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.
FreeFree tier
Inputs: textOutputs: text, code
About Deepagents
Deep Agents is an open-source framework by LangChain that simplifies building LLM-powered agents. It provides built-in capabilities for task planning, filesystem-based context management, subagent spawning, long-term memory, human-in-the-loop approval, parallel task delegation, and continuous improvement through memory and skill updates. Supports multiple LLMs including OpenAI, Google, Anthropic, and more via a unified interface. Ideal for complex multi-step tasks and autonomous agent workflows.
Key Features
Task planning and execution
Filesystem backend for context management
Subagent spawning with isolated contexts
Long-term memory and skill updates
Human-in-the-loop approval at critical points
Parallel task delegation to specialized subagents
Support for multiple LLM providers (OpenAI, Google, Anthropic, etc.)
Code execution and file read/write capabilities
Automatic context summarization and history management
Open-source under MIT license
Pros & Cons
Pros
- Built-in planning, filesystem, and subagent capabilities out of the box
- Easy integration with major LLM providers
- Open-source with permissive MIT license and large community (22K+ stars)
- Supports human-in-the-loop for safety and oversight
- Designed for long-running tasks with context management
- Actively maintained by LangChain
Cons
- Requires programming knowledge (Python) to set up and use
- No graphical user interface; command-line and code only
- May have steep learning curve for beginners to agent frameworks
- Documentation is still evolving as the project grows
Best For
Complex multi-step agentic tasksAutomating workflows with LLM reasoningBuilding autonomous agents with tool useCode generation and execution in sandboxed environmentsResearch and data analysis with memory and context management
FAQ
What LLM providers does Deep Agents support?
Deep Agents supports OpenAI, Google (Gemini), Anthropic (Claude), OpenRouter, Fireworks, Baseten, and Ollama, as shown in the quickstart examples.
How does Deep Agents handle long-running tasks?
It manages growing context by summarizing history and offloading large results across long runs, and can spawn subagents with isolated context windows.
Is Deep Agents free and open-source?
Yes, Deep Agents is open-source under the MIT license and is free to use. The GitHub repository has over 22,000 stars.