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LightAgent
Compact open-source Python framework for building agents with tools, memory, MCP, tracing, guardrails and multi-step workflows.
What is LightAgent?
LightAgent is an open-source Python framework for developers who want to build AI agents without a heavy stack. It avoids LangChain and LlamaIndex, runs against OpenAI-compatible endpoints including OpenAI, DeepSeek, Qwen, OpenRouter, vLLM and llama.cpp, and returns OpenAI-style streaming output so it can sit behind a chat interface. Install it with pip, create an agent with a model, key and base URL, and call run. On top of that core it provides custom tools and MCP tool servers, per-user long-term memory through the mem0 module, a Tree of Thought module for task decomposition, LightSwarm for delegating between agents, and LightFlow for deterministic multi-step workflows with retries, checkpoints and approval nodes. Optional tracing, an evaluation harness, guardrails and human-approval hooks help with production use. The project is free, and the repository lists releases up to v0.11.0.
Use cases
- Build a tool-calling agent in Python
- Give agents memory per user
- Coordinate several agents with a swarm
- Chain agents into deterministic workflows
- Connect agents to MCP tool servers
- Require human approval for risky tool calls
- Trace and evaluate agent behavior
Who it's for
Why use LightAgent
- The core stays small and does not depend on LangChain or LlamaIndex, so there is less to learn.
- Any OpenAI-compatible provider or local server can be used, which keeps model choice open.
- Production controls such as tracing, guardrails, approvals and evaluation can be added step by step.
- OpenAI-style streaming output lets it drop in behind existing chat front ends.
- It is free and open source, with release notes and docs published in the repository.
LightAgent features
- Agent class with OpenAI-compatible streaming output
- Custom Python tools and MCP over stdio and SSE
- Per-user long-term memory with the mem0 module
- Tree of Thought module with reflection
- LightSwarm for intent recognition and delegation
- LightFlow workflows with retries, checkpoints and resume
- Opt-in tracing with exportable run events
- LightEvaluator for deterministic regression cases
- Input, tool and output guardrail templates
- Human approval hook for high-impact tools
LightAgent integrations
How to get started with LightAgent
- Install the package with pip install lightagent, and optionally mem0ai for memory.
- Create a LightAgent with your model name, API key and base URL for an OpenAI-compatible endpoint.
- Register Python tools or MCP servers and call agent.run with a query, adding a user ID for memory.
- Turn on tracing, guardrails or approval hooks, and chain agents with LightSwarm or LightFlow as needs grow.
LightAgent limitations
- Targets OpenAI-compatible model APIs
- Requires writing Python code
- Arbitrary Python execution tools are not registered by default
- SharedMemoryPool is described as a prototype
LightAgent pricing
LightAgent is open source, so you can use and self-host it for free.
Prices can change and may vary by country or exclude tax. Check the official pricing page.
LightAgent alternatives
The main LightAgent alternatives listed on Debuly are LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, smolagents and LlamaIndex. The table compares pricing and platforms; order is A–Z.
| Tool | Pricing | Starting price | Platforms |
|---|---|---|---|
| LightAgent | Open source | — | API, Self-hosted |
| AutoGen | Open source | — | API, CLI |
| CrewAI | Open source | — | Web, API, CLI, Self-hosted |
| LangGraph | Open source | — | Self-hosted, Web, API |
| LlamaIndex | Freemium | $50/mo | Web, API, Self-hosted |
| OpenAI Agents SDK | Open source | — | Python, macOS, Linux, Windows |
| smolagents | Open source | — | CLI, Self-hosted |
AutoGen
Microsoft's MIT-licensed Python and .NET framework for multi-agent AI apps, now archived; new projects are pointed to Microsoft Agent Framework.
Open sourceVisit AutoGen (official site)
CrewAI
Multi-agent framework and platform for building AI agent crews in Python or a visual editor, then deploying and monitoring them.
Open sourceVisit CrewAI (official site)
LangGraph
Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.
Open sourceVisit LangGraph (official site)
LlamaIndex
Open-source framework plus the LlamaParse platform for parsing, extracting and indexing documents so LLM apps can use them.
FreemiumVisit LlamaIndex (official site)
OpenAI Agents SDK
Open-source Python framework for building multi-agent workflows with tools, handoffs, guardrails, tracing, sandboxes and voice agents.
Open sourceVisit OpenAI Agents SDK (official site)
smolagents
Hugging Face's minimal open-source Python library for building agents that write their actions as code.
Open sourceVisit smolagents (official site)
LightAgent FAQ
How much does LightAgent cost?
LightAgent is free and open source. You pay only for the model API or hosting you connect it to.
Is there a free plan for LightAgent?
There are no paid plans. The whole framework is available at no charge from GitHub and can be installed with pip.
Is LightAgent open source?
Yes. The code is published on GitHub and the project describes itself as fully open source and community-driven.
Which models does LightAgent work with?
It works with OpenAI-style providers such as OpenAI, OpenRouter, DeepSeek, Qwen and StepFun, and with local servers like vLLM and llama.cpp.
Does LightAgent support MCP?
Yes. It can connect to MCP tool servers over stdio and SSE as well as use custom Python tools.
What are alternatives to LightAgent?
Other agent frameworks include LangGraph, CrewAI, AutoGen, the OpenAI Agents SDK and smolagents.
Sources & verification
Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.
| Source | Type | Accessed |
|---|---|---|
| github.com/wanxingai/LightAgent | official |
Image credits
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- Cover: none collected yet, so a generated tile is shown.
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