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by doobidoo · MCP Server · ★ 2.0k

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Featured in: Agent Memory

About mcp-memory-service

mcp-memory-service Persistent Shared Memory for AI Agent Pipelines Open-source memory backend for multi-agent systems. Agents store decisions, share causal knowledge graphs, and retrieve context in 5ms — without cloud lock-in or API costs. Works with LangGraph · CrewAI · AutoGen · any HTTP client · Claude Desktop [![Remote MCP](https://img.shields.io/badge

agent-memoryagentic-aiai-agentsautogenclaudecrewaiknowledge-graphlanggraphlong-term-memorymcp

Quick Facts

Stars1,955
Forks320
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score65.3980782871086/100
Open Issues23
Last Updated2026-09-22
Created2024-12-26
Platformsclaude-code, mcp, python
Est. Tokens~18k

Compatible Skills

These tools work well together with mcp-memory-service for enhanced workflows:

  • Agent-Wiz — semantic(0.21)+complementary+shared_fw(autogen,crewai)+rare_topics+same_lang+similar_pop+shared_platform (77%)
  • honcho — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (71%)
  • Tiger — semantic(0.18)+complementary+shared_fw(autogen,crewai,langchain)+same_lang+similar_pop+shared_platform (71%)
  • MemOS — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)

mcp-memory-service alternative? Top 6 similar tools

Looking for a mcp-memory-service alternative? If you're comparing mcp-memory-service with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • vestige by samvallad33 · ⭐ 628

    Cognitive Deterministic Memory Security OS for Agentic AI. Deterministic root-cause retrieval that reaches bac

  • mira-OSS by taylorsatula · ⭐ 477

    This is the public release of MIRA OS. Discrete memories decay through momentum loss, tools auto-configure whe

  • octocode by Muvon · ⭐ 475

    Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in o

  • honcho by plastic-labs · ⭐ 7.0k

    Memory library for building stateful agents

  • EverMemOS by EverMind-AI · ⭐ 3.5k

    A memory OS that makes your OpenClaw agents more personal while saving tokens.

  • nocturne_memory by Dataojitori · ⭐ 1.4k

    A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and

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Frequently Asked Questions

What is mcp-memory-service?

mcp-memory-service is Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.. It is categorized as a MCP Server with 2.0k GitHub stars.

What programming language is mcp-memory-service written in?

mcp-memory-service is primarily written in Python. It covers topics such as agent-memory, agentic-ai, ai-agents.

How do I install or use mcp-memory-service?

You can find installation instructions and usage details in the mcp-memory-service GitHub repository at github.com/doobidoo/mcp-memory-service. The project has 2.0k stars and 320 forks, indicating an active community.

What license does mcp-memory-service use?

mcp-memory-service is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-memory-service?

The top alternatives to mcp-memory-service on Agent Skills Hub include vestige, mira-OSS, octocode. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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