[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-72088":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":34,"readmeContent":35,"aiSummary":36,"trendingCount":16,"starSnapshotCount":16,"syncStatus":37,"lastSyncTime":38,"discoverSource":39},72088,"Bindu","GetBindu\u002FBindu","GetBindu","Bindu: The identity, communication, and payments layer for AI agents.","https:\u002F\u002Fdocs.getbindu.com",null,"Python",6932,392,10,24,0,121,146,341,363,38.78,"Other",false,"main",true,[27,28,29,30,31,32,33],"a2a","agent-communication","agent-orchestration","ai-agent","autonomous-agents","eu-ai-act","machine-learning","2026-06-12 02:02:58","\u003Cp align=\"center\">\n  \u003Cimg src=\".\u002Fassets\u002Fbindu_logo.png\" alt=\"Bindu\" width=\"120\" \u002F>\n\u003C\u002Fp>\n\n\u003Ch1 align=\"center\">Bindu\u003C\u002Fh1>\n\n\u003Cp align=\"center\">\n    \u003Ca href=\"https:\u002F\u002Fwww.python.org\u002Fdownloads\u002F\">\u003Cimg alt=\"Python Version\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fpython-3.12+-blue.svg\">\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fpypi.org\u002Fproject\u002Fbindu\u002F\">\u003Cimg alt=\"PyPI version\" src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fbindu.svg\">\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fcoveralls.io\u002Fgithub\u002FSaptha-me\u002FBindu?branch=v0.3.18\">\u003Cimg alt=\"Coverage\" src=\"https:\u002F\u002Fcoveralls.io\u002Frepos\u002Fgithub\u002FSaptha-me\u002FBindu\u002Fbadge.svg?branch=v0.3.18\">\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgetbindu\u002FBindu\u002Factions\u002Fworkflows\u002Frelease.yml\">\u003Cimg alt=\"Tests\" src=\"https:\u002F\u002Fgithub.com\u002Fgetbindu\u002FBindu\u002Factions\u002Fworkflows\u002Frelease.yml\u002Fbadge.svg\">\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fdiscord.gg\u002F3w5zuYUuwt\">\u003Cimg alt=\"Discord\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDiscord-7289DA?logo=discord&logoColor=white\">\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgetbindu\u002FBindu\u002Fgraphs\u002Fcontributors\">\u003Cimg alt=\"Contributors\" src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fcontributors\u002Fgetbindu\u002FBindu\">\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fhits.sh\u002Fgithub.com\u002FSaptha-me\u002FBindu.svg\">\u003Cimg alt=\"Hits\" src=\"https:\u002F\u002Fhits.sh\u002Fgithub.com\u002FSaptha-me\u002FBindu.svg\">\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Ch4 align=\"center\">\n    \u003Cp>\n        \u003Cb>English\u003C\u002Fb> |\n        \u003Ca href=\"i18n\u002FREADME.de.md\">Deutsch\u003C\u002Fa> |\n        \u003Ca href=\"i18n\u002FREADME.es.md\">Español\u003C\u002Fa> |\n        \u003Ca href=\"i18n\u002FREADME.fr.md\">Français\u003C\u002Fa> |\n        \u003Ca href=\"i18n\u002FREADME.hi.md\">हिंदी\u003C\u002Fa> |\n        \u003Ca href=\"i18n\u002FREADME.bn.md\">বাংলা\u003C\u002Fa> |\n        \u003Ca href=\"i18n\u002FREADME.zh.md\">中文\u003C\u002Fa> |\n        \u003Ca href=\"i18n\u002FREADME.nl.md\">Nederlands\u003C\u002Fa> |\n        \u003Ca href=\"i18n\u002FREADME.ta.md\">தமிழ்\u003C\u002Fa>\n    \u003C\u002Fp>\n\u003C\u002Fh4>\n\n\u003Ch3 align=\"center\">The identity, communication, and payments layer for AI agents.\u003C\u002Fh3>\n\n\u003Cbr\u002F>\n\n\u003Cp align=\"center\">\n  \u003Cem>A Gmail-shaped inbox for the agent internet. Watch your agents send signed JSON-RPC to each other, verify identities inline, and reply to a swarm like it's a thread.\u003C\u002Fem>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"inbox\u002FREADME.md\">\u003Cimg src=\".