InternLM/lagent

Health v2 · maintenance only

Adoption not part of the score

2278 stars · 240 forks observed · 2026-08-28

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

Lagent is a lightweight Python framework for building LLM-based agents, designed with a PyTorch-like philosophy where agents are composed like neural network layers with message passing. It supports single and multi-agent workflows, memory management, hooks, and integration with local LLM serving backends like vLLM.

Use cases

• build llm agents in python
• create multi-agent applications
• build an agent framework on top of local llms
• add memory and hooks to llm agents
• prototype agentic workflows with open-source models
• connect vllm-served models to an agent pipeline

When to choose

• you want a lightweight, code-first agent framework in Python
• you prefer a PyTorch-style compositional API for agents
• you need multi-agent communication with explicit message passing
• you run open-source models locally with vLLM or transformers

When to avoid

• you need a batteries-included agent platform with a visual UI
• you only want hosted-API agents with minimal code
• you need a production orchestration system with built-in observability

Facets

framework · maturity active

agent-framework llm-inference prompt-engineering artificial-intelligence large-language-models developer-tools python cross-platform multi-agent llm-agents pytorch-inspired agent-memory tool-calling ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="InternLM/lagent")