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langchain-ai
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langchain-ai/deepagents

The batteries-included agent harness.

Python ◇ ai MIT
★29.8KSTARS
⑂4.2KFORKS
!184ISSUES
🏆#328GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for langchain-ai/deepagents
CSV

Momentum

+745

STARS · LAST 30 DAYS

25

PER DAY

#70

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+175+745+2.3K
Per day252525
Forks gained+21+84+209

deepagents gained 745 stars in the last 30 days, about 25 a day, and now has 29.8K. It is about 1 year old and has averaged roughly 29.8K stars a year. It ranks #70 among Python repositories and #328 across all languages on GitHubRepo.

Trending Record

deepagents has maintained a continuous presence across global trending indexes, peaking at #144. Below is the 30-day activity profile:

💡 Overview

deepagents is an open-source project written in Python: The batteries-included agent harness.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, deepagents, harness. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install deepagents

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

deepagents coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with deepagents.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install deepagents using your package manager: `pip install deepagents`

2

Initialize your project workspace or configuration file for deepagents.

3

Import deepagents into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `deepagents --help` to verify successful setup.

👍 Strengths

Active community backing with 29,753 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

langchain-ai/deepagents is currently ranked #328 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#323 librepods-org/librepods Kotlin ★ 30K Compare ↗
#324 sampotts/plyr JavaScript ★ 30K Compare ↗
#325 square/leakcanary Kotlin ★ 30K Compare ↗
#326 decolua/9router JavaScript ★ 29.9K Compare ↗
#327 apolloconfig/apollo Java ★ 29.8K Compare ↗
#328 langchain-ai/deepagents This Project Python ★ 29.8K
#329 simstudioai/sim TypeScript ★ 29.7K Compare ↗
#330 micro-editor/micro Go ★ 29.6K Compare ↗
#331 composer/composer PHP ★ 29.5K Compare ↗
#332 chroma-core/chroma Rust ★ 29.4K Compare ↗
#333 tashfeenahmed/freellmapi TypeScript ★ 29.3K Compare ↗

Frequently Asked Questions

What does deepagents do? +

The batteries-included agent harness.

What language is deepagents written in? +

The primary language is Python. Topics include: ai, deepagents, harness, harness-engineering, langchain.

Is deepagents actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 184 open issues being tracked.

How many stars does deepagents have? +

deepagents has 29,781 stars and 4,182 forks on GitHub.

How does deepagents rank among GitHub repositories? +

With 29,781 stars, langchain-ai/deepagents is ranked #328 globally across all repositories tracked on GitHubRepo and #70 among Python projects.

What license is deepagents distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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