[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-270":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"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":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":39,"readmeContent":40,"aiSummary":41,"trendingCount":15,"starSnapshotCount":15,"syncStatus":42,"lastSyncTime":43,"discoverSource":44},270,"ollama","ollama\u002Follama","Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.","https:\u002F\u002Follama.com",null,"Go",174317,16649,983,2431,0,83,620,2698,432,120,"MIT License",false,"main",[25,26,27,28,29,30,31,32,33,34,35,36,37,5,38],"deepseek","gemma","gemma3","glm","go","golang","gpt-oss","llama","llama3","llm","llms","minimax","mistral","qwen","2026-06-17 04:00:02","\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Follama.com\">\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Follama\u002Follama\u002Fassets\u002F3325447\u002F0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7\" alt=\"ollama\" width=\"200\"\u002F>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n# Ollama\n\nStart building with open models.\n\n## Download\n\n### macOS\n\n```shell\ncurl -fsSL https:\u002F\u002Follama.com\u002Finstall.sh | sh\n```\n\nor [download manually](https:\u002F\u002Follama.com\u002Fdownload\u002FOllama.dmg)\n\n### Windows\n\n```shell\nirm https:\u002F\u002Follama.com\u002Finstall.ps1 | iex\n```\n\nor [download manually](https:\u002F\u002Follama.com\u002Fdownload\u002FOllamaSetup.exe)\n\n### Linux\n\n```shell\ncurl -fsSL https:\u002F\u002Follama.com\u002Finstall.sh | sh\n```\n\n[Manual install instructions](https:\u002F\u002Fdocs.ollama.com\u002Flinux#manual-install)\n\n### Docker\n\nThe official [Ollama Docker image](https:\u002F\u002Fhub.docker.com\u002Fr\u002Follama\u002Follama) `ollama\u002Follama` is available on Docker Hub.\n\n### Libraries\n\n- [ollama-python](https:\u002F\u002Fgithub.com\u002Follama\u002Follama-python)\n- [ollama-js](https:\u002F\u002Fgithub.com\u002Follama\u002Follama-js)\n\n### Community\n\n- [Discord](https:\u002F\u002Fdiscord.gg\u002Follama)\n- [𝕏 (Twitter)](https:\u002F\u002Fx.com\u002Follama)\n- [Reddit](https:\u002F\u002Freddit.com\u002Fr\u002Follama)\n\n## Get started\n\n```\nollama\n```\n\nYou'll be prompted to run a model or connect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`,  and more.\n\n### Coding\n\nTo launch a specific integration:\n\n```\nollama launch claude\n```\n\nSupported integrations include [Claude Code](https:\u002F\u002Fdocs.ollama.com\u002Fintegrations\u002Fclaude-code), [Codex](https:\u002F\u002Fdocs.ollama.com\u002Fintegrations\u002Fcodex), [Copilot CLI](https:\u002F\u002Fdocs.ollama.com\u002Fintegrations\u002Fcopilot-cli), [Droid](https:\u002F\u002Fdocs.ollama.com\u002Fintegrations\u002Fdroid), and [OpenCode](https:\u002F\u002Fdocs.ollama.com\u002Fintegrations\u002Fopencode).\n\n### AI assistant\n\nUse [OpenClaw](https:\u002F\u002Fdocs.ollama.com\u002Fintegrations\u002Fopenclaw) to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more:\n\n```\nollama launch openclaw\n```\n\n### Chat with a model\n\nRun and chat with [Gemma 3](https:\u002F\u002Follama.com\u002Flibrary\u002Fgemma3):\n\n```\nollama run gemma3\n```\n\nSee [ollama.com\u002Flibrary](https:\u002F\u002Follama.com\u002Flibrary) for the full list.