✨ Build AI agents and web apps — with a single binary.
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- Added functionality to build and manage MCP configuration for sandbox environments, allowing for dynamic tool execution. - Enhanced the Assistant's Stream method to skip MCP tool calls in sandbox mode, with internal handling by Claude CLI. - Introduced unit tests for MCP configuration building and skills directory resolution, ensuring robust integration. - Updated sandbox manager to create IPC sessions and manage tool exposure dynamically, improving interaction with external agents. - Enhanced documentation to reflect new features and integration points for MCP and skills within the sandbox. |
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Yao — Build Autonomous Agents. Just Define the Role.
Yao is an open-source engine for autonomous agents — event-driven, proactive, and self-scheduling.
Quick Links:
🏠 Homepage: https://yaoapps.com
🚀 Quick Start: https://yaoapps.com/docs/documentation/en-us/getting-started
📚 Documentation: https://yaoapps.com/docs
✨ Why Yao? https://yaoapps.com/docs/why-yao
🤖 Yao Agents: https://github.com/YaoAgents/awesome ( Preview )
What Makes Yao Different?
| Traditional AI Assistants | Yao Autonomous Agents |
|---|---|
| Entry point: Chatbox | Entry point: Email, Events, Schedules |
| Passive: You ask, they answer | Proactive: They work autonomously |
| Role: Tool | Role: Team member |
The entry point is not a chatbox — it's email, events, and scheduled tasks.
Features
Autonomous Agent Framework
Build agents that work like real team members:
- Three Trigger Modes — Clock (scheduled), Human (email/message), Event (webhook/database)
- Six-Phase Execution — Inspiration → Goals → Tasks → Run → Deliver → Learn
- Multi-Agent Orchestration — Agents delegate, collaborate, and compose dynamically
- Continuous Learning — Agents accumulate experience in private knowledge bases
Native MCP Support
Integrate tools without writing adapters:
- Process Transport — Map Yao processes directly to MCP tools
- External Servers — Connect via SSE or STDIO
- Schema Mapping — Declarative input/output schemas
Built-in GraphRAG
- Vector Search — Embeddings with OpenAI/FastEmbed
- Knowledge Graph — Entity-relationship retrieval
- Hybrid Search — Combine vector similarity with graph traversal
Full-Stack Runtime
Everything in a single executable:
- All-in-One — Data, API, Agent, UI in one engine
- TypeScript Support — Built-in V8 engine
- Single Binary — No Node.js, Python, or containers required
- Edge-Ready — Runs on ARM64/x64 devices