\u002Fassets\u002Finbox.png\" alt=\"Bindu inbox — agents talking to agents, signatures verified inline\" width=\"880\" \u002F>\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"inbox\u002FREADME.md\">\u003Cstrong>→ Open the inbox walkthrough\u003C\u002Fstrong>\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cbr\u002F>\n\nHere's the situation. You built an agent. It works. But to actually let it loose — talk to other agents, prove who it is, take money for the work — you'd be on the hook for a lot of boring plumbing. A DID library to integrate. An OAuth flow to set up. Payment middleware. An HTTP layer that follows whatever protocol the rest of the agent world is using.\n\nBindu is all of that plumbing, behind one function call. You wrap your handler with `bindufy()`, and a few seconds later your agent is online with its own cryptographic identity, speaking [A2A](https:\u002F\u002Fgithub.com\u002Fa2aproject\u002FA2A) (the protocol other agents already use), and ready to demand USDC on any EVM chain before it does any work ([x402](https:\u002F\u002Fgithub.com\u002Fcoinbase\u002Fx402)). Your handler stays as small as `(messages) -> response`. The framework inside the handler — Agno, LangChain, CrewAI, your own thing — Bindu doesn't care.\n\nThere are SDKs for Python, TypeScript, and Kotlin, and they all share the same gRPC core. The language is a choice; the protocol and identity are the same either way. When you're ready to go deeper, the [docs](https:\u002F\u002Fdocs.getbindu.com) are the next stop.\n\n## Installation\n\nYou'll need Python 3.12+ and [uv](https:\u002F\u002Fgithub.com\u002Fastral-sh\u002Fuv).\n\n```bash\nuv add bindu\n```\n\nIf you're hacking on Bindu itself rather than using it:\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002Fgetbindu\u002FBindu.git\ncd Bindu\nuv sync --dev\n```\n\nTo run the examples you'll need an API key for at least one LLM provider — `OPENROUTER_API_KEY`, `OPENAI_API_KEY`, or `MINIMAX_API_KEY`.\n\n\u003Cbr\u002F>\n\n## Quickstart\n\nBuild the agent you want, hand it to `bindufy()`, and it's online. The block below is the whole thing — copy it into a file, set your `OPENAI_API_KEY`, run it.\n\n```python\nimport os\nfrom bindu.penguin.bindufy import bindufy\nfrom agno.agent import Agent\nfrom agno.models.openai import OpenAIChat\nfrom agno.tools.duckduckgo import DuckDuckGoTools\n\nagent = Agent(\n    instructions=\"You are a research assistant.\",\n    model=OpenAIChat(id=\"gpt-4o\"),\n    tools=[DuckDuckGoTools()],\n)\n\nconfig = {\n    \"author\": \"you@example.com\",\n    \"name\": \"research_agent\",\n    \"description\": \"Research assistant with web search.\",\n    \"deployment\": {\"url\": \"http:\u002F\u002Flocalhost:3773\", \"expose\": True},\n    \"skills\": [\"skills\u002Fquestion-answering\"],\n}\n\ndef handler(messages: list[dict[str, str]]):\n    return agent.run(input=messages)\n\nbindufy(config, handler)\n```\n\nThe agent is now live at `http:\u002F\u002Flocalhost:3773`. `expose: True` opens an FRP tunnel so the rest of the internet can hit it without you setting up port forwarding.\n\n\u003Cdetails>\n\u003Csummary>TypeScript equivalent\u003C\u002Fsummary>\n\n```typescript\nimport { bindufy } from \"@bindu\u002Fsdk\";\nimport OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\nbindufy({\n  author: \"you@example.com\",\n  name: \"research_agent\",\n  description: \"Research assistant.\",\n  deployment: { url: \"http:\u002F\u002Flocalhost:3773\", expose: true },\n  skills: [\"skills\u002Fquestion-answering\"],\n}, async (messages) => {\n  const response = await openai.chat.completions.create({\n    model: \"gpt-4o\",\n    messages: messages.map(m => ({ role: m.role as \"user\" | \"assistant\" | \"system\", content: m.content })),\n  });\n  return response.choices[0].message.content || \"\";\n});\n```\n\nThe TypeScript SDK spawns the Python core in the background — you won't see it, and you don't need any Python in your own codebase. Same protocol, same DID. Full example in [`examples\u002Ftypescript-openai-agent\u002F`](examples\u002Ftypescript-openai-agent\u002F).