\n\nSee the [quickstart guide](https:\u002F\u002Fdocs.ollama.com\u002Fquickstart) for more details.\n\n## REST API\n\nOllama has a REST API for running and managing models.\n\n```\ncurl http:\u002F\u002Flocalhost:11434\u002Fapi\u002Fchat -d '{\n  \"model\": \"gemma3\",\n  \"messages\": [{\n    \"role\": \"user\",\n    \"content\": \"Why is the sky blue?\"\n  }],\n  \"stream\": false\n}'\n```\n\nSee the [API documentation](https:\u002F\u002Fdocs.ollama.com\u002Fapi) for all endpoints.\n\n### Python\n\n```\npip install ollama\n```\n\n```python\nfrom ollama import chat\n\nresponse = chat(model='gemma3', messages=[\n  {\n    'role': 'user',\n    'content': 'Why is the sky blue?',\n  },\n])\nprint(response.message.content)\n```\n\n### JavaScript\n\n```\nnpm i ollama\n```\n\n```javascript\nimport ollama from \"ollama\";\n\nconst response = await ollama.chat({\n  model: \"gemma3\",\n  messages: [{ role: \"user\", content: \"Why is the sky blue?\" }],\n});\nconsole.log(response.message.content);\n```\n\n## Supported backends\n\n- [llama.cpp](https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp) project founded by Georgi Gerganov.\n\n## Documentation\n\n- [CLI reference](https:\u002F\u002Fdocs.ollama.com\u002Fcli)\n- [REST API reference](https:\u002F\u002Fdocs.ollama.com\u002Fapi)\n- [Importing models](https:\u002F\u002Fdocs.ollama.com\u002Fimport)\n- [Modelfile reference](https:\u002F\u002Fdocs.ollama.com\u002Fmodelfile)\n- [Building from source](https:\u002F\u002Fgithub.com\u002Follama\u002Follama\u002Fblob\u002Fmain\u002Fdocs\u002Fdevelopment.md)\n\n## Community Integrations\n\n> Want to add your project? Open a pull request.\n\n### Chat Interfaces\n\n#### Web\n\n- [Open WebUI](https:\u002F\u002Fgithub.com\u002Fopen-webui\u002Fopen-webui) - Extensible, self-hosted AI interface\n- [Onyx](https:\u002F\u002Fgithub.com\u002Fonyx-dot-app\u002Fonyx) - Connected AI workspace\n- [LibreChat](https:\u002F\u002Fgithub.com\u002Fdanny-avila\u002FLibreChat) - Enhanced ChatGPT clone with multi-provider support\n- [Lobe Chat](https:\u002F\u002Fgithub.com\u002Flobehub\u002Flobe-chat) - Modern chat framework with plugin ecosystem ([docs](https:\u002F\u002Flobehub.com\u002Fdocs\u002Fself-hosting\u002Fexamples\u002Follama))\n- [NextChat](https:\u002F\u002Fgithub.com\u002FChatGPTNextWeb\u002FChatGPT-Next-Web) - Cross-platform ChatGPT UI ([docs](https:\u002F\u002Fdocs.nextchat.dev\u002Fmodels\u002Follama))\n- [Perplexica](https:\u002F\u002Fgithub.com\u002FItzCrazyKns\u002FPerplexica) - AI-powered search engine, open-source Perplexity alternative\n- [big-AGI](https:\u002F\u002Fgithub.com\u002Fenricoros\u002Fbig-AGI) - AI suite for professionals\n- [Lollms WebUI](https:\u002F\u002Fgithub.com\u002FParisNeo\u002Flollms-webui) - Multi-model web interface\n- [ChatOllama](https:\u002F\u002Fgithub.com\u002Fsugarforever\u002Fchat-ollama) - Chatbot with knowledge bases\n- [Bionic GPT](https:\u002F\u002Fgithub.com\u002Fbionic-gpt\u002Fbionic-gpt) - On-premise AI