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grpcer/ownmem

Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.

JavaScript ◇ agent-memory Apache-2.0
★421STARS
⑂7FORKS
!0ISSUES
🏆#6,160GLOBAL RANK
🔥4DAYS TRENDING
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Momentum

+11

STARS · LAST 30 DAYS

1

PER DAY

#451

MOST-STARRED JavaScript

Window7 days30 days90 days
Stars gained+7+11+90
Per day111
Forks gained+1+3+10

ownmem gained 11 stars in the last 30 days, about 1 a day, and now has 421. It is about 1 year old and has averaged roughly 421 stars a year. It ranks #451 among JavaScript repositories and #6,160 across all languages on GitHubRepo.

Trending Record

ownmem has maintained a continuous presence across global trending indexes, peaking at #4966. Below is the 30-day activity profile:

💡 Overview

ownmem is an open-source project written in JavaScript: Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, ai-agent-memory, ai-memory. 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 JavaScript 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 ownmem

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ownmem coordinates its core functionality through a modular JavaScript 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 ownmem.

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 ownmem using your package manager: `npm install ownmem`

2

Initialize your project workspace or configuration file for ownmem.

3

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

4

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

👍 Strengths

Active community backing with 421 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in JavaScript 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 JavaScript 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 →
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👥 Who Should Use This

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

🏆 Nearby in the Rankings

grpcer/ownmem is currently ranked #6,160 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,148 omdsh-dev/dsh-mnemon TypeScript ★ 423 Compare ↗
#6,148 IlyaP358/fluxcast Python ★ 423 Compare ↗
#6,157 gen2brain/iup-go Go ★ 422 Compare ↗
#6,157 relaticle/flowforge PHP ★ 422 Compare ↗
#6,157 dekart-xyz/dekart JavaScript ★ 422 Compare ↗
#6,160 grpcer/ownmem This Project JavaScript ★ 421
#6,160 yiisoft/yii2-elasticsearch PHP ★ 421 Compare ↗
#6,160 LoopKit/LoopKit Swift ★ 421 Compare ↗
#6,160 temporalio/sdk-php PHP ★ 421 Compare ↗
#6,160 vgvassilev/clad C++ ★ 421 Compare ↗
#6,165 fuji-mak/Capsomnia Swift ★ 420 Compare ↗

Frequently Asked Questions

What does ownmem do? +

Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.

What language is ownmem written in? +

The primary language is JavaScript. Topics include: agent-memory, ai-agent-memory, ai-memory, bm25, claude-code.

Is ownmem actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 0 open issues being tracked.

How many stars does ownmem have? +

ownmem has 421 stars and 7 forks on GitHub.

How does ownmem rank among GitHub repositories? +

With 421 stars, grpcer/ownmem is ranked #6,160 globally across all repositories tracked on GitHubRepo and #451 among JavaScript projects.

What license is ownmem distributed under? +

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

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