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langchain-ai/deepagents

The batteries-included agent harness.

Python ◇ ai MIT
★30.7KSTARS
⑂4.3KFORKS
!193ISSUES
🏆#542GLOBAL RANK
🔥44DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

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

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), langchain-ai/deepagents has accumulated 30,657 GitHub stars and 4,313 forks. It is written in Python, licensed under MIT, and ranks #542 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
Repository langchain-ai/deepagents ↗
Primary Category ai
Language & Stack Python
Software License MIT
Community Traction ★ 30.7K stars · ⑂ 4.3K forks · #542 globally
Maintenance ● Active (Last commit: Oct 27, 2026) · 193 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 95/100 · Grade A+
✅
Is deepagents actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, deepagents is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (16 days ago). Supported by 30,657 stars and 4,313 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (16 days ago) and healthy issue cadence.

Commit Recency
Oct 27, 2026
16 days since last push
Issue Backlog
193 Open Issues
Healthy Issue Cadence
Community Backing
4.3K Forks
30.7K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

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

+492

STARS · LAST 30 DAYS

16

PER DAY

#119

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+492+1.4K
Per day11616
Forks gained+0+83+216

deepagents gained 492 stars in the last 30 days, about 16 a day, and now has 30.7K. It is about 1 year old and has averaged roughly 30.7K stars a year. It ranks #119 among Python repositories and #542 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.

⇄ Alternatives & Direct Competitors

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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 #542 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#537 nanocoai/nanoclaw TypeScript ★ 31.1K Compare ↗
#538 deskflow/deskflow C++ ★ 31K Compare ↗
#539 heroui-inc/heroui TypeScript ★ 30.9K Compare ↗
#540 GoogleChrome/lighthouse JavaScript ★ 30.9K Compare ↗
#541 ComposioHQ/composio TypeScript ★ 30.9K Compare ↗
#542 langchain-ai/deepagents This Project Python ★ 30.7K
#543 opentofu/opentofu Go ★ 30.7K Compare ↗
#544 openai/openai-agents-python Python ★ 30.6K Compare ↗
#545 meta/folly C++ ★ 30.6K Compare ↗
#546 librepods-org/librepods Kotlin ★ 30.5K Compare ↗
#547 statelyai/xstate TypeScript ★ 30.5K Compare ↗
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Frequently Asked Questions

What does deepagents do? +

The batteries-included agent harness.

Is deepagents actively maintained in 2026? +

Yes, deepagents is actively maintained. The latest code push was recorded on Oct 27, 2026 (16 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 30,657 stars and 193 open issues.

What language is deepagents written in? +

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

How many stars does deepagents have? +

deepagents has 30,657 stars and 4,313 forks on GitHub.

How does deepagents rank among GitHub repositories? +

With 30,657 stars, langchain-ai/deepagents is ranked #542 globally across all repositories tracked on GitHubRepo and #119 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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