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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The batteries-included agent harness.
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Today
+34 stars today
This week
+238 stars this week
This month
+1.6k stars this month
Momentum
409.0
growth rate 0.81%/day
<div align="center">
<a href="https://docs.langchain.com/oss/python/deepagents/overview#deep-agents-overview">
<picture>
<source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
<source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
<img alt="Deep Agents Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
</a>
</div>
<div align="center">
<h3>The batteries-included agent harness.</h3>
</div>
<div align="center">
<a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/deepagents" alt="PyPI - License"></a>
<a href="https://pypistats.org/packages/deepagents" target="_blank"><img src="https://img.shields.io/pepy/dt/deepagents" alt="PyPI - Downloads"></a>
<a href="https://pypi.org/project/deepagents/#history" target="_blank"><img src="https://img.shields.io/pypi/v/deepagents?label=%20" alt="Version"></a>
<a href="https://x.com/langchain_oss" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
</div>
<br>
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 — see [deepagents.js](https://github.com/langchain-ai/deepagentsjs).
> [!NOTE]
> **Deep Agents Code** — a pre-built coding agent in your terminal, similar to Claude Code or Cursor, powered by any LLM. Install with `curl -LsSf https://langch.in/dcode | bash`. See the [documentation](https://docs.langchain.com/deepagents-code) for the full feature set.
## Quickstart
```bash
uv add deepagents
```
```python
from deepagents import create_deep_agent
agent = create_deep_agent(
model="openai:gpt-5.5",
tools=[my_custom_tool],
system_prompt="You are a research assistant.",
)
result = agent.invoke({"messages": "Research LangGraph and write a summary"})
```
The agent can plan, read/write files, and manage its own context. Add your own tools, swap models, customize prompts, configure sub-agents, and more. See the [documentation](https://docs.langchain.com/oss/python/deepagents/overview) for full details.
> [!TIP]
> For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
## FAQ
### How is this different from LangGraph or LangChain?
LangGraph is the graph runtime. LangChain's `create_agent` is a minimal agent harness on top of it. Deep Agents is a more opinionated harness on top of `create_agent` — same building blocks, but with filesystem, sub-agents, context management, and skills bundled in. For how the three relate, see the [LangChain ecosystem overview](https://docs.langchain.com/oss/python/concepts/products).
### Does this work with open-weight or local models?
Yes. Any model Excerpt of 6,924 characters
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Johannes du Plessis · @langchain-ai
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Jacob Lee · @langchain-ai · United States
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Nishitha M · LangChain · United States
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Maahir Sachdev · @langchain-ai · United States
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Lance Martin
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Adem Boukhris · Esprit School of Engineering
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Victor Moreira
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e4a2f2d93387dc34, topic:langgraph, readme:ai agents, readme:tool calling