platform\n- [Chatbot UI](https:\u002F\u002Fgithub.com\u002Fivanfioravanti\u002Fchatbot-ollama) - ChatGPT-style web interface\n- [Hollama](https:\u002F\u002Fgithub.com\u002Ffmaclen\u002Fhollama) - Minimal web interface\n- [Chatbox](https:\u002F\u002Fgithub.com\u002FBin-Huang\u002FChatbox) - Desktop and web AI client\n- [chat](https:\u002F\u002Fgithub.com\u002Fswuecho\u002Fchat) - Chat web app for teams\n- [Ollama RAG Chatbot](https:\u002F\u002Fgithub.com\u002Fdatvodinh\u002Frag-chatbot.git) - Chat with multiple PDFs using RAG\n- [Tkinter-based client](https:\u002F\u002Fgithub.com\u002Fchyok\u002Follama-gui) - Python desktop client\n\n#### Desktop\n\n- [Dify.AI](https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify) - LLM app development platform\n- [AnythingLLM](https:\u002F\u002Fgithub.com\u002FMintplex-Labs\u002Fanything-llm) - All-in-one AI app for Mac, Windows, and Linux\n- [Maid](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid) - Cross-platform mobile and desktop client\n- [Witsy](https:\u002F\u002Fgithub.com\u002Fnbonamy\u002Fwitsy) - AI desktop app for Mac, Windows, and Linux\n- [Cherry Studio](https:\u002F\u002Fgithub.com\u002Fkangfenmao\u002Fcherry-studio) - Multi-provider desktop client\n- [Ollama App](https:\u002F\u002Fgithub.com\u002FJHubi1\u002Follama-app) - Multi-platform client for desktop and mobile\n- [PyGPT](https:\u002F\u002Fgithub.com\u002Fszczyglis-dev\u002Fpy-gpt) - AI desktop assistant for Linux, Windows, and Mac\n- [Alpaca](https:\u002F\u002Fgithub.com\u002FJeffser\u002FAlpaca) - GTK4 client for Linux and macOS\n- [SwiftChat](https:\u002F\u002Fgithub.com\u002Faws-samples\u002Fswift-chat) - Cross-platform including iOS, Android, and Apple Vision Pro\n- [Enchanted](https:\u002F\u002Fgithub.com\u002FAugustDev\u002Fenchanted) - Native macOS and iOS client\n- [RWKV-Runner](https:\u002F\u002Fgithub.com\u002FjosStorer\u002FRWKV-Runner) - Multi-model desktop runner\n- [Ollama Grid Search](https:\u002F\u002Fgithub.com\u002Fdezoito\u002Follama-grid-search) - Evaluate and compare models\n- [macai](https:\u002F\u002Fgithub.com\u002FRenset\u002Fmacai) - macOS client for Ollama and ChatGPT\n- [AI Studio](https:\u002F\u002Fgithub.com\u002FMindWorkAI\u002FAI-Studio) - Multi-provider desktop IDE\n- [Reins](https:\u002F\u002Fgithub.com\u002Fibrahimcetin\u002Freins) - Parameter tuning and reasoning model support\n- [ConfiChat](https:\u002F\u002Fgithub.com\u002F1runeberg\u002Fconfichat) - Privacy-focused with optional encryption\n- [LLocal.in](https:\u002F\u002Fgithub.com\u002Fkartikm7\u002Fllocal) - Electron desktop client\n- [MindMac](https:\u002F\u002Fmindmac.app) - AI chat client for Mac\n- [Msty](https:\u002F\u002Fmsty.app) - Multi-model desktop client\n- [BoltAI for Mac](https:\u002F\u002Fboltai.com) - AI chat client for Mac\n- [IntelliBar](https:\u002F\u002Fintellibar.app\u002F) - AI-powered assistant for macOS\n- [Kerlig AI](https:\u002F\u002Fwww.kerlig.com\u002F) - AI writing assistant for macOS\n- [Hillnote](https:\u002F\u002Fhillnote.com) - Markdown-first AI workspace\n- [Perfect Memory AI](https:\u002F\u002Fwww.perfectmemory.ai\u002F) - Productivity AI personalized by screen and meeting history\n\n#### Mobile\n\n- [Ollama Android Chat](https:\u002F\u002Fgithub.com\u002Fsunshine0523\u002FOllamaServer) - One-click Ollama on Android\n\n> SwiftChat, Enchanted, Maid, Ollama App, Reins, and ConfiChat listed above also support mobile platforms.