Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
⚡ Executive Summary & Quick Facts
Authoritative Sourcemcp-memory-service is 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..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), doobidoo/mcp-memory-service has accumulated 2,048 GitHub stars and 366 forks. It is written in Python, licensed under Apache-2.0, and ranks #5,515 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
| Repository | doobidoo/mcp-memory-service ↗ |
|---|---|
| Primary Category | agent memory |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 2K stars · ⑂ 366 forks · #5,515 globally |
| Maintenance | ● Active (Last commit: Oct 26, 2026) · 27 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: 92/100 · Grade AYes, mcp-memory-service is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (17 days ago). Supported by 2,048 stars and 366 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.
Star History
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Momentum
+61
STARS · LAST 30 DAYS
2
PER DAY
#795
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +61 | +180 |
| Per day | 1 | 2 | 2 |
| Forks gained | +0 | +24 | +18 |
mcp-memory-service gained 61 stars in the last 30 days, about 2 a day, and now has 2K. It is about 2 years old and has averaged roughly 1K stars a year. It ranks #795 among Python repositories and #5,515 across all languages on GitHubRepo.
Trending Record
42
DAYS ON TRENDING
#1106
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mcp-memory-service has maintained a continuous presence across global trending indexes, peaking at #1106. 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 #5,515 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.
Is mcp-memory-service actively maintained in 2026? +
Yes, mcp-memory-service is actively maintained. The latest code push was recorded on Oct 26, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 2,048 stars and 27 open issues.
What language is mcp-memory-service written in? +
The primary language is Python. Topics include: agent-memory, agentic-ai, ai-agents, autogen, claude.
How many stars does mcp-memory-service have? +
mcp-memory-service has 2,048 stars and 366 forks on GitHub.
How does mcp-memory-service rank among GitHub repositories? +
With 2,048 stars, doobidoo/mcp-memory-service is ranked #5,515 globally across all repositories tracked on GitHubRepo and #795 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.