[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-82936":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":10,"languages":10,"totalLinesOfCode":10,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":13,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":21,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":45,"readmeContent":46,"aiSummary":47,"trendingCount":15,"starSnapshotCount":15,"syncStatus":48,"lastSyncTime":49,"discoverSource":50},82936,"awesome-hermes-agent","SamurAIGPT\u002Fawesome-hermes-agent","SamurAIGPT","A curated list of skills, plugins, tools, integrations, and resources for Hermes Agent by Nous Research","",null,1692,322,27,5,0,7,32,39,20.53,"MIT License",false,"main",true,[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"agent-tools","agentic-ai","ai-agents","autonomous-agents","awesome","awesome-list","chatbot","deployment","hermes-agent","integrations","llm","mcp","memory","multi-agent","nous-research","open-source","plugins","self-improving","skill-registry","skills","2026-06-12 02:04:29","\u003Cp align=\"center\">\n  \u003Cpicture>\n    \u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002FNousResearch\u002Fhermes-agent\u002Fmain\u002Fassets\u002Fbanner.png\" alt=\"Awesome Hermes Agent\" width=\"600\">\n  \u003C\u002Fpicture>\n\u003C\u002Fp>\n\n# Awesome Hermes Agent\n\n[![Awesome](https:\u002F\u002Fawesome.re\u002Fbadge.svg)](https:\u002F\u002Fawesome.re)\n\n> A hand-picked collection of skills, plugins, tools, integrations, and community resources for [Hermes Agent](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent) — the self-evolving AI agent from [Nous Research](https:\u002F\u002Fnousresearch.com).\n\nHermes Agent is built around a closed learning loop — it generates skills from real experience, improves them while working, and starting from v0.12.0 runs an autonomous Curator that scores, merges, and prunes the skill library on a weekly cron cycle. It builds a growing model of who you are across sessions and retains that context persistently. You can host it on a $5 VPS, a GPU cluster, or one of seven serverless backends (Vercel Sandbox, Daytona, Modal, and more). Access it through any of 18 built-in messaging platforms — Telegram, Discord, Slack, WhatsApp, Signal, Feishu\u002FLark, WeCom, QQBot, Yuanbao, and others — plus Microsoft Teams through a plugin.\n\nThis list tracks the ecosystem building around it.\n\n**See also:** [awesome-openclaw](https:\u002F\u002Fgithub.com\u002FSamurAIGPT\u002Fawesome-openclaw) — curated resources for OpenClaw (formerly Moltbot \u002F Clawdbot), the predecessor agent with a native Hermes migration path.\n\n> Ecosystem snapshot (last reviewed: 2026-05-06)\n> - Hermes Agent: [v0.12.0 (v2026.4.30) — \"The Curator release\"](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\u002Freleases\u002Ftag\u002Fv2026.4.30)\n> - Core repo: [NousResearch\u002Fhermes-agent](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent) (134k+ stars)\n> - Latest release notes: [Hermes releases](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\u002Freleases)\n\n---\n\n## Where Do I Start?\n\nIf you're new to Hermes, start small instead of installing everything at once:\n\n1. **Get it running** — Work through the [Official Docs quickstart](https:\u002F\u002Fhermes-agent.nousresearch.com\u002Fdocs\u002F). It walks you through installation, CLI usage, configuration, and your first conversation.\n2. **Install your first skills** — [wondelai\u002Fskills](https:\u002F\u002Fgithub.com\u002Fwondelai\u002Fskills) (380+ stars, actively maintained) is a cross-platform skills library that works with Hermes and other agents. Or pick up [litprog-skill](https:\u002F\u002Fgithub.com\u002Ftlehman\u002Flitprog-skill) (75+ stars) if you want literate programming support across Hermes, Claude Code, and OpenCode.\n3. **Get a GUI** — [hermes-workspace](https:\u002F\u002Fgithub.com\u002Foutsourc-e\u002Fhermes-workspace) (500+ stars) is a Hermes-native workspace with chat, terminal, and a skills manager. If you need multi-agent fleet management, [mission-control](https:\u002F\u002Fgithub.com\u002Fbuilderz-labs\u002Fmission-control) (3.7k+ stars) handles task dispatch and cost tracking at scale.\n\nOnce you're comfortable with the basics, explore the full list below. Every resource carries a maturity label:\n\n| Tag | Meaning |\n|-----|---------|\n| **production** | Stable, documented, actively maintained — safe to build on |\n| **beta** | Works but still changing — expect some rough edges |\n| **experimental** | Proof of concept or early-stage — informative, not dependable |\n\n---\n\n## Contents\n\n- [Where Do I Start?](#where-do-i-start)\n- [Official Resources](#official-resources)\n- [Skills & Plugins](#skills--plugins)\n  - [Community Skills](#community-skills)\n  - [Plugins](#plugins)\n  - [agentskills.io Ecosystem](#agentskillsio-ecosystem)\n  - [Skill Registries & Discovery](#skill-registries--discovery)\n- [Tools & Utilities](#tools--utilities)\n  - [Deployment](#deployment)\n- [Integrations & Bridges](#integrations--bridges)\n- [Detection & Media Forensics](#detection--media-forensics)\n- [Multi-Agent & Swarms](#multi-agent--swarms)\n- [Domain Applications](#domain-applications)\n- [Forks & Derivatives](#forks--derivatives)\n- [Guides & Documentation](#guides--documentation)\n- [Operational Playbooks](#operational-playbooks)\n- [Level-Up Blueprints](#level-up-blueprints)\n- [Contributing](#contributing)\n- [License](#license)\n\n---\n\n## Official Resources\n\n> Repositories and resources maintained by Nous Research.\n\n- [Hermes Agent](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent) by [Nous Research](https:\u002F\u002Fnousresearch.com) — The core project. A self-improving and self-maintaining AI agent with a closed learning loop, an autonomous `hermes curator` that grades and consolidates the skill library on a cron schedule (v0.12+), messaging support across 18 platforms (Telegram, Discord, Slack, WhatsApp, Signal, Feishu\u002FLark, WeCom, QQBot, Yuanbao, and more) plus Microsoft Teams via plugin, seven execution backends (local, Docker, SSH, Singularity, Modal, Daytona, Vercel Sandbox), cron scheduling, MCP integration, profiles for multi-instance setups, pluggable model providers (Anthropic, ChatCompletions, Responses API, Bedrock), and fallback providers. 134k+ stars. Includes automatic migration from OpenClaw.