\n\n### Code Editors & Development\n\n- [Cline](https:\u002F\u002Fgithub.com\u002Fcline\u002Fcline) - VS Code extension for multi-file\u002Fwhole-repo coding\n- [Continue](https:\u002F\u002Fgithub.com\u002Fcontinuedev\u002Fcontinue) - Open-source AI code assistant for any IDE\n- [Void](https:\u002F\u002Fgithub.com\u002Fvoideditor\u002Fvoid) - Open source AI code editor, Cursor alternative\n- [Copilot for Obsidian](https:\u002F\u002Fgithub.com\u002Flogancyang\u002Fobsidian-copilot) - AI assistant for Obsidian\n- [twinny](https:\u002F\u002Fgithub.com\u002Frjmacarthy\u002Ftwinny) - Copilot and Copilot chat alternative\n- [gptel Emacs client](https:\u002F\u002Fgithub.com\u002Fkarthink\u002Fgptel) - LLM client for Emacs\n- [Ollama Copilot](https:\u002F\u002Fgithub.com\u002Fbernardo-bruning\u002Follama-copilot) - Use Ollama as GitHub Copilot\n- [Obsidian Local GPT](https:\u002F\u002Fgithub.com\u002Fpfrankov\u002Fobsidian-local-gpt) - Local AI for Obsidian\n- [Ellama Emacs client](https:\u002F\u002Fgithub.com\u002Fs-kostyaev\u002Fellama) - LLM tool for Emacs\n- [orbiton](https:\u002F\u002Fgithub.com\u002Fxyproto\u002Forbiton) - Config-free text editor with Ollama tab completion\n- [AI ST Completion](https:\u002F\u002Fgithub.com\u002Fyaroslavyaroslav\u002FOpenAI-sublime-text) - Sublime Text 4 AI assistant\n- [VT Code](https:\u002F\u002Fgithub.com\u002Fvinhnx\u002Fvtcode) - Rust-based terminal coding agent with Tree-sitter\n- [QodeAssist](https:\u002F\u002Fgithub.com\u002FPalm1r\u002FQodeAssist) - AI coding assistant for Qt Creator\n- [AI Toolkit for VS Code](https:\u002F\u002Faka.ms\u002Fai-tooklit\u002Follama-docs) - Microsoft-official VS Code extension\n- [Open Interpreter](https:\u002F\u002Fdocs.openinterpreter.com\u002Flanguage-model-setup\u002Flocal-models\u002Follama) - Natural language interface for computers\n\n### Libraries & SDKs\n\n- [LiteLLM](https:\u002F\u002Fgithub.com\u002FBerriAI\u002Flitellm) - Unified API for 100+ LLM providers\n- [Semantic Kernel](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fsemantic-kernel\u002Ftree\u002Fmain\u002Fpython\u002Fsemantic_kernel\u002Fconnectors\u002Fai\u002Follama) - Microsoft AI orchestration SDK\n- [LangChain4j](https:\u002F\u002Fgithub.com\u002Flangchain4j\u002Flangchain4j) - Java LangChain ([example](https:\u002F\u002Fgithub.com\u002Flangchain4j\u002Flangchain4j-examples\u002Ftree\u002Fmain\u002Follama-examples\u002Fsrc\u002Fmain\u002Fjava))\n- [LangChainGo](https:\u002F\u002Fgithub.com\u002Ftmc\u002Flangchaingo\u002F) - Go LangChain ([example](https:\u002F\u002Fgithub.com\u002Ftmc\u002Flangchaingo\u002Ftree\u002Fmain\u002Fexamples\u002Follama-completion-example))\n- [Spring AI](https:\u002F\u002Fgithub.com\u002Fspring-projects\u002Fspring-ai) - Spring framework AI support ([docs](https:\u002F\u002Fdocs.spring.io\u002Fspring-ai\u002Freference\u002Fapi\u002Fchat\u002Follama-chat.html))\n- [LangChain](https:\u002F\u002Fpython.langchain.com\u002Fdocs\u002Fintegrations\u002Fchat\u002Follama\u002F) and [LangChain.js](https:\u002F\u002Fjs.langchain.com\u002Fdocs\u002Fintegrations\u002Fchat\u002Follama\u002F) with [example](https:\u002F\u002Fjs.langchain.com\u002Fdocs\u002Ftutorials\u002Flocal_rag\u002F)\n- [Ollama for Ruby](https:\u002F\u002Fgithub.com\u002Fcrmne\u002Fruby_llm) - Ruby LLM library\n- [any-llm](https:\u002F\u002Fgithub.com\u002Fmozilla-ai\u002Fany-llm) - Unified LLM interface by Mozilla\n- [OllamaSharp for .NET](https:\u002F\u002Fgithub.com\u002Fawaescher\u002FOllamaSharp) - .NET SDK\n- [LangChainRust](https:\u002F\u002Fgithub.com\u002FAbraxas-365\u002Flangchain-rust) - Rust LangChain ([example](https:\u002F\u002Fgithub.com\u002FAbraxas-365\u002Flangchain-rust\u002Fblob\u002Fmain\u002Fexamples\u002Fllm_ollama.rs))\n- [Agents-Flex for Java](https:\u002F\u002Fgithub.com\u002Fagents-flex\u002Fagents-flex) - Java agent framework ([example](https:\u002F\u002Fgithub.com\u002Fagents-flex\u002Fagents-flex\u002Ftree\u002Fmain\u002Fagents-flex-llm\u002Fagents-flex-llm-ollama\u002Fsrc\u002Ftest\u002Fjava\u002Fcom\u002Fagentsflex\u002Fllm\u002Follama))\n- [Elixir LangChain](https:\u002F\u002Fgithub.com\u002Fbrainlid\u002Flangchain) - Elixir LangChain\n- [Ollama-rs for Rust](https:\u002F\u002Fgithub.com\u002Fpepperoni21\u002Follama-rs) - Rust SDK\n- [LangChain for .NET](https:\u002F\u002Fgithub.com\u002FtryAGI\u002FLangChain) - .NET LangChain ([example](https:\u002F\u002Fgithub.com\u002FtryAGI\u002FLangChain\u002Fblob\u002Fmain\u002Fexamples\u002FLangChain.Samples.OpenAI\u002FProgram.cs))\n- [chromem-go](https:\u002F\u002Fgithub.com\u002Fphilippgille\u002Fchromem-go) - Go vector database with Ollama embeddings ([example](https:\u002F\u002Fgithub.com\u002Fphilippgille\u002Fchromem-go\u002Ftree\u002Fv0.5.0\u002Fexamples\u002Frag-wikipedia-ollama))\n- [LangChainDart](https:\u002F\u002Fgithub.com\u002Fdavidmigloz\u002Flangchain_dart) - Dart LangChain\n- [LlmTornado](https:\u002F\u002Fgithub.com\u002Flofcz\u002Fllmtornado) - Unified C# interface for multiple inference APIs\n- [Ollama4j for Java](https:\u002F\u002Fgithub.com\u002Follama4j\u002Follama4j) - Java SDK\n- [Ollama for Laravel](https:\u002F\u002Fgithub.com\u002Fcloudstudio\u002Follama-laravel) - Laravel integration\n- [Ollama for Swift](https:\u002F\u002Fgithub.com\u002Fmattt\u002Follama-swift) - Swift SDK\n- [LlamaIndex](https:\u002F\u002Fdocs.llamaindex.ai\u002Fen\u002Fstable\u002Fexamples\u002Fllm\u002Follama\u002F) and [LlamaIndexTS](https:\u002F\u002Fts.llamaindex.ai\u002Fmodules\u002Fllms\u002Favailable_llms\u002Follama) - Data framework for LLM apps\n- [Haystack](https:\u002F\u002Fgithub.com\u002Fdeepset-ai\u002Fhaystack-integrations\u002Fblob\u002Fmain\u002Fintegrations\u002Follama.md) - AI pipeline framework\n- [Firebase Genkit](https:\u002F\u002Ffirebase.google.com\u002Fdocs\u002Fgenkit\u002Fplugins\u002Follama) - Google AI framework\n- [Ollama-hpp for C++](https:\u002F\u002Fgithub.com\u002Fjmont-dev\u002Follama-hpp) - C++ SDK\n- [PromptingTools.jl](https:\u002F\u002Fgithub.com\u002Fsvilupp\u002FPromptingTools.jl) - Julia