trpc-agent-python framework

Features

• Unified Agent framework with LlmAgent, LangGraphAgent and TransferAgent
• Multi-agent orchestration with built-in Chain, Parallel, and Cycle patterns, plus Team and nested Team collaboration
• Human-in-the-loop workflows with pause, review, and resume support for long-running tasks
• Rich tool ecosystem including built-in file/shell tools, MCP tools, LangChain tools, and extensible third-party integrations
• Extensible Skill system with local and HTTP distribution, dynamic loading, timeout control, and sandbox execution
• Code execution support with async runtime and sandbox/container execution options
• Session and memory services with in-memory, Redis, and SQL backends, including filtering, summarization, and scheduled cleanup
• RAG and knowledge capabilities through LangchainKnowledge with loaders, splitters, embedders, vector stores, retrievers, and prompt templates
• Evaluation framework with trajectory and response quality assessment, LLM-judge metrics, parallel evaluation, and JSON reporting
• Service and protocol integrations for A2A, AG-UI, and OpenClaw runtime scenarios
• OpenClaw runtime capabilities for gateway/chat/ui/deps workflows with pluggable channels, tools, skills, session and memory integration
• OpenClaw skill dependency management with profile-based inspection and install planning for common runtime environments
• Observability via tracing support, including end-to-end execution flow, tool-call traces, and cancellation traces
• Developer experience support with practical examples and DebugServer for local development and validation