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rohitg00/agentmemory

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

TypeScript ◇ agentmemory Apache-2.0
★30.1KSTARS
⑂2.7KFORKS
!530ISSUES
🏆#560GLOBAL RANK
🔥40DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

agentmemory is agentmemory is an open-source project written in TypeScript: #1 Persistent memory for AI coding agents based on real-world benchmarks.. It provides a free, self-hosted open-source alternative to Cursor.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), rohitg00/agentmemory has accumulated 30,066 GitHub stars and 2,655 forks. It is written in TypeScript, licensed under Apache-2.0, and ranks #560 globally. It is actively maintained with the latest commit recorded on Oct 29, 2026.”
Repository rohitg00/agentmemory ↗
Primary Category agentmemory
Language & Stack TypeScript
Software License Apache-2.0
Community Traction ★ 30.1K stars · ⑂ 2.7K forks · #560 globally
Maintenance ● Active (Last commit: Oct 29, 2026) · 530 open issues
Replaces SaaS Open Source Cursor Alternative ($20/month per user) →
Target Audience Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

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

Yes, agentmemory is actively maintained. Continuous telemetry recorded the last code commit on Oct 29, 2026 (14 days ago). Supported by 30,066 stars and 2,655 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (530 open).

Commit Recency
Oct 29, 2026
14 days since last push
Issue Backlog
530 Open Issues
Active Community Feedback (530 open)
Community Backing
2.7K Forks
30.1K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for rohitg00/agentmemory
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Momentum

+980

STARS · LAST 30 DAYS

33

PER DAY

#117

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+0+980+3K
Per day13333
Forks gained+0+119+133

agentmemory gained 980 stars in the last 30 days, about 33 a day, and now has 30.1K. It is about 1 year old and has averaged roughly 30.1K stars a year. It ranks #117 among TypeScript repositories and #560 across all languages on GitHubRepo.

Trending Record

agentmemory has maintained a continuous presence across global trending indexes, peaking at #138. 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.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to Cursor Replaces proprietary subscriptions ($20/month per user) with self-hosted freedom.
Explore all Cursor alternatives →
F
freeCodeCamp/freeCodeCamp ★ 458.9K TypeScript

freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.

Compare ↗
R
morluto/rea ★ 430.5K TypeScript

Reverse engineer anything with agents, from app behavior down to native binaries.

Compare ↗
O
openclaw/openclaw ★ 394.3K TypeScript

The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

Compare ↗
D
deepseek-ai/deepseek-harness ★ 267K TypeScript

DeepSeek Harness: Everything is a Plugin.

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

RankRepositoryLanguageStarsAction
#555 Genesis-Embodied-AI/genesis-world Python ★ 30.2K Compare ↗
#556 trycua/cua Rust ★ 30.1K Compare ↗
#557 kestra-io/kestra Java ★ 30.1K Compare ↗
#558 actualbudget/actual TypeScript ★ 30.1K Compare ↗
#559 DrKLO/Telegram Java ★ 30.1K Compare ↗
#560 rohitg00/agentmemory This Project TypeScript ★ 30.1K
#561 jordanbaird/Ice Swift ★ 30K Compare ↗
#562 square/leakcanary Kotlin ★ 30K Compare ↗
#563 sampotts/plyr JavaScript ★ 30K Compare ↗
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#565 micro-editor/micro Go ★ 29.9K Compare ↗
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Frequently Asked Questions

What does agentmemory do? +

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

Is agentmemory actively maintained in 2026? +

Yes, agentmemory is actively maintained. The latest code push was recorded on Oct 29, 2026 (14 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 30,066 stars and 530 open issues.

What language is agentmemory written in? +

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

How many stars does agentmemory have? +

agentmemory has 30,066 stars and 2,655 forks on GitHub.

How does agentmemory rank among GitHub repositories? +

With 30,066 stars, rohitg00/agentmemory is ranked #560 globally across all repositories tracked on GitHubRepo and #117 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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