LLM toolkit ([example](https:\u002F\u002Fsvilupp.github.io\u002FPromptingTools.jl\u002Fdev\u002Fexamples\u002Fworking_with_ollama))\n- [Ollama for R - rollama](https:\u002F\u002Fgithub.com\u002FJBGruber\u002Frollama) - R SDK\n- [Portkey](https:\u002F\u002Fportkey.ai\u002Fdocs\u002Fwelcome\u002Fintegration-guides\u002Follama) - AI gateway\n- [Testcontainers](https:\u002F\u002Ftestcontainers.com\u002Fmodules\u002Follama\u002F) - Container-based testing\n- [LLPhant](https:\u002F\u002Fgithub.com\u002Ftheodo-group\u002FLLPhant?tab=readme-ov-file#ollama) - PHP AI framework\n\n### Frameworks & Agents\n\n- [AutoGPT](https:\u002F\u002Fgithub.com\u002FSignificant-Gravitas\u002FAutoGPT\u002Fblob\u002Fmaster\u002Fdocs\u002Fcontent\u002Fplatform\u002Follama.md) - Autonomous AI agent platform\n- [crewAI](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI) - Multi-agent orchestration framework\n- [Strands Agents](https:\u002F\u002Fgithub.com\u002Fstrands-agents\u002Fsdk-python) - Model-driven agent building by AWS\n- [Cheshire Cat](https:\u002F\u002Fgithub.com\u002Fcheshire-cat-ai\u002Fcore) - AI assistant framework\n- [any-agent](https:\u002F\u002Fgithub.com\u002Fmozilla-ai\u002Fany-agent) - Unified agent framework interface by Mozilla\n- [Stakpak](https:\u002F\u002Fgithub.com\u002Fstakpak\u002Fagent) - Open source DevOps agent\n- [Hexabot](https:\u002F\u002Fgithub.com\u002Fhexastack\u002Fhexabot) - Conversational AI builder\n- [Neuro SAN](https:\u002F\u002Fgithub.com\u002Fcognizant-ai-lab\u002Fneuro-san-studio) - Multi-agent orchestration ([docs](https:\u002F\u002Fgithub.com\u002Fcognizant-ai-lab\u002Fneuro-san-studio\u002Fblob\u002Fmain\u002Fdocs\u002Fuser_guide.md#ollama))\n\n### RAG & Knowledge Bases\n\n- [RAGFlow](https:\u002F\u002Fgithub.com\u002Finfiniflow\u002Fragflow) - RAG engine based on deep document understanding\n- [R2R](https:\u002F\u002Fgithub.com\u002FSciPhi-AI\u002FR2R) - Open-source RAG engine\n- [MaxKB](https:\u002F\u002Fgithub.com\u002F1Panel-dev\u002FMaxKB\u002F) - Ready-to-use RAG chatbot\n- [Minima](https:\u002F\u002Fgithub.com\u002Fdmayboroda\u002Fminima) - On-premises or fully local RAG\n- [Chipper](https:\u002F\u002Fgithub.com\u002FTilmanGriesel\u002Fchipper) - AI interface with Haystack RAG\n- [ARGO](https:\u002F\u002Fgithub.com\u002Fxark-argo\u002Fargo) - RAG and deep research on Mac\u002FWindows\u002FLinux\n- [Archyve](https:\u002F\u002Fgithub.com\u002Fnickthecook\u002Farchyve) - RAG-enabling document library\n- [Casibase](https:\u002F\u002Fcasibase.org) - AI knowledge base with RAG and SSO\n- [BrainSoup](https:\u002F\u002Fwww.nurgo-software.com\u002Fproducts\u002Fbrainsoup) - Native client with RAG and multi-agent automation\n\n### Bots & Messaging\n\n- [LangBot](https:\u002F\u002Fgithub.com\u002FRockChinQ\u002FLangBot) - Multi-platform messaging bots with agents and RAG\n- [AstrBot](https:\u002F\u002Fgithub.com\u002FSoulter\u002FAstrBot\u002F) - Multi-platform chatbot with RAG and plugins\n- [Discord-Ollama Chat Bot](https:\u002F\u002Fgithub.com\u002Fkevinthedang\u002Fdiscord-ollama) - TypeScript Discord bot\n- [Ollama Telegram