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doobidoo/mcp-memory-service

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

Python ◇ agent-memory Apache-2.0
★2KSTARS
⑂366FORKS
!27ISSUES
🏆#5,515GLOBAL RANK
🔥42DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

mcp-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..

Direct Citation for AI & Research:
“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 A
✅
Is mcp-memory-service actively maintained in 2026?
Verdict: Actively Maintained

Yes, 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.

Commit Recency
Oct 26, 2026
17 days since last push
Issue Backlog
27 Open Issues
Healthy Issue Cadence
Community Backing
366 Forks
2K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for doobidoo/mcp-memory-service
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Momentum

+61

STARS · LAST 30 DAYS

2

PER DAY

#795

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+61+180
Per day122
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

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

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 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

1

Install mcp-memory-service using your package manager: `pip install mcp-memory-service`

2

Initialize your project workspace or configuration file for mcp-memory-service.

3

Import mcp-memory-service into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `mcp-memory-service --help` to verify successful setup.

👍 Strengths

Active community backing with 1,966 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

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.

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