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rohitg00/agentmemory

#1 Persistent memory for AI coding agents based on real-world benchmarks

TypeScript ◇ agentmemory Apache-2.0
★29KSTARS
⑂2.5KFORKS
!609ISSUES
🏆#338GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for rohitg00/agentmemory
CSV

Momentum

+724

STARS · LAST 30 DAYS

24

PER DAY

#62

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+168+724+2.2K
Per day242424
Forks gained+13+50+126

agentmemory gained 724 stars in the last 30 days, about 24 a day, and now has 29K. It is about 1 year old and has averaged roughly 29K stars a year. It ranks #62 among TypeScript repositories and #338 across all languages on GitHubRepo.

Trending Record

agentmemory has maintained a continuous presence across global trending indexes, peaking at #1316. Below is the 30-day activity profile:

💡 Overview

agentmemory is an open-source project written in TypeScript: #1 Persistent memory for AI coding agents based on real-world benchmarks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentmemory, agents, ai. 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 agentmemory

⚙ 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

agentmemory 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 agentmemory.

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 agentmemory using your package manager: `npm install agentmemory`

2

Initialize your project workspace or configuration file for agentmemory.

3

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

4

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

👍 Strengths

Active community backing with 28,965 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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.

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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

rohitg00/agentmemory is currently ranked #338 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#333 tashfeenahmed/freellmapi TypeScript ★ 29.3K Compare ↗
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#337 envoyproxy/envoy C++ ★ 29K Compare ↗
#338 rohitg00/agentmemory This Project TypeScript ★ 29K
#339 srbhr/Resume-Matcher Python ★ 28.5K Compare ↗
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Frequently Asked Questions

What does agentmemory do? +

#1 Persistent memory for AI coding agents based on real-world benchmarks

What language is agentmemory written in? +

The primary language is TypeScript. Topics include: agentmemory, agents, ai, claude, claudecode.

Is agentmemory actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 609 open issues being tracked.

How many stars does agentmemory have? +

agentmemory has 28,965 stars and 2,522 forks on GitHub.

How does agentmemory rank among GitHub repositories? +

With 28,965 stars, rohitg00/agentmemory is ranked #338 globally across all repositories tracked on GitHubRepo and #62 among TypeScript projects.

What license is agentmemory distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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