{"repo":"ipiton/agent-memory-mcp","free":true,"listed":false,"github":"https://github.com/ipiton/agent-memory-mcp","clone":"git clone https://github.com/ipiton/agent-memory-mcp.git","description":"MCP server that gives AI agents persistent memory with semantic search","language":"Go","stars":39,"topics":[],"license":"MIT","category":"mcp-servers","readme_excerpt":"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 ","default_branch":null,"files":null,"tree":[],"storefront":"/r/ipiton","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ipiton/agent-memory-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}