\n- [autonovel](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fautonovel) by [Nous Research](https:\u002F\u002Fnousresearch.com) — Autonomous long-form writing pipeline built on Hermes. Generates full manuscripts (100k+ words) end-to-end using the agent loop.\n- [hermes-paperclip-adapter](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-paperclip-adapter) by [Nous Research](https:\u002F\u002Fnousresearch.com) — Run Hermes as a managed worker inside Paperclip companies. Connects the agent to Paperclip's task management and governance system.\n- [hermes-agent-self-evolution](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent-self-evolution) by [Nous Research](https:\u002F\u002Fnousresearch.com) — Evolutionary self-improvement using DSPy and GEPA (Genetic Evolution of Prompt Architectures). The research pipeline for optimizing Hermes's own prompts and behaviors.\n- [Official Documentation](https:\u002F\u002Fhermes-agent.nousresearch.com\u002Fdocs\u002F) — Complete docs covering quickstart, CLI, configuration, messaging gateway, security, tools, skills, memory, MCP, cron, ACP, API server, and architecture.\n- [Release Notes](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\u002Freleases) — Official changelog with feature highlights, migration notes, and fixes for each version.\n- [tinker-atropos](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Ftinker-atropos) by [Nous Research](https:\u002F\u002Fnousresearch.com) — Standalone Atropos integration with the Thinking Machines Tinker API. RL training infrastructure for fine-tuning tool-calling models on real agent trajectories.\n- [Skills Hub](https:\u002F\u002Fagentskills.io) — The open standard for agent skills. Compatible across Hermes, Claude Code, Cursor, Codex, and other agents.\n- [Discord](https:\u002F\u002Fdiscord.gg\u002FNousResearch) — The Nous Research community for bug reports, feature requests, and general discussion.\n\n\u003Cbr>\n\n## Skills & Plugins\n\n> Skills are procedural memory — reusable capabilities Hermes builds from experience and sharpens during use. Plugins extend core functionality.\n\n### Community Skills\n\n- **[beta]** [hermes-plugins](https:\u002F\u002Fgithub.com\u002F42-evey\u002Fhermes-plugins) by [42-evey](https:\u002F\u002Fgithub.com\u002F42-evey) — Four plugins covering the most common operational needs: goal management, inter-agent bridging, model selection, and cost control. The inter-agent bridge is useful when running multiple Hermes instances side by side.\n- **[beta]** [hermes-skill-factory](https:\u002F\u002Fgithub.com\u002FRomanescu11\u002Fhermes-skill-factory) by [Romanescu11](https:\u002F\u002Fgithub.com\u002FRomanescu11) — Meta-skill that auto-generates reusable skills from your workflows. Aim it at a repetitive task and it creates a skill for it.\n- **[beta]** [litprog-skill](https:\u002F\u002Fgithub.com\u002Ftlehman\u002Flitprog-skill) by [tlehman](https:\u002F\u002Fgithub.com\u002Ftlehman) — Literate programming skill that works across Claude Code, OpenCode, and Hermes. Combines code and prose into documented, executable notebooks.\n- **[experimental]** [Wizards-of-the-Ghosts](https:\u002F\u002Fgithub.com\u002FHmbown\u002FWizards-of-the-Ghosts) by [Hmbown](https:\u002F\u002Fgithub.com\u002FHmbown) — Fantasy spell-themed skill pack. Wraps real development operations (refactoring, linting, testing) in a tabletop RPG interface.\n- **[experimental]** [super-hermes](https:\u002F\u002Fgithub.com\u002FCranot\u002Fsuper-hermes) by [Cranot](https:\u002F\u002Fgithub.com\u002FCranot) — Trains Hermes to write better analytical prompts for itself before executing tasks. Adds a meta-reasoning layer where the agent generates stronger prompts before acting.\n- **[experimental]** [hermes-life-os](https:\u002F\u002Fgithub.com\u002FLethe044\u002Fhermes-life-os) by [Lethe044](https:\u002F\u002Fgithub.com\u002FLethe044) — Personal OS agent that detects daily patterns and learns your routines over time. Uses Hermes's memory system for lifestyle tracking, not just code.\n- **[beta]** [acca-tracker](https:\u002F\u002Fgithub.com\u002Fsvenmedina07-ship-it\u002Fskills\u002Ftree\u002Fmain\u002Facca-tracker) by [Banozz](https:\u002F\u002Fgithub.com\u002Fsvenmedina07-ship-it) — Multi-sport accumulator bet tracker for football, basketball, and tennis with live score monitoring. Detects sport per leg automatically, covers 30+ bet types, includes a scripts\u002Fscores.sh helper with TheSportsDB + ESPN fallback (NBA, WNBA, NCAA). 15-minute cron reports with per-leg status and overall acca health.\n- **[beta]** [hermes-incident-commander](https:\u002F\u002Fgithub.com\u002FLethe044\u002Fhermes-incident-commander) by [Lethe044](https:\u002F\u002Fgithub.com\u002FLethe044) — Autonomous SRE agent for production incident detection and self-healing. Monitors services, diagnoses failures, and applies fixes. Works naturally with Hermes's cron scheduling.\n- **[beta]** [hermes-dojo](https:\u002F\u002Fgithub.com\u002FYonkoo11\u002Fhermes-dojo) by [Yonkoo11](https:\u002F\u002Fgithub.com\u002FYonkoo11) — Self-improvement system that tracks agent performance, identifies weak skills, and iterates on them automatically.\n- **[beta]** [hermes-spotify-skill](https:\u002F\u002Fgithub.com\u002FAlexeyisme\u002Fhermes-spotify-skill) by [Alexeyisme](https:\u002F\u002Fgithub.com\u002FAlexeyisme) — Spotify playback control for headless Linux and Raspberry Pi 4\u002F5. Search, play, pause, skip, set volume, and transfer between Spotify Connect devices. No daemon required — Hermes writes spotipy snippets and runs them through `execute_code`. Compatible with raspotify for Pi-as-speaker. The only Linux-native Spotify skill in the ecosystem.\n- **[experimental]** [hermes-skill-marketplace](https:\u002F\u002Fgithub.com\u002FLethe044\u002Fhermes-skill-marketplace) by [Lethe044](https:\u002F\u002Fgithub.com\u002FLethe044) — Agent that writes, tests, and publishes new skills autonomously. Automates the full skill creation and distribution lifecycle.\n- **[experimental]** [personal-api](https:\u002F\u002Fgithub.com\u002Fbeiyuii\u002Fpersonal-api-skill) by [beiyuii](https:\u002F\u002Fgithub.com\u002Fbeiyuii) — Turns your Obsidian vault into an identity layer any AI agent can read in under 30 seconds.\n- **[beta]** [hermes-nextcloud](https:\u002F\u002Fgithub.com\u002Fadnw-vinc\u002Fhermes-nextcloud) by [adnw-vinc](https:\u002F\u002Fgithub.com\u002Fadnw-vinc) — Self-hosted Nextcloud bridge covering files (WebDAV), notes (Nextcloud Notes API), calendar and tasks (CalDAV), and contacts (CardDAV). App Password auth, configurable timezone, guided setup. Fills the self-hosted-cloud gap for Hermes users running their own infrastructure.