mneme-ai

by patsa2561-art · Memory & Knowledge · ★ 7

mneme-ai is an MCP server by patsa2561-art. the memory layer of your codebase. Knows the WHY, the WHAT, the WHERE-IT-BREAKS. It has 7 GitHub stars and ranks #873 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: patsa2561-art
GitHub stars: 7
This week: Tracking since 18 Oct 2026
Language: TypeScript
License: MIT (open source)
Last update: 2026-07-01 (4 months ago)
Links: Source

ai-coding-assistant
ai-memory
codebase-memory
developer-tools
ghost-code
git-archaeology
knowledge-preservation
local-first
mcp
mcp-server
model-context-protocol
premortem
+5 more

How to install mneme-ai

Install steps differ per project, so follow the README in the mneme-ai repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

Also listed in

Maintain this project? Get it featured ($99/mo, pinned at the top of Memory & Knowledge) or see what featuring includes.

Report a problem with this listing

Frequently asked questions

What is mneme-ai?

mneme-ai is an MCP server by patsa2561-art in the Memory & Knowledge category. the memory layer of your codebase. Knows the WHY, the WHAT, the WHERE-IT-BREAKS. It has 7 GitHub stars and ranks #873 of 1287 in Memory & Knowledge by stars. It is written in TypeScript. It is licensed under MIT. It was last updated 4 months ago.

Is mneme-ai free and open source?

Yes. mneme-ai is published under the MIT license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to mneme-ai?

Other Memory & Knowledge projects on MCP Harbor include open-webui, graphify, claude-mem. Each alternative links to its own page with stars, license and recent activity. The Memory & Knowledge category ranks all 1287 by stars, and you can re-sort it by growth this week.

Alternatives to mneme-ai

open-webuiTrending★ 156,612

open-webui · Python+650 stars this week (+0.4%)

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

graphifyTrending★ 134,032

Graphify-Labs · Python+6,459 stars this week (+5.1%)

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

claude-memTrending★ 102,636

thedotmack · TypeScript+1,292 stars this week (+1.3%)

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

ragflowTrending★ 92,783

infiniflow · Go+413 stars this week (+0.4%)

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

lobehub★ 83,457

lobehub · TypeScript+167 stars this week (+0.2%)

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

headroomTrending★ 77,678

headroomlabs-ai · Python+2,109 stars this week (+2.8%)

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

All 1287 Memory & Knowledge MCP servers →

Data last updated 25 October 2026. Stars and downloads are refreshed every day from GitHub and npm.