Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Star History
Momentum
+49
STARS · LAST 30 DAYS
2
PER DAY
#258
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +49 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +2 | +7 | +16 |
mcp-memory-service gained 49 stars in the last 30 days, about 2 a day, and now has 2K. It is about 2 years old and has averaged roughly 983 stars a year. It ranks #258 among Python repositories and #1,928 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#1733
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mcp-memory-service has maintained a continuous presence across global trending indexes, peaking at #1733. Below is the 30-day activity profile:
💡 Overview
mcp-memory-service is an open-source project written in Python: Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, agentic-ai, ai-agents. 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 mcp-memory-service⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mcp-memory-service 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 mcp-memory-service.
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 mcp-memory-service using your package manager: `pip install mcp-memory-service`
Initialize your project workspace or configuration file for mcp-memory-service.
Import mcp-memory-service into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mcp-memory-service --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
doobidoo/mcp-memory-service is currently ranked #1,928 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does mcp-memory-service do? +
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
What language is mcp-memory-service written in? +
The primary language is Python. Topics include: agent-memory, agentic-ai, ai-agents, autogen, claude.
Is mcp-memory-service actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 27 open issues being tracked.
How many stars does mcp-memory-service have? +
mcp-memory-service has 1,966 stars and 326 forks on GitHub.
How does mcp-memory-service rank among GitHub repositories? +
With 1,966 stars, doobidoo/mcp-memory-service is ranked #1,928 globally across all repositories tracked on GitHubRepo and #258 among Python projects.
What license is mcp-memory-service distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