\n- **[beta]** [oh-my-hermes](https:\u002F\u002Fgithub.com\u002Fwitt3rd\u002Foh-my-hermes) by [witt3rd](https:\u002F\u002Fgithub.com\u002Fwitt3rd) — Multi-agent orchestration skills for Hermes, inspired by `oh-my-claudecode` and rebuilt on Hermes primitives. Covers deep-research, deep-interview, `ralplan` (Planner → Architect → Critic consensus), `ralph` (execute → verify → iterate), `triage`, and `autopilot`. Composes end-to-end: research → interview → plan → verified execution.\n\n### agentskills.io Ecosystem\n\n> Skills built on the [agentskills.io](https:\u002F\u002Fagentskills.io) open standard — compatible with Hermes and other agent platforms.\n\n- **[production]** [wondelai\u002Fskills](https:\u002F\u002Fgithub.com\u002Fwondelai\u002Fskills) by [wondelai](https:\u002F\u002Fgithub.com\u002Fwondelai) — Cross-platform agent skills for Claude Code and agentskills.io-compatible platforms.\n- **[production]** [youtube-skills](https:\u002F\u002Fgithub.com\u002FZeroPointRepo\u002Fyoutube-skills) by [therohitdas](https:\u002F\u002Fgithub.com\u002Ftherohitdas) — YouTube search, channel browsing, playlist extraction, and reliable transcripts on top of Hermes's built-in `youtube-content`. Routes through TranscriptAPI's backend (15M+ transcripts\u002Fmonth) to stay unblocked on cloud IP ranges. 12 sub-skills covering the full search → fetch → bulk extraction flow.\n- **[production]** [Anthropic-Cybersecurity-Skills](https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills) by [mukul975](https:\u002F\u002Fgithub.com\u002Fmukul975) — 753+ structured cybersecurity skills mapped to the MITRE ATT&CK framework. The most comprehensive security skills collection available for the ecosystem. 4k+ stars.\n- **[production]** [chainlink-agent-skills](https:\u002F\u002Fgithub.com\u002Fsmartcontractkit\u002Fchainlink-agent-skills) by [Chainlink](https:\u002F\u002Fgithub.com\u002Fsmartcontractkit) — Official Chainlink agent skills on the agentskills.io spec. Oracle network data, CCIP, and smart contract interaction.\n- **[production]** [black-forest-labs\u002Fskills](https:\u002F\u002Fgithub.com\u002Fblack-forest-labs\u002Fskills) by [Black Forest Labs](https:\u002F\u002Fgithub.com\u002Fblack-forest-labs) — Official FLUX model skills for image generation. First-party skills from the team behind FLUX.\n- **[production]** [pydantic-ai-skills](https:\u002F\u002Fgithub.com\u002FDougTrajano\u002Fpydantic-ai-skills) by [DougTrajano](https:\u002F\u002Fgithub.com\u002FDougTrajano) — Pydantic AI with agentskills.io support. Adds type-safe schema validation to agent skill inputs and outputs.\n- **[beta]** [cognify-skills](https:\u002F\u002Fgithub.com\u002FYarmoluk\u002Fcognify-skills) by [Yarmoluk](https:\u002F\u002Fgithub.com\u002FYarmoluk) — 19 business operations skills covering CRM, invoicing, and project management workflows.\n- **[beta]** [execplan-skill](https:\u002F\u002Fgithub.com\u002Ftiann\u002Fexecplan-skill) by [tiann](https:\u002F\u002Fgithub.com\u002Ftiann) — Handles long-running task execution with proper lifecycle management — progress tracking, checkpoints, and failure recovery.\n- **[beta]** [maestro](https:\u002F\u002Fgithub.com\u002FReinaMacCredy\u002Fmaestro) by [ReinaMacCredy](https:\u002F\u002Fgithub.com\u002FReinaMacCredy) — Skill orchestration with Conductor planning and Beads tracking. Structures multi-step skill execution into observable pipelines.\n- **[beta]** [bmad-module-skill-forge](https:\u002F\u002Fgithub.com\u002Farmelhbobdad\u002Fbmad-module-skill-forge) by [armelhbobdad](https:\u002F\u002Fgithub.com\u002Farmelhbobdad) — Converts repos and documentation into agentskills.io-compliant skills. Input a codebase, get installable skills.\n- **[beta]** [Agentic-MCP-Skill](https:\u002F\u002Fgithub.com\u002Fcablate\u002FAgentic-MCP-Skill) by [cablate](https:\u002F\u002Fgithub.com\u002Fcablate) — MCP client with agentskills.io validation. Bridges MCP tool servers with the skills standard.\n- **[experimental]** [ripley-xmr-gateway](https:\u002F\u002Fgithub.com\u002FKYC-rip\u002Fripley-xmr-gateway) by [KYC-rip](https:\u002F\u002Fgithub.com\u002FKYC-rip) — Monero (XMR) blockchain gateway for agents. Enables private cryptocurrency transactions from agent workflows.\n- **[beta]** [skillsdotnet](https:\u002F\u002Fgithub.com\u002FPederHP\u002Fskillsdotnet) by [PederHP](https:\u002F\u002Fgithub.com\u002FPederHP) — C# implementation of agentskills.io with MCP integration. A .NET path into the skills ecosystem.\n- **[beta]** [colony-skill](https:\u002F\u002Fgithub.com\u002FTheColonyCC\u002Fcolony-skill) by [TheColonyCC](https:\u002F\u002Fgithub.com\u002FTheColonyCC) — Collaborative intelligence platform where AI agents and humans post findings, discuss ideas, complete tasks, earn karma, and build reputation. Community hub at [thecolony.cc](https:\u002F\u002Fthecolony.cc).\n- **[beta]** [AgentCash](https:\u002F\u002Fgithub.com\u002FMerit-Systems\u002Fagentcash-skills) by [Merit-Systems](https:\u002F\u002Fgithub.com\u002FMerit-Systems) — Gives agents access to 300+ premium APIs through a single skill backed by a wallet balance for x402 or MPP payments. Covers web scraping, image generation, email delivery, and more.\n- **[beta]** [x-twitter-scraper](https:\u002F\u002Fgithub.com\u002FXquik-dev\u002Fx-twitter-scraper) by [Xquik-dev](https:\u002F\u002Fgithub.com\u002FXquik-dev) — Typed X (Twitter) access across 43 SKILL.md folders covering reads (search, timelines, mentions, trends, articles, bookmarks, for-you), writes (post, DM, follow, profile updates), bulk extraction (followers, communities, lists, spaces), and AI composition (write-tweets, threads, optimize, going-viral). Typed JSON in\u002Fout through the Xquik API — no browser automation.\n- **[production]** [drawio-skill](https:\u002F\u002Fgithub.com\u002FAgents365-ai\u002Fdrawio-skill) by [Agents365-ai](https:\u002F\u002Fgithub.com\u002FAgents365-ai) — Generates draw.io diagrams from natural language and exports to PNG\u002FSVG\u002FPDF. SKILL.md format, works across Claude Code, OpenClaw, Hermes, and Codex. 1.1k+ stars.\n- **[production]** [open-design](https:\u002F\u002Fgithub.com\u002Fnexu-io\u002Fopen-design) by [nexu-io](https:\u002F\u002Fgithub.com\u002Fnexu-io) — Local-first, open-source design alternative with 31 composable skills over 129 design systems, plus image, video, and audio generation. Integrates with Hermes via ACP\u002FJSON-RPC. 28k+ stars.