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The mcp-memory MCP server was last committed 2mo ago and has 3 contributors. Issue health: 100% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

mcp-memory MCP Server

Name: fellowgeek/mcp-memory
Rating: 3.7 (1 reviews)
Author: fellowgeek

fellowgeek/mcp-memory

Score: 66.6 Rank #4752 Database

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An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents.

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Overview

fellowgeek/mcp-memory is a Python MCP server licensed under MIT. An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents.

Ranked #4752 out of 24846 indexed tools.

Ecosystem

Python MIT 12 pypi/wk

Score Breakdown

Stars 15% 217

217 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 100%

2/2 issues closed → responsive maintainer

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 12/wk

12 weekly installs → early adoption

Forks 15

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 73 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 217
Forks: 15
Open Issues: 0
Closed Issues: 2
Contributors: 3
Dependents: —
Language: Python
License: MIT
Last Commit: 2mo ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# MCP-Memory: OKF-Backed Agent Memory Server

**MCP-Memory** is a Model Context Protocol (MCP) server that equips AI agents (such as Claude Desktop, Cursor, Antigravity, Windsurf, or Codex) with persistent, long-term memory capabilities.

Memory records are formatted using the [**Open Knowledge Format (OKF v0.2)**](https://github.com/GoogleCloudPlatform/knowledge-catalog/blob/main/okf/SPEC.md) standard and indexed with a local **SQLite** instance (supporting FTS5 full-text search) for fast key-value lookups, tag filtering, and content search.

> **Fast Track:** [Jump directly to Quick Start](#quick-start)

---

## Key Features

* **Persistent State Across Sessions:** Enables AI agents to read, store, search, and delete stateful memory snippets that persist across chat turns and sessions.
* **OKF Standard Compliance:** Stores every memory item formatted as an OKF v0.2 Markdown document with YAML frontmatter (`type`, `key`, `namespace`, `tags`, `generated`, `sources`, `verified`, `status

Read full README on GitHub →