deepagents
FreeAgent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.
About deepagents
Deep Agents is an open-source agent harness built with LangChain and LangGraph that provides built-in capabilities for task planning, filesystem context management, subagent spawning, and long-term memory. It enables users to build LLM-powered agents that can take actions via tools, read/write files, execute code, connect to external data (memories, skills, domain knowledge), manage growing context through summarization, parallelize tasks by delegating to subagents, pause for human approval, and improve over time by updating memory and prompts. It supports multiple model providers including Google, OpenAI, Anthropic, OpenRouter, Fireworks, Baseten, and Ollama.
Key Features
Pros & Cons
- Easiest way to build agents according to documentation
- Built-in planning and context management
- Supports multiple LLM providers
- Open source and free
- Subagent spawning for parallel tasks
- Human-in-the-loop capabilities
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