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AtomicBot-ai
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AtomicBot-ai/atomic-agent

Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.

TypeScript ◇ agents MIT
★2.6KSTARS
⑂256FORKS
!30ISSUES
🏆#2,446GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+64

STARS · LAST 30 DAYS

2

PER DAY

#334

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+14+64+180
Per day222
Forks gained+1+5+13

atomic-agent gained 64 stars in the last 30 days, about 2 a day, and now has 2.6K. It is about 1 year old and has averaged roughly 2.6K stars a year. It ranks #334 among TypeScript repositories and #2,446 across all languages on GitHubRepo.

Trending Record

atomic-agent has maintained a continuous presence across global trending indexes, peaking at #3516. Below is the 30-day activity profile:

💡 Overview

atomic-agent is an open-source project written in TypeScript: Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai-agent, browser-automation. 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 TypeScript 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
$ npm install atomic-agent

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

atomic-agent coordinates its core functionality through a modular TypeScript 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 atomic-agent.

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 atomic-agent using your package manager: `npm install atomic-agent`

2

Initialize your project workspace or configuration file for atomic-agent.

3

Import atomic-agent into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 2,564 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript 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 TypeScript 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 TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

AtomicBot-ai/atomic-agent is currently ranked #2,446 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,440 matrix-construct/tuwunel Rust ★ 2.6K Compare ↗
#2,442 firebase/firebase-android-sdk Java ★ 2.6K Compare ↗
#2,443 stripe/stripe-ios Swift ★ 2.6K Compare ↗
#2,443 StikDebug/StikDebug Swift ★ 2.6K Compare ↗
#2,445 markqvist/NomadNet Python ★ 2.6K Compare ↗
#2,446 AtomicBot-ai/atomic-agent This Project TypeScript ★ 2.6K
#2,447 Azure/azure-sdk-for-java Java ★ 2.6K Compare ↗
#2,448 google/jimfs Java ★ 2.6K Compare ↗
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Frequently Asked Questions

What does atomic-agent do? +

Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.

What language is atomic-agent written in? +

The primary language is TypeScript. Topics include: agents, ai-agent, browser-automation, cli, gbnf.

Is atomic-agent actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 30 open issues being tracked.

How many stars does atomic-agent have? +

atomic-agent has 2,564 stars and 256 forks on GitHub.

How does atomic-agent rank among GitHub repositories? +

With 2,564 stars, AtomicBot-ai/atomic-agent is ranked #2,446 globally across all repositories tracked on GitHubRepo and #334 among TypeScript projects.

What license is atomic-agent distributed under? +

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

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