\n- **[beta]** [master-skill](https:\u002F\u002Fgithub.com\u002Fvoidborne-d\u002Fmaster-skill) by [voidborne-d](https:\u002F\u002Fgithub.com\u002Fvoidborne-d) — Distills an entire industry domain into a portable skill folder through a 5-phase research and synthesis pipeline. Works across Hermes, Claude Code, OpenClaw, and Codex. Ships 9 industries at v1.4.\n\n### Plugins\n\n- **[beta]** [plur](https:\u002F\u002Fgithub.com\u002Fplur-ai\u002Fplur) by [plur-ai](https:\u002F\u002Fgithub.com\u002Fplur-ai) — Shared memory layer for AI agents using an open engram format (YAML). Useful for persistent learning patterns across Hermes sessions.\n- **[experimental]** [hermes-payguard](https:\u002F\u002Fgithub.com\u002Fnativ3ai\u002Fhermes-payguard) by [nativ3ai](https:\u002F\u002Fgithub.com\u002Fnativ3ai) — USDC and x402 payment plugin. Lets Hermes send and receive payments with configurable spending limits and approval flows.\n- **[beta]** [hermes-web-search-plus](https:\u002F\u002Fgithub.com\u002Frobbyczgw-cla\u002Fhermes-web-search-plus) by [robbyczgw-cla](https:\u002F\u002Fgithub.com\u002Frobbyczgw-cla) — Multi-provider web search that intelligently routes across Serper, Tavily, Exa, and more. Better result quality and source diversity than the built-in search.\n- **[beta]** [hermes-weather-plugin](https:\u002F\u002Fgithub.com\u002FFahrenheitResearch\u002Fhermes-weather-plugin) by [FahrenheitResearch](https:\u002F\u002Fgithub.com\u002FFahrenheitResearch) — Professional-grade weather plugin with NWS model imagery, NEXRAD radar, and meteorological calculations.\n- **[experimental]** [hermes-wxtrain-plugin](https:\u002F\u002Fgithub.com\u002FFahrenheitResearch\u002Fhermes-wxtrain-plugin) by [FahrenheitResearch](https:\u002F\u002Fgithub.com\u002FFahrenheitResearch) — ML pipeline plugin for building training datasets from HRRR\u002FGFS\u002FERA5 weather models. Companion to the weather plugin for weather ML workflows.\n- **[experimental]** [hermes-plugin-chrome-profiles](https:\u002F\u002Fgithub.com\u002Fanpicasso\u002Fhermes-plugin-chrome-profiles) by [anpicasso](https:\u002F\u002Fgithub.com\u002Fanpicasso) — Switch browser tools between Chrome profiles via CDP. Useful for multi-account testing or browsing with different saved sessions.\n- **[experimental]** [hermes-cloudflare](https:\u002F\u002Fgithub.com\u002Fraulvidis\u002Fhermes-cloudflare) by [raulvidis](https:\u002F\u002Fgithub.com\u002Fraulvidis) — Cloudflare browser rendering plugin. Headless browsing routed through Cloudflare's infrastructure instead of local automation.\n- **[beta]** [evey-bridge-plugin](https:\u002F\u002Fgithub.com\u002F42-evey\u002Fevey-bridge-plugin) by [42-evey](https:\u002F\u002Fgithub.com\u002F42-evey) — Claude Code plugin for bridging with Hermes. Lets Claude Code and Hermes share context and hand off tasks to each other.\n- **[beta]** [agent-analytics-hermes-plugin](https:\u002F\u002Fgithub.com\u002FAgent-Analytics\u002Fagent-analytics-hermes-plugin) by [Agent-Analytics](https:\u002F\u002Fgithub.com\u002FAgent-Analytics) — Native Signals dashboard tab for Hermes with read-only multi-project analytics, explicit timeframe controls, and theme-aware UI.\n- **[beta]** [hermes-curator-evolver](https:\u002F\u002Fgithub.com\u002Fpingchesu\u002Fhermes-curator-evolver) by [pingchesu](https:\u002F\u002Fgithub.com\u002Fpingchesu) — Evidence-driven companion to v0.12's built-in Curator. Observes tool and skill events into a local SQLite store, backfills existing session history, generates reports and dry-run proposals, and runs a guarded daily loop that only appends low-risk evidence-backed notes with backups and rollback manifests.\n- **[beta]** [rtk-hermes](https:\u002F\u002Fgithub.com\u002Fogallotti\u002Frtk-hermes) by [ogallotti](https:\u002F\u002Fgithub.com\u002Fogallotti) — Plugin that intercepts shell commands via `pre_tool_call` and compresses terminal output through [RTK](https:\u002F\u002Fgithub.com\u002Frtk-ai\u002Frtk) before it reaches the LLM context. 60–90% token reduction on shell commands. Zero config — auto-loads on gateway boot.\n\n### Skill Registries & Discovery\n\n- **[beta]** [hermeshub](https:\u002F\u002Fgithub.com\u002Famanning3390\u002Fhermeshub) by [amanning3390](https:\u002F\u002Fgithub.com\u002Famanning3390) — Browse, share, and install community skills for Hermes. A community hub for skill discovery, still early but growing.\n- **[production]** [skilldock.io](https:\u002F\u002Fgithub.com\u002Fchigwell\u002Fskilldock.io) by [chigwell](https:\u002F\u002Fgithub.com\u002Fchigwell) — Registry of reusable AI skills compatible with OpenClaw, Claude Code, and Hermes. An established cross-platform skills marketplace.\n- **[production]** [Global Chat](https:\u002F\u002Fglobal-chat.io) by [pumanitro](https:\u002F\u002Fgithub.com\u002Fpumanitro) — Cross-protocol agent discovery across MCP, A2A, and agents.txt. Searchable directory of 18K+ MCP servers and agents.\n\n\u003Cbr>\n\n## Tools & Utilities\n\n> Applications, CLIs, and utilities built on top of or alongside Hermes Agent.\n\n- **[production]** [hermes-workspace](https:\u002F\u002Fgithub.com\u002Foutsourc-e\u002Fhermes-workspace) by [outsourc-e](https:\u002F\u002Fgithub.com\u002Foutsourc-e) — Web-based workspace with chat, terminal, memory browser, skills manager, and inspector. The most complete GUI for Hermes. Built at the Nous Hackathon 2026.\n- **[beta]** [hermes-desktop](https:\u002F\u002Fgithub.com\u002Fdodo-reach\u002Fhermes-desktop) by [dodo-reach](https:\u002F\u002Fgithub.com\u002Fdodo-reach) — Native macOS workspace for Hermes built around a direct, host-first SSH connection model. Includes a real embedded terminal, session browsing, file editing, skills browsing, and usage metrics — no extra gateway or daemon.\n- **[production]** [mission-control](https:\u002F\u002Fgithub.com\u002Fbuilderz-labs\u002Fmission-control) by [builderz-labs](https:\u002F\u002Fgithub.com\u002Fbuilderz-labs) — Open-source dashboard for AI agent orchestration. Manage fleets, dispatch tasks, track costs, and coordinate multi-agent workflows. Self-hosted, SQLite-powered. 3.7k+ stars.\n- **[experimental]** [hermes-neurovision](https:\u002F\u002Fgithub.com\u002FTranquil-Flow\u002Fhermes-neurovision) by [Tranquil-Flow](https:\u002F\u002Fgithub.com\u002FTranquil-Flow) — Terminal neurovisualizer with 42 animated themes. Decorative overlays for agent activity.