\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>Calling the agent with curl\u003C\u002Fsummary>\n\n```bash\ncurl -X POST http:\u002F\u002Flocalhost:3773\u002F \\\n  -H 'Content-Type: application\u002Fjson' \\\n  -d '{\n    \"jsonrpc\": \"2.0\",\n    \"method\": \"message\u002Fsend\",\n    \"id\": \"\u003Cuuid>\",\n    \"params\": {\n      \"message\": {\n        \"role\": \"user\",\n        \"kind\": \"message\",\n        \"parts\": [{\"kind\": \"text\", \"text\": \"Hello\"}],\n        \"messageId\": \"\u003Cuuid>\",\n        \"contextId\": \"\u003Cuuid>\",\n        \"taskId\": \"\u003Cuuid>\"\n      }\n    }\n  }'\n```\n\nThen poll `tasks\u002Fget` with the same `taskId` until state hits `completed`.\n\n\u003C\u002Fdetails>\n\n\u003Cbr\u002F>\n\n## Features\n\nEvery row here links out to the guide that actually goes into it.\n\n| Feature | What it does | Docs |\n|---|---|---|\n| **A2A JSON-RPC** | The protocol other agents already speak. `message\u002Fsend`, `tasks\u002Fget`, `message\u002Fstream` on port 3773. | — |\n| **DID identity** | Every response your agent sends is signed with an Ed25519 key. Callers verify with a W3C DID — there's no shared secret to leak. | [DID.md](docs\u002FDID.md) |\n| **OAuth2 via Hydra** | Scoped tokens (`agent:read`, `agent:write`, `agent:execute`) instead of one bearer that opens every door. | [AUTHENTICATION.md](docs\u002FAUTHENTICATION.md) |\n| **x402 payments** | Flip a flag and the agent demands USDC before your handler ever sees the request. **5 chains pre-configured** — Base, Base Sepolia, Ethereum, Ethereum Sepolia, SKALE Europa — and any other EVM chain (Polygon, Avalanche, Arbitrum, …) takes one `extra_networks` entry. | [PAYMENT.md](docs\u002FPAYMENT.md) |\n| **Push notifications** | The agent webhooks you when a task changes state. Stop polling. | [NOTIFICATIONS.md](docs\u002FNOTIFICATIONS.md) |\n| **Skills system** | Declare what your agent can do; callers see it on the agent card before they spend a token asking. | [SKILLS.md](docs\u002FSKILLS.md) |\n| **Private skills** | Keep your commercial skill descriptions out of the public catalog. Public crawlers see a generic \"we do X\" — allowlisted partner DIDs see your real menu at a second auth-gated endpoint. Useful when your skill descriptions ARE your product roadmap. | [PRIVATE_SKILLS.md](docs\u002FPRIVATE_SKILLS.md) |\n| **Agent negotiation** | Two agents agree on price, latency, and SLA up front. No surprise bills. | [NEGOTIATION.md](docs\u002FNEGOTIATION.md) |\n| **Storage** | Postgres for tasks and messages. Swap the backend if you've got a preference. | [STORAGE.md](docs\u002FSTORAGE.md) |\n| **Scheduler** | Redis-backed retries, timeouts, and recurring tasks. | [SCHEDULER.md](docs\u002FSCHEDULER.md) |\n| **Public tunnel** | `expose: true` puts your laptop on the internet. No port forwarding, no router config. | [TUNNELING.md](docs\u002FTUNNELING.md) |\n| **Polyglot SDKs** | Python, TypeScript, Kotlin — same gRPC core underneath, same DID, same auth. | [GRPC_LANGUAGE_AGNOSTIC.md](docs\u002FGRPC_LANGUAGE_AGNOSTIC.md) |\n| **Cloud deploy** | `bindu deploy agent.py --runtime=boxd` ships your script to a microVM and prints the HTTPS URL. No Dockerfile. | [runtime\u002Fquickstart.md](docs\u002Fruntime\u002Fquickstart.md) |\n| **Gateway** | A planner LLM that orchestrates a fleet of agents over A2A and streams the result back. | [GATEWAY.md](docs\u002FGATEWAY.md) |\n| **Observability** | OpenTelemetry traces, Sentry errors, a health endpoint. The boring stuff that saves you at 2am. | [OBSERVABILITY.md](docs\u002FOBSERVABILITY.md) |\n\n\u003Cbr\u002F>\n\n## Demo\n\n\u003Cdiv align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=qppafMuw_KI\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.youtube.com\u002Fvi\u002FqppafMuw_KI\u002Fmaxresdefault.jpg\" alt=\"Bindu demo video\" width=\"640\" \u002F>\n  \u003C\u002Fa>\n\u003C\u002Fdiv>\n\nThe operator inbox at the top of this page is in [`inbox\u002F`](inbox\u002FREADME.md) — same auth, same DID signing, just visible. Run it with `cd inbox && npm run dev`.