d21dee07c4
- Revised the title to include a subtitle for better context. - Added a mission control image to enhance visual engagement. - Maintained focus on Yao as an open-source engine for autonomous agents.
65 lines
2.4 KiB
Markdown
65 lines
2.4 KiB
Markdown
# Yao — Build Autonomous Agents. Just Define the Role.
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Yao is an open-source engine for autonomous agents — event-driven, proactive, and self-scheduling.
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**Quick Links:**
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**🏠 Homepage:** [https://yaoapps.com](https://yaoapps.com)
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**🚀 Quick Start:** [https://yaoapps.com/docs/documentation/en-us/getting-started](https://yaoapps.com/docs/documentation/en-us/getting-started#quickstart)
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**📚 Documentation:** [https://yaoapps.com/docs](https://yaoapps.com/docs)
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**✨ Why Yao?** [https://yaoapps.com/docs/why-yao](https://yaoapps.com/docs/documentation/en-us/getting-started/why-yao)
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**🤖 Yao Agents:** [https://github.com/YaoAgents/awesome](https://github.com/YaoAgents/awesome) ( Preview )
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---
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## What Makes Yao Different?
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| Traditional AI Assistants | Yao Autonomous Agents |
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| ----------------------------- | ------------------------------------- |
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| Entry point: Chatbox | Entry point: Email, Events, Schedules |
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| Passive: You ask, they answer | Proactive: They work autonomously |
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| Role: Tool | Role: Team member |
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> The entry point is not a chatbox — it's email, events, and scheduled tasks.
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---
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## Features
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### Autonomous Agent Framework
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Build agents that work like real team members:
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- **Three Trigger Modes** — Clock (scheduled), Human (email/message), Event (webhook/database)
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- **Six-Phase Execution** — Inspiration → Goals → Tasks → Run → Deliver → Learn
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- **Multi-Agent Orchestration** — Agents delegate, collaborate, and compose dynamically
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- **Continuous Learning** — Agents accumulate experience in private knowledge bases
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### Native MCP Support
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Integrate tools without writing adapters:
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- **Process Transport** — Map Yao processes directly to MCP tools
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- **External Servers** — Connect via SSE or STDIO
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- **Schema Mapping** — Declarative input/output schemas
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### Built-in GraphRAG
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- **Vector Search** — Embeddings with OpenAI/FastEmbed
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- **Knowledge Graph** — Entity-relationship retrieval
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- **Hybrid Search** — Combine vector similarity with graph traversal
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### Full-Stack Runtime
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Everything in a single executable:
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- **All-in-One** — Data, API, Agent, UI in one engine
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- **TypeScript Support** — Built-in V8 engine
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- **Single Binary** — No Node.js, Python, or containers required
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- **Edge-Ready** — Runs on ARM64/x64 devices
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