\n- **[beta]** [lintlang](https:\u002F\u002Fgithub.com\u002Froli-lpci\u002Flintlang) by [roli-lpci](https:\u002F\u002Fgithub.com\u002Froli-lpci) — Static linter for AI agent configs and prompts with HERM v1.1 scoring. Catches config mistakes that silently degrade agent behavior.\n- **[beta]** [nix-hermes-agent](https:\u002F\u002Fgithub.com\u002F0xrsydn\u002Fnix-hermes-agent) by [0xrsydn](https:\u002F\u002Fgithub.com\u002F0xrsydn) — Nix package and NixOS module for Hermes. Fully reproducible deployments via Nix flakes.\n- **[beta]** [openclaw-to-hermes](https:\u002F\u002Fgithub.com\u002F0xNyk\u002Fopenclaw-to-hermes) by [0xNyk](https:\u002F\u002Fgithub.com\u002F0xNyk) — Community migration tool from OpenClaw to Hermes. For Hermes v0.3.0+, the native `hermes claw migrate` command now covers the full path — use this as a fallback.\n- **[experimental]** [vessel-browser](https:\u002F\u002Fgithub.com\u002Funmodeled-tyler\u002Fvessel-browser) by [unmodeled-tyler](https:\u002F\u002Fgithub.com\u002Funmodeled-tyler) — AI-native Linux browser with MCP control and autonomous browsing. A full browser built for agent use, not just a headless wrapper.\n- **[production]** [camofox-browser](https:\u002F\u002Fgithub.com\u002Fjo-inc\u002Fcamofox-browser) by [jo-inc](https:\u002F\u002Fgithub.com\u002Fjo-inc) — Stealth headless browser server with a REST API that bypasses Cloudflare, bot detection, and anti-scraping. Drop-in Puppeteer\u002FPlaywright replacement used in Hermes's own browser automation. 4k+ stars, MIT. The right backend when your VPS-hosted Hermes keeps getting blocked.\n- **[beta]** [portable-hermes-agent](https:\u002F\u002Fgithub.com\u002Frookiemann\u002Fportable-hermes-agent) by [rookiemann](https:\u002F\u002Fgithub.com\u002Frookiemann) — Windows desktop app bundling 100 tools, GUI, local models, ComfyUI, and workflows in a single portable package.\n- **[beta]** [hermes-ui](https:\u002F\u002Fgithub.com\u002Fpyrate-llama\u002Fhermes-ui) by [pyrate-llama](https:\u002F\u002Fgithub.com\u002Fpyrate-llama) — Single-file glassmorphic web UI with SSE streaming, tool call visualization, activity panel, image analysis (Gemini Vision), session management, PDF export, skill browser, memory viewer, and mobile support. Python proxy on port 3333, no build step required.\n- **[beta]** [hermes-webui](https:\u002F\u002Fgithub.com\u002Fsanchomuzax\u002Fhermes-webui) by [sanchomuzax](https:\u002F\u002Fgithub.com\u002Fsanchomuzax) — Lightweight process monitoring and configuration dashboard. A simpler alternative to hermes-workspace, focused on ops.\n- **[production]** [hermes-web-ui](https:\u002F\u002Fgithub.com\u002FEKKOLearnAI\u002Fhermes-web-ui) by [EKKOLearnAI](https:\u002F\u002Fgithub.com\u002FEKKOLearnAI) — Vue 3 + TypeScript dashboard with real-time streaming chat across multiple backends, unified config for 8 messaging channels, token\u002Fcost analytics with 30-day trends, cron scheduling, multi-profile gateway management, multi-agent group chat with @mention routing, and a WebSocket terminal. 3.6k+ stars.\n- **[beta]** [evey-setup](https:\u002F\u002Fgithub.com\u002F42-evey\u002Fevey-setup) by [42-evey](https:\u002F\u002Fgithub.com\u002F42-evey) — One-command setup for the full Hermes stack with free models and 29 pre-configured plugins.\n- **[beta]** [flowstate-qmd](https:\u002F\u002Fgithub.com\u002Famanning3390\u002Fflowstate-qmd) by [amanning3390](https:\u002F\u002Fgithub.com\u002Famanning3390) — Anticipatory memory for AI agents using RAG and vector search. Pre-loads relevant context before queries reach the agent.\n- **[beta]** [mnemo-hermes](https:\u002F\u002Fgithub.com\u002Feleion-ai\u002Fmnemo-hermes) by [hernanqwz](https:\u002F\u002Fgithub.com\u002Fhernanqwz) \u002F [Eleion AI](https:\u002F\u002Fgithub.com\u002Feleion-ai) — Semantic memory plugin adding pgvector vector search to Hermes's built-in FTS5 memory. Five tools plus an `on_session_start` hook for automatic context loading. Runs entirely local via Ollama, no API keys needed. MIT licensed.\n- **[beta]** [Mnemosyne](https:\u002F\u002Fgithub.com\u002FAxDSan\u002FMnemosyne) by [AxDSan](https:\u002F\u002Fgithub.com\u002FAxDSan) — Local-first sub-millisecond memory system built for Hermes. SQLite + sqlite-vec hybrid search (50% vector \u002F 30% FTS5 \u002F 20% importance), BEAM tiered architecture (working \u002F episodic \u002F scratchpad), and a temporal knowledge graph with time-aware fact invalidation. Zero external dependencies.\n- **[production]** [SkillClaw](https:\u002F\u002Fgithub.com\u002FAMAP-ML\u002FSkillClaw) by [AMAP-ML](https:\u002F\u002Fgithub.com\u002FAMAP-ML) — Open-source companion that auto-evolves, deduplicates, and improves your skill library from real session data. Adds a post-task evolution loop on top of Hermes's built-in skill creation. Native integration via `~\u002F.hermes\u002Fskills`. 705 stars, MIT licensed.\n- **[production]** [Clarvia](https:\u002F\u002Fgithub.com\u002Fclarvia-project\u002Fscanner) by [clarvia-project](https:\u002F\u002Fgithub.com\u002Fclarvia-project) — AEO (Agent Experience Optimization) scoring for MCP tools. Analyzes 15,400+ indexed MCP servers for agent-friendliness. REST API + MCP server so agents can evaluate tools from inside their own loop.\n- **[beta]** [agenttrace](https:\u002F\u002Fgithub.com\u002Fluoyuctl\u002Fagenttrace) by [luoyuctl](https:\u002F\u002Fgithub.com\u002Fluoyuctl) — Local-first TUI\u002FCLI for post-run session audits covering cost and token spikes, tool failures, retry loops, latency gaps, health scores, anomaly detection, and session diffs. No upload, no cloud, MIT. Ships a companion SKILL.md for in-agent audit runs.\n\n### Deployment\n\n- **[beta]** [hermes-agent-docker](https:\u002F\u002Fgithub.com\u002Fxmbshwll\u002Fhermes-agent-docker) by [xmbshwll](https:\u002F\u002Fgithub.com\u002Fxmbshwll) — Minimal Docker sandbox image for Hermes. Pull, run, done.\n- **[beta]** [hermes-agent-template](https:\u002F\u002Fgithub.com\u002FCrustocean\u002Fhermes-agent-template) by [Crustocean](https:\u002F\u002Fgithub.com\u002FCrustocean) — Production-ready Docker image for cloud Hermes deployments. Infrastructure wiring pre-configured.\n- **[experimental]** [portainer-stack-hermes](https:\u002F\u002Fgithub.com\u002Fellickjohnson\u002Fportainer-stack-hermes) by [ellickjohnson](https:\u002F\u002Fgithub.com\u002Fellickjohnson) — Docker Compose + Portainer + ttyd web terminal. Deploy Hermes and reach it from any browser.