\n\n\u003Cbr\u002F>\n\n## Examples\n\nA handful from [`examples\u002F`](examples\u002F):\n\n| Example | What it shows |\n|---|---|\n| [Agent Swarm](examples\u002Fagent_swarm\u002F) | A small society of Agno agents passing work to each other. |\n| [Premium Advisor](examples\u002Fpremium-advisor\u002F) | x402 in practice — the caller has to pay USDC before anything runs. |\n| [Hermes via Bindu](examples\u002Fhermes_agent\u002F) | Nous Research's Hermes agent, bindufied in ~90 lines. |\n| [Gateway Test Fleet](examples\u002Fgateway_test_fleet\u002F) | Five agents and one gateway — the multi-agent story end to end. |\n| [TypeScript OpenAI Agent](examples\u002Ftypescript-openai-agent\u002F) | A TS-only agent with zero Python in your repo. |\n\nThere are 20+ more covering CSV analysis, PDF Q&A, speech-to-text, web scraping, multi-lingual collaboration, blog writing, and so on. Browse them in [`examples\u002F`](examples\u002F).\n\n\u003Cbr\u002F>\n\n## Why we built Bindu\n\nWe're using Bindu in production to build the **Trade Compliance OS** — a swarm of agents that handles CBAM, EUDR, HS codes, and Digital Product Passports, so an SMB can ship coffee, textiles, or steel across borders without writing a six-figure check to a law firm. Every agent in that swarm is bindufied. The protocol, the identity, the payment rails — that's all the stuff we needed Bindu to solve in the first place.\n\nIf you've built an agent that touches any of this — customs paperwork, supplier audits, materials sourcing, regulatory filings, anything in the neighborhood — we'd love to have it in the network. [Come find us on Discord](https:\u002F\u002Fdiscord.gg\u002F3w5zuYUuwt) and let's talk.\n\n\u003Cbr\u002F>\n\n## Supported frameworks\n\nBring whatever you already like writing agents in. Bindu doesn't care what's inside the handler.\n\n| Language | Frameworks tested in this repo |\n|---|---|\n| **Python** | [AG2](https:\u002F\u002Fgithub.com\u002Fag2ai\u002Fag2), [Agno](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno), [CrewAI](https:\u002F\u002Fgithub.com\u002Fjoaomdmoura\u002FcrewAI), [Hermes Agent](https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent), [LangChain](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flangchain), [LangGraph](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flanggraph), [Notte](https:\u002F\u002Fgithub.com\u002Fnottelabs\u002Fnotte) |\n| **TypeScript** | [OpenAI SDK](https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-node), [LangChain.js](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flangchainjs) |\n| **Kotlin** | [OpenAI Kotlin SDK](https:\u002F\u002Fgithub.com\u002Faallam\u002Fopenai-kotlin) |\n| **Any other** | via the [gRPC core](docs\u002Fgrpc\u002F) — a new SDK is usually a few hundred lines |\n\nIf your model provider speaks the OpenAI or Anthropic API, it works — [OpenRouter](https:\u002F\u002Fopenrouter.ai\u002F), [OpenAI](https:\u002F\u002Fplatform.openai.com\u002F), [MiniMax](https:\u002F\u002Fplatform.minimaxi.com), and the rest.