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libenxier-beep/codex-memories

Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.

Python ◇ agent-memory Apache-2.0
★103STARS
⑂2FORKS
!0ISSUES
🏆#6,746GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for libenxier-beep/codex-memories
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#785

MOST-STARRED Python

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

codex-memories gained 10 stars in the last 30 days, about 1 a day, and now has 103. It is about 1 year old and has averaged roughly 103 stars a year. It ranks #785 among Python repositories and #6,746 across all languages on GitHubRepo.

Trending Record

codex-memories has maintained a continuous presence across global trending indexes, peaking at #2490. Below is the 30-day activity profile:

💡 Overview

codex-memories is an open-source project written in Python: Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, ai-agents, codex. 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 codex-memories

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

codex-memories 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 codex-memories.

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 codex-memories using your package manager: `pip install codex-memories`

2

Initialize your project workspace or configuration file for codex-memories.

3

Import codex-memories into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 102 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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.

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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

libenxier-beep/codex-memories is currently ranked #6,746 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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#6,722 OneYoungMean/KimodoUnityBridge C# ★ 104 Compare ↗
#6,722 automatis-tools/agents-can-communicate JavaScript ★ 104 Compare ↗
#6,722 udaysharmadev/Not-Ai Python ★ 104 Compare ↗
#6,746 libenxier-beep/codex-memories This Project Python ★ 103
#6,746 caged/lighthouse-api Ruby ★ 103 Compare ↗
#6,746 purcell/darcs-to-git Ruby ★ 103 Compare ↗
#6,746 yfactorial/utility_scopes Ruby ★ 103 Compare ↗
#6,746 aquasync/ruby-msg Ruby ★ 103 Compare ↗
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Frequently Asked Questions

What does codex-memories do? +

Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.

What language is codex-memories written in? +

The primary language is Python. Topics include: agent-memory, ai-agents, codex, context-engineering, llm.

Is codex-memories actively maintained? +

Yes, the last recorded push was on Sep 10, 2026 with 0 open issues being tracked.

How many stars does codex-memories have? +

codex-memories has 103 stars and 2 forks on GitHub.

How does codex-memories rank among GitHub repositories? +

With 103 stars, libenxier-beep/codex-memories is ranked #6,746 globally across all repositories tracked on GitHubRepo and #785 among Python projects.

What license is codex-memories distributed under? +

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

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