wanxingai/LightAgent

Health v2 · maintenance only

Adoption not part of the score

1229 stars · 174 forks observed · 2026-10-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LightAgent is an ultra-lightweight open-source Python framework for building LLM-powered agents with tools, persistent memory, guardrails, tracing, and tree-of-thought reasoning. It supports multi-agent collaboration, MCP integration over stdio/SSE, and exposes OpenAI-compatible streaming APIs that work with any modern LLM such as OpenAI, DeepSeek, and Qwen.

Use cases

• build a lightweight ai agent with tool calling in python
• create multi-agent collaboration workflows with llms
• add memory and guardrails to an openai-compatible chatbot
• connect agents to mcp servers over stdio or sse
• serve an openai-compatible streaming agent api for a chat interface
• build self-learning agents with lifecycle hooks and tracing

When to choose

• you want a minimal, fast-to-set-up agent framework in pure Python
• you need OpenAI-compatible streaming output to drop into existing chat UIs
• you want built-in memory, guardrails, tracing, and MCP support without heavy dependencies
• you work with multiple LLM providers like OpenAI, DeepSeek, or Qwen

When to avoid

• you need a mature, battle-tested enterprise agent platform with large ecosystem support
• you require deep integrations with a specific vendor framework like LangChain or AutoGen
• you need non-Python languages or heavy distributed multi-agent orchestration at scale

Facets

framework · maturity active

agent-framework llm-inference mcp chatbot workflow-automation artificial-intelligence large-language-models developer-tools python cross-platform tool-calling multi-agent openai-compatible tree-of-thought memory guardrails tracing lifecycle-hooks self-hosted ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="wanxingai/LightAgent")