Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#967
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +2 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
marm-memory gained 10 stars in the last 30 days, about 1 a day, and now has 409. It is about 1 year old and has averaged roughly 409 stars a year. It ranks #967 among Python repositories and #7,736 across all languages on GitHubRepo.
Trending Record
11
DAYS ON TRENDING
#2918
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
marm-memory has maintained a continuous presence across global trending indexes, peaking at #2918. Below is the 30-day activity profile:
💡 Overview
marm-memory is an open-source project written in Python: Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, ai-agents, ai-memory. 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 marm-memory⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
marm-memory 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 marm-memory.
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 marm-memory using your package manager: `pip install marm-memory`
Initialize your project workspace or configuration file for marm-memory.
Import marm-memory into your codebase or invoke it directly from your terminal.
Execute your test suite or run `marm-memory --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
Lyellr88/marm-memory is currently ranked #7,736 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,727 | open-policy-agent/regal | Go | ★ 410 | Compare ↗ |
| #7,727 | increments/qiita-markdown | Ruby | ★ 410 | Compare ↗ |
| #7,727 | hiero-ledger/hiero-consensus-node | Java | ★ 410 | Compare ↗ |
| #7,727 | charlie12345/ROCmFPX | C++ | ★ 410 | Compare ↗ |
| #7,727 | openwong2kim/wmux | TypeScript | ★ 410 | Compare ↗ |
| #7,736 | Lyellr88/marm-memory This Project | Python | ★ 409 | |
| #7,736 | basecamp/hey-cli | Go | ★ 409 | Compare ↗ |
| #7,736 | ryohsuke1231/liquid-glass | TypeScript | ★ 409 | Compare ↗ |
| #7,736 | 256lights/zb | Go | ★ 409 | Compare ↗ |
| #7,736 | toastdriven/itty | Python | ★ 409 | Compare ↗ |
| #7,736 | ooc-lang/rock | ooc | ★ 409 | Compare ↗ |
Frequently Asked Questions
What does marm-memory do? +
Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.
What language is marm-memory written in? +
The primary language is Python. Topics include: agent-memory, ai-agents, ai-memory, claude-code, codex-cli.
Is marm-memory actively maintained? +
Yes, the last recorded push was on Oct 2, 2026 with 17 open issues being tracked.
How many stars does marm-memory have? +
marm-memory has 409 stars and 86 forks on GitHub.
How does marm-memory rank among GitHub repositories? +
With 409 stars, Lyellr88/marm-memory is ranked #7,736 globally across all repositories tracked on GitHubRepo and #967 among Python projects.
What license is marm-memory distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
