libenxier-beep/codex-memories
Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#785
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| 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
5
DAYS ON TRENDING
#2490
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install codex-memories using your package manager: `pip install codex-memories`
Initialize your project workspace or configuration file for codex-memories.
Import codex-memories into your codebase or invoke it directly from your terminal.
Execute your test suite or run `codex-memories --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,722 | MongLong0214/logic-pro-mcp | Swift | ★ 104 | Compare ↗ |
| #6,722 | devsy-org/devsy | Go | ★ 104 | Compare ↗ |
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| #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 ↗ |
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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.