Agent Memory MCP server
io.github.ipiton/agent-memory-mcp·v0.16.0·42 starsMemory, docs, and repo context layer for engineering agents.
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42 stars
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Agent Memory MCP tools
No tool declarations could be read from the package source. They show once the server is installed.
How Agent Memory MCP compares
Against every graded Productivity MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 70/100
- higher than 30% of 1,301 Productivity servers
- GitHub stars
- 42
- more than 87% of 855 Productivity servers
Release history: 5 versions in the registry since 2026-09-04, latest 2026-11-04, typically one every 21 days.
Install Agent Memory MCP in Claude Code, Cursor or VS Code
The registry entry has no remote endpoint or installable package.
What the publisher says
From the Agent Memory MCP repository's README, as published. We do not edit it. Read it on GitHub
agent-memory-mcp
A memory, docs, and repo context layer for engineering agents.
agent-memory-mcp helps agents work with live engineering context, not just isolated notes. It combines typed memory, document retrieval, and repository-aware tools so Claude, Cursor, Codex, and other MCP clients can recall decisions, search runbooks, inspect project docs, and reuse operational knowledge across sessions.
It is designed for engineering workflows such as:
- DevOps and platform operations
- infrastructure changes and rollback planning
- runbooks, changelogs, RFCs, and postmortems
- project-level memory that stays attached to the repo
Who This Is For
- teams using AI agents on real codebases, docs, and operational workflows
- DevOps, platform, and infra engineers who need more than chat history
- projects that want local-first memory today and a shared service path later
Why Not Just A Memory Tool
Most memory MCP servers focus on "store a note, recall a note."
agent-memory-mcp is aimed at a wider engineering context layer:
- typed memory for decisions, facts, patterns, and working context
- RAG indexing for project docs, changelogs, and knowledge files
- repo/file tools for reading and searching allowed project paths
- local SQLite storage with stdio today and HTTP/JSON-RPC when you need to share it
This makes it a better fit when the agent needs to answer questions like:
- "Why did we disable HPA on this service?"
- "What changed recently that could explain this regression?"
- "Which runbook or RFC matches this incident?"
Table of Contents
- Who This Is For
- Why Not Just A Memory Tool
- Features
- What Improved For Users
- Start Local In 3 Minutes
- Local-Only Mode
- Index Your Repo In 2 Commands
- Turn It Into A Team Service Later
- Installation Options — Homebrew, binary, source, Docker
- CLI Mode
- MCP client configuration — Claude Desktop, Cursor, Codex
- Recommended Workflow Snippets — what to paste into CLAUDE.md / .cursorrules
Reference docs: HOOKS · MCPTOOLS · SHAREDSERVICE · STEWARDSHIP · SEDIMENTATION · BACKUPRESTORE · SECURITY · THREATMODEL · CONTRIBUTING · CHANGELOG
Features
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Agent Memory MCP: common questions
- Is Agent Memory MCP server safe?
- Mostly: it is graded B (70/100). Read the Agent Memory MCP safety report
- Does Agent Memory MCP need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Agent Memory MCP maintained?
- The last commit was 41 days ago (2026-09-25). The latest release is v0.16.0.
- What can I use instead of Agent Memory MCP?
- Servers from other publishers that do the same job: loci MCP server, AI Context MCP server and Workfile MCP server. Compare all Agent Memory MCP alternatives.
- How does Agent Memory MCP compare with other Productivity MCP servers?
- safety score 70/100 (higher than 30% of 1,301 Productivity servers); github stars 42 (more than 87% of 855 Productivity servers). Full comparison.
Alternatives to Agent Memory MCP
Same job from other publishers: the closest match first, then the best rated.
- lociCross-session memory and hybrid RAG over your notes and docs. Local-first, with cited answers.not reviewedEstablishedA
AI ContextLocal-first MCP server: version-correct library docs, code map, and offline drift for your repo.not reviewedGrowingB- WorkfileRepository-native protocol and local MCP server for Work, Docs, History and durable project Memory.not reviewedGrowingA
Context7Up-to-date docs for AI agentsnot reviewedWidely usedA
Svelte MCPThe official Svelte MCP server providing docs and autofixing tools for Svelte developmentnot reviewedWidely usedA
