エイカク
451ad685ae
* feat: integrate DeerFlow agent runner and improve stream handling * refactor: split DeerFlow stream flow and close stale client on reset * fix: enforce max_step and correct timeout type check * fix: harden DeerFlow config parsing and session lifecycle * fix: preserve third-party runner error semantics and harden image parsing * perf: bound DeerFlow values history and seen-id cache * refactor: improve deerflow stream semantics and client lifecycle * fix: harden third-party runner error semantics and fallback aggregation * refactor: reduce deerflow image log noise and lazy-init api session * perf: avoid unnecessary iterable copies in deerflow stream utils * refactor: centralize runner error key and clarify deerflow client lifecycle * refactor: simplify third-party runner output flow * fix: defer streaming runner cleanup and unify error mapping * fix: handle id-less values messages and redact stream payload logs * fix: improve deerflow error signaling and third-party runner flow * fix: support deerflow proxy and refine runner lifecycle * fix: tighten deerflow image validation and runner lifecycle * feat: support deerflow image output components * fix: harden runner stream cleanup and refactor deerflow config * fix: preserve deerflow done hook and simplify runner lifecycle * refactor: simplify third-party runner aggregation and lifecycle closing * fix: preserve first deerflow values payload and simplify runner flow * refactor: unify runner final resolution and harden deerflow close state * refactor: share int coercion and make deerflow close best effort * refactor: extract deerflow mappers and streamline third-party lifecycle * refactor: simplify third-party flow and harden sse flush parsing * fix: make deerflow runner close path best effort * refactor: simplify third-party orchestration and centralize deerflow keys * refactor: simplify third-party chunk flow and deerflow finalization * fix: harden deerflow stream parsing and simplify runner lifecycle * refactor: remove redundant deerflow values text assignment * fix: improve deerflow timeout diagnostics and image input feedback * refactor: flatten third-party runner lifecycle and aggregation * chore: use deerflow official remote svg icon * chore: remove unused deerflow local logo asset
AstrBot is an open-source all-in-one Agent chatbot platform that integrates with mainstream instant messaging apps. It provides reliable and scalable conversational AI infrastructure for individuals, developers, and teams. Whether you're building a personal AI companion, intelligent customer service, automation assistant, or enterprise knowledge base, AstrBot enables you to quickly build production-ready AI applications within your IM platform workflows.
Key Features
- 💯 Free & Open Source.
- ✨ AI LLM Conversations, Multimodal, Agent, MCP, Skills, Knowledge Base, Persona Settings, Auto Context Compression.
- 🤖 Supports integration with Dify, Alibaba Cloud Bailian, Coze, and other agent platforms.
- 🌐 Multi-Platform: QQ, WeChat Work, Feishu, DingTalk, WeChat Official Accounts, Telegram, Slack, and more.
- 📦 Plugin Extensions with 1000+ plugins available for one-click installation.
- 🛡️ Agent Sandbox for isolated, safe execution of code, shell calls, and session-level resource reuse.
- 💻 WebUI Support.
- 🌈 Web ChatUI Support with built-in agent sandbox and web search.
- 🌐 Internationalization (i18n) Support.
| 💙 Role-playing & Emotional Companionship | ✨ Proactive Agent | 🚀 General Agentic Capabilities | 🧩 1000+ Community Plugins |
|---|---|---|---|
Quick Start
One-Click Deployment
For users who want to quickly experience AstrBot, we recommend using the one-click deployment method with uv ⚡️:
uv tool install astrbot
astrbot init # Only execute this command for the first time to initialize the environment
astrbot
Requires uv to be installed.
Docker Deployment
For users who want a more stable and production-ready deployment, we recommend using Docker / Docker Compose to deploy AstrBot.
Please refer to the official documentation: Deploy AstrBot with Docker.
Deploy on RainYun
For users who want to deploy AstrBot with one-click and don't want to manage the server, we recommend using RainYun's one-click cloud deployment service ☁️:
Desktop Application (Tauri)
For users who want to deploy AstrBot on their desktop, primarily using AstrBot ChatUI, rarely use AstrBot plugins, we recommend using the AstrBot App:
Desktop repository: AstrBot-desktop.