\n\n\u003Cbr\u002F>\n\n## Documentation\n\n- [Full docs site](https:\u002F\u002Fdocs.getbindu.com)\n- [Calling a secured agent](docs\u002FAUTH.md) — the shortest path: the two things you do when auth is on (token + DID signature), in one page\n- [Auth — long form](docs\u002FAUTHENTICATION.md) and [DID signing — long form](docs\u002FDID.md) — when the short version isn't enough\n- [Cloud deployment](docs\u002Fruntime\u002Fquickstart.md) — `bindu deploy` walkthrough\n- [Gateway](docs\u002FGATEWAY.md) — multi-agent orchestration\n- [Private skills](docs\u002FPRIVATE_SKILLS.md) — hide your commercial menu from the public catalog; show it only to allowlisted partner DIDs\n- [gRPC architecture](docs\u002Fgrpc\u002F) — for anyone building a new language SDK\n- [Known issues](bugs\u002Fknown-issues.md) — read this before you push to production\n- [Troubleshooting](docs\u002FAUTHENTICATION.md#troubleshooting) — the errors you'll hit, and how to get past them\n\n\u003Cbr\u002F>\n\n## Testing\n\n```bash\nuv run pytest tests\u002Funit\u002F -v                                    # fast unit tests\nuv run pytest tests\u002Fintegration\u002Fgrpc\u002F -v -m e2e                 # gRPC E2E\nuv run pytest -n auto --cov=bindu --cov-report=term-missing     # full suite\n```\n\n\u003Cbr\u002F>\n\n## Contributing\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002Fgetbindu\u002FBindu.git\ncd Bindu\nuv venv --python 3.12.9 && source .venv\u002Fbin\u002Factivate\nuv sync --dev\npre-commit run --all-files\n```\n\nThe full guide is in [`.github\u002Fcontributing.md`](.github\u002Fcontributing.md). Most of the day-to-day back-and-forth happens on [Discord](https:\u002F\u002Fdiscord.gg\u002F3w5zuYUuwt) — come say hi.\n\n\u003Cbr\u002F>\n\n## Maintainers\n\n\u003Ctable>\n  \u003Ctr>\n    \u003Ctd align=\"center\">\n      \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fraahulrahl\">\n        \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fraahulrahl.png?size=120\" width=\"100\" alt=\"Raahul Dutta\" \u002F>\u003Cbr \u002F>\n        \u003Csub>\u003Cb>Raahul Dutta\u003C\u002Fb>\u003C\u002Fsub>\n      \u003C\u002Fa>\n    \u003C\u002Ftd>\n    \u003Ctd align=\"center\">\n      \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FParaschamoli\">\n        \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002FParaschamoli.png?size=120\" width=\"100\" alt=\"Paras Chamoli\" \u002F>\u003Cbr \u002F>\n        \u003Csub>\u003Cb>Paras Chamoli\u003C\u002Fb>\u003C\u002Fsub>\n      \u003C\u002Fa>\n    \u003C\u002Ftd>\n    \u003Ctd align=\"center\">\n      \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fchandan-1427\">\n        \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fchandan-1427.png?size=120\" width=\"100\" alt=\"Chandan\" \u002F>\u003Cbr \u002F>\n        \u003Csub>\u003Cb>Chandan\u003C\u002Fb>\u003C\u002Fsub>\n      \u003C\u002Fa>\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n\u003C\u002Ftable>\n\n\u003Cbr\u002F>\n\n## Acknowledgements\n\nBindu stands on the shoulders of a lot of good open source:\n\n[FastA2A](https:\u002F\u002Fgithub.com\u002Fpydantic\u002Ffasta2a) · [A2A](https:\u002F\u002Fgithub.com\u002Fa2aproject\u002FA2A) · [x402](https:\u002F\u002Fgithub.com\u002Fcoinbase\u002Fx402) · [Hugging Face chat-ui](https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Fchat-ui) · [12 Factor Agents](https:\u002F\u002Fgithub.com\u002Fhumanlayer\u002F12-factor-agents) · [OpenCode](https:\u002F\u002Fgithub.com\u002Fanomalyco\u002Fopencode) · [OpenMoji](https:\u002F\u002Fopenmoji.org\u002F) · [ASCII Space Art](https:\u002F\u002Fwww.asciiart.eu\u002Fspace\u002Fother)\n\n\u003Cbr\u002F>\n\n## Star history\n\n\u003Ca href=\"https:\u002F\u002Fstar-history.com\u002F#getbindu\u002FBindu&Date\">\n  \u003Cimg src=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=getbindu\u002FBindu&type=Date\" alt=\"Star history\">\n\u003C\u002Fa>\n\n\u003Cbr\u002F>\n\n## License\n\nApache 2.0. See [LICENSE.md](LICENSE.md).\n\n\u003Cp align=\"center\">\n  \u003Cem>\"We believe in the sunflower theory — standing tall together, bringing hope and light to the Internet of Agents.\"\u003C\u002Fem>\n\u003C\u002Fp>\n","Bindu是一个将任何AI代理转换为可互操作、可观察和可组合的微服务的项目。其核心功能包括提供一个统一的接口，使得AI代理能够轻松地与其他代理进行通信，并且支持身份验证和支付处理。技术上，Bindu利用Python语言实现，通过简单的函数调用`bindufy()`即可让AI代理获得加密身份、遵循A2A协议以及在EVM链上要求USDC支付的能力。该项目适用于需要构建或扩展多代理系统以增强协作效率的应用场景，如智能客服、自动化流程管理等。",2,"2026-06-11 03:40:18","high_star"]