\n- **[experimental]** [hermes-autonomous-server](https:\u002F\u002Fgithub.com\u002FJackTheGit\u002Fhermes-autonomous-server) by [JackTheGit](https:\u002F\u002Fgithub.com\u002FJackTheGit) — Headless Hermes deployment with systemd and cron on Linux servers. Runs unattended.\n\n\u003Cbr>\n\n## Integrations & Bridges\n\n> Connect Hermes to other platforms, devices, and services.\n\n- **[beta]** [hermes-android](https:\u002F\u002Fgithub.com\u002Fraulvidis\u002Fhermes-android) by [raulvidis](https:\u002F\u002Fgithub.com\u002Fraulvidis) — Android device bridge with a full Python toolset. Lets Hermes interact with and control Android devices.\n- **[beta]** [hermes-miniverse](https:\u002F\u002Fgithub.com\u002Fteknium1\u002Fhermes-miniverse) by [teknium1](https:\u002F\u002Fgithub.com\u002Fteknium1) — Bridge to Miniverse pixel worlds. By a Nous Research co-founder.\n- **[production]** [hindsight](https:\u002F\u002Fgithub.com\u002Fvectorize-io\u002Fhindsight) by [Vectorize](https:\u002F\u002Fgithub.com\u002Fvectorize-io) — Long-term memory layer for agents with retain\u002Frecall\u002Freflect workflows. Integrates with Hermes via plugin or MCP and supports semantic, graph, and temporal retrieval.\n- **[beta]** [honcho-self-hosted](https:\u002F\u002Fgithub.com\u002Felkimek\u002Fhoncho-self-hosted) by [elkimek](https:\u002F\u002Fgithub.com\u002Felkimek) — Self-hosted Honcho memory backend for Hermes. Useful when you need stronger cross-session memory behavior with full local control.\n- **[beta]** [yantrikdb-hermes-plugin](https:\u002F\u002Fgithub.com\u002Fyantrikos\u002Fyantrikdb-hermes-plugin) by [yantrikos](https:\u002F\u002Fgithub.com\u002Fyantrikos) — Hermes-native memory provider for YantrikDB. Self-maintaining memory: `think()` canonicalizes duplicates, `conflicts()` surfaces contradictions instead of silently overwriting, and every `recall()` result carries a `why_retrieved` reason list for explainable ranking. Drop-in install, talks HTTP to a Rust backend.\n- **[experimental]** [zouroboros-swarm-executors](https:\u002F\u002Fgithub.com\u002Fmarlandoj\u002Fzouroboros-swarm-executors) by [marlandoj](https:\u002F\u002Fgithub.com\u002Fmarlandoj) — Local executor bridge for Claude Code + Hermes integration. Enables task handoff between both agents.\n- **[beta]** [reina](https:\u002F\u002Fgithub.com\u002FCrustocean\u002Freina) by [Crustocean](https:\u002F\u002Fgithub.com\u002FCrustocean) — Autonomous AI agent for the Crustocean platform. Deep Hermes integration into the Crustocean product.\n- **[beta]** [hermes-agent-acp-skill](https:\u002F\u002Fgithub.com\u002FRainhoole\u002Fhermes-agent-acp-skill) by [Rainhoole](https:\u002F\u002Fgithub.com\u002FRainhoole) — Multi-agent delegation skill bridging Hermes, Codex, and Claude Code. Routes subtasks to the best-suited agent automatically.\n- **[experimental]** [hermes-blockchain-oracle](https:\u002F\u002Fgithub.com\u002Fgizdusum\u002Fhermes-blockchain-oracle) by [gizdusum](https:\u002F\u002Fgithub.com\u002Fgizdusum) — Solana blockchain intelligence MCP server. Provides on-chain analytics and wallet data to Hermes via MCP.\n- **[experimental]** [hermes-council](https:\u002F\u002Fgithub.com\u002FRidwannurudeen\u002Fhermes-council) by [Ridwannurudeen](https:\u002F\u002Fgithub.com\u002FRidwannurudeen) — Adversarial multi-perspective council MCP server. Multiple AI viewpoints debate before the agent commits to a decision.\n- **[production]** [Not Human Search](https:\u002F\u002Fgithub.com\u002Funitedideas\u002Fnothumansearch-mcp) by [unitedideas](https:\u002F\u002Fgithub.com\u002Funitedideas) — MCP server for discovering other MCP servers. Indexes 8,600+ agent-friendly sites with agentic scoring, category filters, and live JSON-RPC verification. Wire it into Hermes to let the agent find and evaluate new tools on its own.\n- **[experimental]** [NemoHermes](https:\u002F\u002Fgithub.com\u002FHmbown\u002FNemoHermes) by [Hmbown](https:\u002F\u002Fgithub.com\u002FHmbown) — NVIDIA capability registry and Spark-aware routing layer. Routes compute-heavy tasks to available GPU infrastructure.\n- **[beta]** [microsoft-workspace-skill](https:\u002F\u002Fgithub.com\u002FAndrew-Girgis\u002Fmicrosoft-workspace-skill) by [Andrew-Girgis](https:\u002F\u002Fgithub.com\u002FAndrew-Girgis) — Full Outlook\u002FHotmail\u002FMicrosoft 365 integration via Microsoft Graph API. Email, calendar, contacts, user profile, and free\u002Fbusy scheduling. OAuth2 with auto-refresh. Includes a preview-before-send pattern that prevents shell `$` variable mangling when agents compose emails containing dollar amounts.\n- **[beta]** [agent-android](https:\u002F\u002Fgithub.com\u002Faivanelabs\u002Fai-rpa\u002Ftree\u002Fmain\u002Fskills\u002Fagent-android) by [AIVane Labs](https:\u002F\u002Fgithub.com\u002Faivanelabs) — LAN-first Android control for Hermes over WiFi — no USB, ADB, or root required once the AIVane service is running. Supports health checks, app listing, UI tree inspection, taps, text input, swipes, navigation, screenshots, and inspect→act→smoke flows. Only connects to user-provided device URLs.\n- **[beta]** [clawsocial-hermes-plugin](https:\u002F\u002Fgithub.com\u002Fmrpeter2025\u002Fclawsocial-hermes-plugin) by [mrpeter2025](https:\u002F\u002Fgithub.com\u002Fmrpeter2025) — Social discovery plugin with semantic interest matching, real-time WebSocket messaging, shareable profile cards, and local\u002Fweb inbox. All actions require explicit user request. Bilingual (English + Chinese).\n- **[beta]** [mistral-mcp](https:\u002F\u002Fgithub.com\u002FSwih\u002Fmistral-mcp) by [Swih](https:\u002F\u002Fgithub.com\u002FSwih) — MCP server (stdio + Streamable HTTP) wrapping the full Mistral AI surface — chat, embeddings, vision, OCR, Voxtral audio, Codestral FIM, agents, moderation, classification, files, and batch. 22 tools. Route OCR\u002Faudio\u002FFIM\u002Fclassification to Mistral's specialized endpoints while keeping your primary reasoning model.\n- **[production]** [MeiGen-AI-Design-MCP](https:\u002F\u002Fgithub.com\u002Fjau123\u002FMeiGen-AI-Design-MCP) by [jau123](https:\u002F\u002Fgithub.com\u002Fjau123) — Stdio MCP server for AI image and video generation across 9 leading models plus local ComfyUI. Three backend modes: MeiGen cloud, any OpenAI-compatible API (BYOK), or fully offline ComfyUI. README ships a tested Hermes `mcp_servers` YAML with the timeout overrides needed for video generation workflows. 