Supports multiple system architectures, direct package installation, and out-of-the-box usage. A convenient one-click desktop deployment option for beginners.
One-Click Launcher Deployment (AstrBot Launcher)
For users who want a quick deployment and multi-instance solution with environment isolation, we recommend using the AstrBot Launcher:
Visit the AstrBot Launcher repository and install the package for your OS from the latest release.
A quick deployment and multi-instance solution with environment isolation.
Deploy on Replit
Community-contributed deployment method.
AUR
yay -S astrbot-git
More deployment methods: BT-Panel Deployment | 1Panel Deployment | CasaOS Deployment | Manual Deployment
Supported Messaging Platforms
Connect AstrBot to your favorite chat platform.
| Platform | Maintainer |
|---|---|
| Official | |
| OneBot v11 protocol implementation | Official |
| Telegram | Official |
| Wecom & Wecom AI Bot | Official |
| WeChat Official Accounts | Official |
| Feishu (Lark) | Official |
| DingTalk | Official |
| Slack | Official |
| Discord | Official |
| LINE | Official |
| Satori | Official |
| Misskey | Official |
| WhatsApp (Coming Soon) | Official |
| Matrix | Community |
| KOOK | Community |
| VoceChat | Community |
Supported Model Services
| Service | Type |
|---|---|
| OpenAI and Compatible Services | LLM Services |
| Anthropic | LLM Services |
| Google Gemini | LLM Services |
| Moonshot AI | LLM Services |
| Zhipu AI | LLM Services |
| DeepSeek | LLM Services |
| Ollama (Self-hosted) | LLM Services |
| LM Studio (Self-hosted) | LLM Services |
| AIHubMix | LLM Services (API Gateway, supports all models) |
| CompShare | LLM Services |
| 302.AI | LLM Services |
| TokenPony | LLM Services |
| SiliconFlow | LLM Services |
| PPIO Cloud | LLM Services |
| ModelScope | LLM Services |
| OneAPI | LLM Services |
| Dify | LLMOps Platforms |
| Alibaba Cloud Bailian Applications | LLMOps Platforms |
| Coze | LLMOps Platforms |
| OpenAI Whisper | Speech-to-Text Services |
| SenseVoice | Speech-to-Text Services |
| OpenAI TTS | Text-to-Speech Services |
| Gemini TTS | Text-to-Speech Services |
| GPT-Sovits-Inference | Text-to-Speech Services |
| GPT-Sovits | Text-to-Speech Services |
| FishAudio | Text-to-Speech Services |
| Edge TTS | Text-to-Speech Services |
| Alibaba Cloud Bailian TTS | Text-to-Speech Services |
| Azure TTS | Text-to-Speech Services |
| Minimax TTS | Text-to-Speech Services |
| Volcano Engine TTS | Text-to-Speech Services |
❤️ Contributing
Issues and Pull Requests are always welcome! Feel free to submit your changes to this project :)
How to Contribute
You can contribute by reviewing issues or helping with pull request reviews. Any issues or PRs are welcome to encourage community participation. Of course, these are just suggestions—you can contribute in any way you like. For adding new features, please discuss through an Issue first.
Development Environment
AstrBot uses ruff for code formatting and linting.
git clone https://github.com/AstrBotDevs/AstrBot
pip install pre-commit
pre-commit install
🌍 Community
QQ Groups
- Group 1: 322154837
- Group 3: 630166526
- Group 5: 822130018
- Group 6: 753075035
- Group 7: 743746109
- Group 8: 1030353265
- Developer Group: 975206796
Discord Server
❤️ Special Thanks
Special thanks to all Contributors and plugin developers for their contributions to AstrBot ❤️
Additionally, the birth of this project would not have been possible without the help of the following open-source projects:
- NapNeko/NapCatQQ - The amazing cat framework
⭐ Star History
Tip
If this project has helped you in your life or work, or if you're interested in its future development, please give the project a Star. It's the driving force behind maintaining this open-source project <3
Companionship and capability should never be at odds. What we aim to create is a robot that can understand emotions, provide genuine companionship, and reliably accomplish tasks.
私は、高性能ですから!