Bot](https:\u002F\u002Fgithub.com\u002Fruecat\u002Follama-telegram) - Telegram bot\n- [LLM Telegram Bot](https:\u002F\u002Fgithub.com\u002Finnightwolfsleep\u002Fllm_telegram_bot) - Telegram bot for roleplay\n\n### Terminal & CLI\n\n- [aichat](https:\u002F\u002Fgithub.com\u002Fsigoden\u002Faichat) - All-in-one LLM CLI with Shell Assistant, RAG, and AI tools\n- [oterm](https:\u002F\u002Fgithub.com\u002Fggozad\u002Foterm) - Terminal client for Ollama\n- [gollama](https:\u002F\u002Fgithub.com\u002Fsammcj\u002Fgollama) - Go-based model manager for Ollama\n- [tlm](https:\u002F\u002Fgithub.com\u002Fyusufcanb\u002Ftlm) - Local shell copilot\n- [tenere](https:\u002F\u002Fgithub.com\u002Fpythops\u002Ftenere) - TUI for LLMs\n- [ParLlama](https:\u002F\u002Fgithub.com\u002Fpaulrobello\u002Fparllama) - TUI for Ollama\n- [llm-ollama](https:\u002F\u002Fgithub.com\u002Ftaketwo\u002Fllm-ollama) - Plugin for [Datasette's LLM CLI](https:\u002F\u002Fllm.datasette.io\u002Fen\u002Fstable\u002F)\n- [ShellOracle](https:\u002F\u002Fgithub.com\u002Fdjcopley\u002FShellOracle) - Shell command suggestions\n- [LLM-X](https:\u002F\u002Fgithub.com\u002Fmrdjohnson\u002Fllm-x) - Progressive web app for LLMs\n- [cmdh](https:\u002F\u002Fgithub.com\u002Fpgibler\u002Fcmdh) - Natural language to shell commands\n- [VT](https:\u002F\u002Fgithub.com\u002Fvinhnx\u002Fvt.ai) - Minimal multimodal AI chat app\n\n### Productivity & Apps\n\n- [AppFlowy](https:\u002F\u002Fgithub.com\u002FAppFlowy-IO\u002FAppFlowy) - AI collaborative workspace, self-hostable Notion alternative\n- [Screenpipe](https:\u002F\u002Fgithub.com\u002Fmediar-ai\u002Fscreenpipe) - 24\u002F7 screen and mic recording with AI-powered search\n- [Vibe](https:\u002F\u002Fgithub.com\u002Fthewh1teagle\u002Fvibe) - Transcribe and analyze meetings\n- [Page Assist](https:\u002F\u002Fgithub.com\u002Fn4ze3m\u002Fpage-assist) - Chrome extension for AI-powered browsing\n- [NativeMind](https:\u002F\u002Fgithub.com\u002FNativeMindBrowser\u002FNativeMindExtension) - Private, on-device browser AI assistant\n- [Ollama Fortress](https:\u002F\u002Fgithub.com\u002FParisNeo\u002Follama_proxy_server) - Security proxy for Ollama\n- [1Panel](https:\u002F\u002Fgithub.com\u002F1Panel-dev\u002F1Panel\u002F) - Web-based Linux server management\n- [Writeopia](https:\u002F\u002Fgithub.com\u002FWriteopia\u002FWriteopia) - Text editor with Ollama integration\n- [QA-Pilot](https:\u002F\u002Fgithub.com\u002Freid41\u002FQA-Pilot) - GitHub code repository understanding\n- [Raycast extension](https:\u002F\u002Fgithub.com\u002FMassimilianoPasquini97\u002Fraycast_ollama) - Ollama in Raycast\n- [Painting Droid](https:\u002F\u002Fgithub.com\u002Fmateuszmigas\u002Fpainting-droid) - Painting app with AI integrations\n- [Serene Pub](https:\u002F\u002Fgithub.com\u002Fdoolijb\u002Fserene-pub) - AI roleplaying app\n- [Mayan EDMS](https:\u002F\u002Fgitlab.com\u002Fmayan-edms\u002Fmayan-edms) - Document management with Ollama workflows\n- [TagSpaces](https:\u002F\u002Fwww.tagspaces.org) - File management with [AI tagging](https:\u002F\u002Fdocs.tagspaces.org\u002Fai\u002F)\n\n### Observability & Monitoring\n\n- [Opik](https:\u002F\u002Fwww.comet.com\u002Fdocs\u002Fopik\u002Fcookbook\u002Follama) - Debug, evaluate, and monitor LLM applications\n- [OpenLIT](https:\u002F\u002Fgithub.com\u002Fopenlit\u002Fopenlit) - OpenTelemetry-native monitoring for Ollama and GPUs\n- [Lunary](https:\u002F\u002Flunary.ai\u002Fdocs\u002Fintegrations\u002Follama) - LLM observability with analytics and PII masking\n- [Langfuse](https:\u002F\u002Flangfuse.com\u002Fdocs\u002Fintegrations\u002Follama) - Open source LLM observability\n- [HoneyHive](https:\u002F\u002Fdocs.honeyhive.ai\u002Fintegrations\u002Follama) - AI observability and evaluation for agents\n- [MLflow Tracing](https:\u002F\u002Fmlflow.org\u002Fdocs\u002Flatest\u002Fllms\u002Ftracing\u002Findex.html#automatic-tracing) - Open source LLM observability\n\n### Database & Embeddings\n\n- [pgai](https:\u002F\u002Fgithub.com\u002Ftimescale\u002Fpgai) - PostgreSQL as a vector database ([guide](https:\u002F\u002Fgithub.com\u002Ftimescale\u002Fpgai\u002Fblob\u002Fmain\u002Fdocs\u002Fvectorizer-quick-start.md))\n- [MindsDB](https:\u002F\u002Fgithub.com\u002Fmindsdb\u002Fmindsdb\u002Fblob\u002Fstaging\u002Fmindsdb\u002Fintegrations\u002Fhandlers\u002Follama_handler\u002FREADME.md) - Connect Ollama with 200+ data platforms\n- [chromem-go](https:\u002F\u002Fgithub.com\u002Fphilippgille\u002Fchromem-go\u002Fblob\u002Fv0.5.0\u002Fembed_ollama.go) - Embeddable vector database for Go ([example](https:\u002F\u002Fgithub.com\u002Fphilippgille\u002Fchromem-go\u002Ftree\u002Fv0.5.0\u002Fexamples\u002Frag-wikipedia-ollama))\n- [Kangaroo](https:\u002F\u002Fgithub.com\u002Fdbkangaroo\u002Fkangaroo) - AI-powered SQL client\n\n### Infrastructure & Deployment\n\n#### Cloud\n\n- [Google Cloud](https:\u002F\u002Fcloud.google.com\u002Frun\u002Fdocs\u002Ftutorials\u002Fgpu-gemma2-with-ollama)\n- [Fly.io](https:\u002F\u002Ffly.io\u002Fdocs\u002Fpython\u002Fdo-more\u002Fadd-ollama\u002F)\n- [Koyeb](https:\u002F\u002Fwww.koyeb.com\u002Fdeploy\u002Follama)\n- [Harbor](https:\u002F\u002Fgithub.com\u002Fav\u002Fharbor) - Containerized LLM toolkit with Ollama as default backend\n\n#### Package Managers\n\n- [Pacman](https:\u002F\u002Farchlinux.org\u002Fpackages\u002Fextra\u002Fx86_64\u002Follama\u002F)\n- [Homebrew](https:\u002F\u002Fformulae.brew.sh\u002Fformula\u002Follama)\n- [Nix package](https:\u002F\u002Fsearch.nixos.org\u002Fpackages?show=ollama&from=0&size=50&sort=relevance&type=packages&query=ollama)\n- [Helm Chart](https:\u002F\u002Fartifacthub.io\u002Fpackages\u002Fhelm\u002Follama-helm\u002Follama)\n- [Gentoo](https:\u002F\u002Fgithub.com\u002Fgentoo\u002Fguru\u002Ftree\u002Fmaster\u002Fapp-misc\u002Follama)\n- [Flox](https:\u002F\u002Fflox.dev\u002Fblog\u002Follama-part-one)\n- [Guix channel](https:\u002F\u002Fcodeberg.org\u002Ftusharhero\u002Follama-guix)\n","Ollama 是一个用于快速启动和运行多种开源大模型（如 Kimi-K2.5、GLM-5、MiniMax、DeepSeek、gpt-oss、Qwen、Gemma 等）的工具。它支持通过命令行、Docker 或编程语言库（Python 和 JavaScript）来部署和使用这些模型，并提供了一个 REST API 以便于集成到其他应用中。其主要技术特点包括多平台支持（macOS、Windows、Linux）、丰富的模型库以及便捷的安装与使用方式。Ollama 适用于需要将 AI 模型快速应用于开发、测试或生产环境中的开发者，也适合希望创建个人 AI 助手或聊天机器人的用户。",2,"2026-06-17 02:32:48","top_all"]