1k+ stars.\n\n\u003Cbr>\n\n## Detection & Media Forensics\n\n> Skills for verifying whether media is real or AI-generated — essential for agents that ingest user-submitted audio, images, video, or text.\n\n- **[beta]** [resemble-ai\u002Fdetect-skill](https:\u002F\u002Fgithub.com\u002Fresemble-ai\u002Fdetect-skill) by [resemble-ai](https:\u002F\u002Fgithub.com\u002Fresemble-ai) — Deepfake detection and media safety for agents. Detects AI-generated audio, images, video, and text; traces audio source (ElevenLabs, Resemble, etc.); applies invisible watermarks for provenance tracking; verifies speaker identity (Beta). Core principle: never declare media real or fake without a completed detection result.\n\n\u003Cbr>\n\n## Multi-Agent & Swarms\n\n> Frameworks and tools for running multiple Hermes agents, or Hermes alongside other agents.\n\n- **[experimental]** [Ankh.md](https:\u002F\u002Fgithub.com\u002FAbruptive\u002FAnkh.md) by [Abruptive](https:\u002F\u002Fgithub.com\u002FAbruptive) — TAW Agent x Hermes multi-agent swarm framework. Coordinates multiple agents toward shared goals with distributed task execution.\n- **[experimental]** [gladiator](https:\u002F\u002Fgithub.com\u002Fruntimenoteslabs\u002Fgladiator) by [runtimenoteslabs](https:\u002F\u002Fgithub.com\u002Fruntimenoteslabs) — Two autonomous AI companies compete for GitHub stars. A hackathon project exploring agent competition dynamics.\n- **[beta]** [bigiron](https:\u002F\u002Fgithub.com\u002Fsupermodeltools\u002Fbigiron) by [supermodeltools](https:\u002F\u002Fgithub.com\u002Fsupermodeltools) — AI-native SDLC with Hermes and Supermodel code graph. Full software development lifecycle run by coordinated agents.\n- **[beta]** [opencode-hermes-multiagent](https:\u002F\u002Fgithub.com\u002F1ilkhamov\u002Fopencode-hermes-multiagent) by [1ilkhamov](https:\u002F\u002Fgithub.com\u002F1ilkhamov) — 17 specialized agents for OpenCode AI. Each agent has a defined role and communicates through structured interfaces.\n\n\u003Cbr>\n\n## Domain Applications\n\n> Purpose-built applications using Hermes for specific domains.\n\n- **[experimental]** [hermes-embodied](https:\u002F\u002Fgithub.com\u002Fbryercowan\u002Fhermes-embodied) by [bryercowan](https:\u002F\u002Fgithub.com\u002Fbryercowan) — Self-improving robotics via VLA model fine-tuning. Applies the Hermes learning loop to physical robot control.\n- **[beta]** [hermescraft](https:\u002F\u002Fgithub.com\u002Fbigph00t\u002Fhermescraft) by [bigph00t](https:\u002F\u002Fgithub.com\u002Fbigph00t) — Embodied AI companion for Minecraft with persistent memory. Tracks inventory, learns building preferences, and retains context across sessions.\n- **[experimental]** [Hermes-mars-rover](https:\u002F\u002Fgithub.com\u002FSnehal707\u002FHermes-mars-rover) by [Snehal707](https:\u002F\u002Fgithub.com\u002FSnehal707) — Mars rover simulator using ROS2 and Gazebo. Applies Hermes's skill creation loop to improve navigation over time.\n- **[beta]** [anihermes](https:\u002F\u002Fgithub.com\u002Frodmarkun\u002Fanihermes) by [rodmarkun](https:\u002F\u002Fgithub.com\u002Frodmarkun) — Local anime server and tracker with a natural language interface. Browse, track, and get recommendations through conversation.\n- **[beta]** [job-scout-agent](https:\u002F\u002Fgithub.com\u002FChristabel337\u002Fjob-scout-agent) by [Christabel337](https:\u002F\u002Fgithub.com\u002FChristabel337) — Autonomous job hunting agent that searches listings, tracks applications, and manages the full job search pipeline.\n- **[beta]** [hermes-ai-infrastructure-monitoring-toolkit](https:\u002F\u002Fgithub.com\u002FJackTheGit\u002Fhermes-ai-infrastructure-monitoring-toolkit) by [JackTheGit](https:\u002F\u002Fgithub.com\u002FJackTheGit) — Infrastructure monitoring, cost forecasting, and alerting via Telegram. Uses cron scheduling for continuous checks.\n- **[experimental]** [hermes-genesis](https:\u002F\u002Fgithub.com\u002FRidwannurudeen\u002Fhermes-genesis) by [Ridwannurudeen](https:\u002F\u002Fgithub.com\u002FRidwannurudeen) — Autonomous living world engine with procedural generation. Creates and maintains virtual environments that grow in complexity over time.\n- **[experimental]** [hermes-legal](https:\u002F\u002Fgithub.com\u002FLethe044\u002Fhermes-legal) by [Lethe044](https:\u002F\u002Fgithub.com\u002FLethe044) — Contract risk analysis with English and Turkish support. Identifies risky clauses and summarizes legal obligations.\n- **[beta]** [hermes-startup-architect](https:\u002F\u002Fgithub.com\u002Fdlkakbs\u002Fhermes-startup-architect) by [dlkakbs](https:\u002F\u002Fgithub.com\u002Fdlkakbs) — Generates investor-ready kits from startup ideas — market analysis, pitch deck, and financial projections.\n- **[beta]** [mercury](https:\u002F\u002Fgithub.com\u002Fhxsteric\u002Fmercury) by [hxsteric](https:\u002F\u002Fgithub.com\u002Fhxsteric) — Multi-chain blockchain cash flow analyzer with a WebGL dashboard. On-chain forensics and flow visualization.\n- **[experimental]** [hermes-research-agent](https:\u002F\u002Fgithub.com\u002FAum08Desai\u002Fhermes-research-agent) by [Aum08Desai](https:\u002F\u002Fgithub.com\u002FAum08Desai) — Autonomous LLM research agent. Handles literature review, hypothesis generation, and experiment design end-to-end.\n\n\u003Cbr>\n\n## Forks & Derivatives\n\n> Notable forks and derivative projects that take Hermes in new directions.\n\n- **[beta]** [hermes-agent-camel](https:\u002F\u002Fgithub.com\u002Fnativ3ai\u002Fhermes-agent-camel) by [nativ3ai](https:\u002F\u002Fgithub.com\u002Fnativ3ai) — Hermes with CaMeL trust boundaries integrated into the agent loop. For safety-critical deployments requiring formal trust verification.\n- **[experimental]** [orahermes-agent](https:\u002F\u002Fgithub.com\u002Fjasperan\u002Forahermes-agent) by [jasperan](https:\u002F\u002Fgithub.com\u002Fjasperan) — Oracle AI Agent Harness integrating OCI GenAI and Oracle 26ai. An enterprise on-ramp for Oracle environments.\n- **[beta]** [hermes-alpha](https:\u002F\u002Fgithub.com\u002Fkaminocorp\u002Fhermes-alpha) by [kaminocorp](https:\u002F\u002Fgithub.com\u002Fkaminocorp) — Cloud-deployed Hermes with pre-configured infrastructure templates. Skips local setup entirely.\n- **[experimental]** [hermes-skill-distillation](https:\u002F\u002Fgithub.com\u002Fbeardthelion\u002Fhermes-skill-distillation) by [beardthelion](https:\u002F\u002Fgithub.com\u002Fbeardthelion) — Generates agentic training trajectories from real-world tasks for producing fine-tuning data at scale.