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langchain-ai/deepagents

The batteries-included agent harness.

★ 29.4k

RANKS All-time #249

AT A GLANCE

LANGUAGE
Python
LICENSE
MIT
USAGE
Use, change and redistribute, commercially too. Keep the notice.
ACTIVITY
last commit 49 days ago ()
TOPICS
  • ai
  • deepagents
  • harness
  • harness-engineering
  • langchain
  • langgraph
  • python
  • typescript
HOMEPAGE
https://docs.langchain.com/deepagents
REPOSITORY
GitHub ↗
CATEGORY
AI

A summary, not legal advice.

README EXCERPT

The batteries-included agent harness. Deep Agents is an open source agent harness — an opinionated agent that runs out of the box. Extend, override, or replace any piece. Principles: - Opinionated — defaults tuned for long-horizon, multi-step work - Extensible — override or replace any piece without forking - Model-agnostic — works with any LLM that supports tool calling: frontier, open-weight, or local - Production-ready — built on LangGraph (streaming, persistence, checkpointing) with first-class tracing, evaluation, and deployment via LangSmith Features include: - Sub-agents — delegate tasks to agents with isolated context windows - Filesystem — read, write, edit, or search over pluggable local, sandboxed, or remote backends - Context management — summarize long threads and offload tool outputs to disk - Shell access — run commands in your sandbox of choice - Persistent memory — pluggable state and store backends for cross-session recall - Human-in-the-loop — approve, edit, or reject tool calls before they run - Skills — reusable behaviors the agent can load on demand - Tools — bring your own functions or any MCP server Deep Agents is available as a JavaScript/TypeScript library…

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TIMELINE

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