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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
🏆#26,235GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

codex-memories is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), libenxier-beep/codex-memories has accumulated 103 GitHub stars and 2 forks. It is written in Python, licensed under Apache-2.0, and ranks #26,235 globally. It is actively maintained with the latest commit recorded on Sep 10, 2026.”
Repository libenxier-beep/codex-memories ↗
Primary Category agent memory
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 103 stars · ⑂ 2 forks · #26,235 globally
Maintenance ● Active (Last commit: Sep 10, 2026) · 0 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 81/100 · Grade B
✅
Is codex-memories actively maintained in 2026?
Verdict: Stable & Periodically Updated

Yes, codex-memories is actively maintained. Continuous telemetry recorded the last code commit on Sep 10, 2026 (64 days ago). Supported by 103 stars and 2 community forks, this repository holds a calculated health index of 81/100, reflecting periodic maintenance (64 days ago) and healthy issue cadence.

Commit Recency
Sep 10, 2026
64 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
2 Forks
103 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

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

+0

STARS · LAST 30 DAYS

1

PER DAY

#3,698

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+0+90
Per day111
Forks gained+0+0+10

codex-memories gained 0 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 #3,698 among Python repositories and #26,235 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.

⇄ Alternatives & Direct Competitors

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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 #26,235 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#26,124 OpenImagingLab/FlashVSR_Plus Python ★ 104 Compare ↗
#26,124 qkaiser/broadcom-wps Python ★ 104 Compare ↗
#26,124 tomtomsatnav/agent-orchestration-standard JavaScript ★ 104 Compare ↗
#26,124 Mike-Acb/snapdock Swift ★ 104 Compare ↗
#26,124 HuangShengZeBlueSky/dsh-harness-evolution JavaScript ★ 104 Compare ↗
#26,235 libenxier-beep/codex-memories This Project Python ★ 103
#26,235 caged/lighthouse-api Ruby ★ 103 Compare ↗
#26,235 purcell/darcs-to-git Ruby ★ 103 Compare ↗
#26,235 yfactorial/utility_scopes Ruby ★ 103 Compare ↗
#26,235 aquasync/ruby-msg Ruby ★ 103 Compare ↗
#26,235 apache/maven-scm Java ★ 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.

Is codex-memories actively maintained in 2026? +

Yes, codex-memories is actively maintained. The latest code push was recorded on Sep 10, 2026 (64 days ago). It holds a calculated Maintenance Health Score of 81/100 (B rating) with 103 stars and 0 open issues.

What language is codex-memories written in? +

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

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 #26,235 globally across all repositories tracked on GitHubRepo and #3,698 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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