\n\n\u003Cbr>\n\n## Guides & Documentation\n\n> Tutorials, documentation, and learning resources.\n\n- **[beta]** [hermes-agent-docs](https:\u002F\u002Fgithub.com\u002Fmudrii\u002Fhermes-agent-docs) by [mudrii](https:\u002F\u002Fgithub.com\u002Fmudrii) — Community documentation for Hermes Agent. Covers v0.2.0 in detail — a useful supplement to the official docs for deployment patterns.\n- **[production]** [hermes-wsl-ubuntu](https:\u002F\u002Fgithub.com\u002Fmetantonio\u002Fhermes-wsl-ubuntu) by [metantonio](https:\u002F\u002Fgithub.com\u002Fmetantonio) — Step-by-step WSL2 Ubuntu setup guide for running Hermes on Windows.\n- **[beta]** [HermesWiki](https:\u002F\u002Fgithub.com\u002Fmartymcenroe\u002FHermesWiki) by [martymcenroe](https:\u002F\u002Fgithub.com\u002Fmartymcenroe) — Community-maintained wiki with practical patterns and deployment advice for building autonomous agents with Hermes.\n\n---\n\n## Operational Playbooks\n\n> Workflow patterns that repeatedly help Hermes teams in production.\n\n- **Nightly self-evolution with guardrails** — Run [hermes-agent-self-evolution](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent-self-evolution) on a schedule, then add a second verification cron that scores quality and blocks optimization-loop gaming.\n- **Managing memory pressure** — If you're losing long-term recall or repeating context, review the [Honcho memory docs](https:\u002F\u002Fhermes-agent.nousresearch.com\u002Fdocs\u002Fuser-guide\u002Ffeatures\u002Fhoncho) and evaluate [hindsight](https:\u002F\u002Fgithub.com\u002Fvectorize-io\u002Fhindsight) or self-hosted memory backends.\n- **Configure session timeout and expiry early** — Use the [configuration docs](https:\u002F\u002Fhermes-agent.nousresearch.com\u002Fdocs\u002Fuser-guide\u002Fconfiguration\u002F) to tune session retention for slower-moving threads before you need it.\n- **Side-by-side OpenClaw migration** — Keep both systems running during migration using [openclaw-to-hermes](https:\u002F\u002Fgithub.com\u002F0xNyk\u002Fopenclaw-to-hermes) and native Hermes migration paths. Cut over once cron and routing behavior match.\n- **Treat USER.md and MEMORY.md as infrastructure** — Keep entries concise, durable, and preference-focused rather than raw notes. High signal beats high volume.\n\n---\n\n## Level-Up Blueprints\n\n> Opinionated stacks for getting more from Hermes quickly.\n\n- **Memory that compounds** — Start with Hermes built-in memory. Add [honcho-self-hosted](https:\u002F\u002Fgithub.com\u002Felkimek\u002Fhoncho-self-hosted) for stronger cross-session user modeling, [hindsight](https:\u002F\u002Fgithub.com\u002Fvectorize-io\u002Fhindsight) for retain\u002Frecall\u002Freflect workflows across large histories, and [plur](https:\u002F\u002Fgithub.com\u002Fplur-ai\u002Fplur) for portable shared memory in an open engram format. Pair with [flowstate-qmd](https:\u002F\u002Fgithub.com\u002Famassing3390\u002Fflowstate-qmd) for proactive context pre-loading.\n- **Self-improvement without drift** — Pair [hermes-agent-self-evolution](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent-self-evolution) with scheduled regression checks and [lintlang](https:\u002F\u002Fgithub.com\u002Froli-lpci\u002Flintlang) for prompt and config linting. The goal isn't \"evolve faster\" — it's \"evolve without quietly getting weird.\"\n- **Operator cockpit for real work** — Use [hermes-workspace](https:\u002F\u002Fgithub.com\u002Foutsourc-e\u002Fhermes-workspace) for daily use, [mission-control](https:\u002F\u002Fgithub.com\u002Fbuilderz-labs\u002Fmission-control) for multi-agent fleet visibility and cost tracking, and [hermes-webui](https:\u002F\u002Fgithub.com\u002Fsanchomuzax\u002Fhermes-webui) for a lighter ops surface.\n- **Multi-agent execution layer** — Combine Hermes delegation with [hermes-agent-acp-skill](https:\u002F\u002Fgithub.com\u002FRainhoole\u002Fhermes-agent-acp-skill) for Codex\u002FClaude Code routing, [zouroboros-swarm-executors](https:\u002F\u002Fgithub.com\u002Fmarlandoj\u002Fzouroboros-swarm-executors) for local executor handoff, and [bigiron](https:\u002F\u002Fgithub.com\u002Fsupermodeltools\u002Fbigiron) for specialized agent roles.\n- **Migration and deployment hardening** — Keep [openclaw-to-hermes](https:\u002F\u002Fgithub.com\u002F0xNyk\u002Fopenclaw-to-hermes) in the toolkit even if you prefer the native migration path. For repeatable deploys: [nix-hermes-agent](https:\u002F\u002Fgithub.com\u002F0xrsydn\u002Fnix-hermes-agent), [hermes-agent-docker](https:\u002F\u002Fgithub.com\u002Fxmbshwll\u002Fhermes-agent-docker), or [evey-setup](https:\u002F\u002Fgithub.com\u002F42-evey\u002Fevey-setup) depending on how opinionated you want the stack.\n- **Paperclip-governed ops** — For teams running Hermes inside a governed company workflow, combine [hermes-paperclip-adapter](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-paperclip-adapter) with Hermes cron and one of the operator dashboards. That gives you task governance and operational continuity rather than a clever demo that forgets what it was doing.\n\n---\n\n## Related Lists\n\n- [awesome-openclaw](https:\u002F\u002Fgithub.com\u002FSamurAIGPT\u002Fawesome-openclaw) — Curated resources for OpenClaw (formerly Moltbot \u002F Clawdbot), the predecessor agent that Hermes supports migrating from natively. Skills, plugins, UIs, deployment guides, and the broader OpenClaw ecosystem.\n\n---\n\n## Contributing\n\nBefore submitting, please check that:\n\n1. The resource is directly related to the Hermes Agent ecosystem or the [agentskills.io](https:\u002F\u002Fagentskills.io) standard\n2. It has a clear README and is reasonably maintained\n3. It isn't already listed\n\nPlease read [CONTRIBUTING.md](CONTRIBUTING.md) before submitting.\n\n---\n\n## License\n\n[![MIT](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-MIT-blue.svg)](LICENSE)\n\nThis list is released under the [MIT License](LICENSE).\n\nAll linked projects carry their own license terms.\n","Awesome Hermes Agent 是一个精选的技能、插件、工具、集成和资源列表，专为 Nous Research 开发的自进化 AI 代理 Hermes Agent 设计。该项目核心功能包括通过真实经验生成并改进技能，并从 v0.12.0 版本开始引入了自动管理技能库的 Curator 系统，该系统定期对技能进行评分、合并与清理。Hermes Agent 能够跨会话持续学习用户偏好，并支持多种部署方式（如 VPS、GPU 集群或七种无服务器后端之一）以及 18 种内置消息平台接入。适合于需要高度定制化 AI 助手解决方案的个人开发者或企业使用，在提高工作效率、自动化任务处理等方面展现出强大潜力。",2,"2026-06-11 04:09:40","top_topic"]