Deep Agents is an open-source, batteries-included agent harness designed for long-running, multi-step AI work. It provides an opinionated agent setup while allowing developers to override or replace individual pieces without forking the project. The framework is model-agnostic and works with tool-calling models from hosted providers, open-weight deployments, or local runtimes. Built on LangGraph, it includes persistence, checkpointing, streaming, and production-oriented orchestration. Agents can delegate to sub-agents, work with files, run shell commands, manage long contexts, and retain memory across sessions. It also supports human approval of tool calls, reusable skills, custom tools, and MCP servers.
Features
- Multi-agent task delegation
- Pluggable filesystem and shell access
- Long-context management and summarization
- Persistent cross-session memory
- Human approval for tool execution
- Custom tools, reusable skills, and MCP support
Categories
Agent HarnessesLicense
MIT LicenseFollow Deep Agents
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