Agent skill · data analytics · sickn33
mesh-memory
Self-hosted semantic memory for AI agents via MCP. Save worklogs, decisions, and notes, then recall them across sessions by meaning, not keyword. Postgres + pgvector with auto-tagging.
Why this skill is useful
Adds a suite of executable tools for semantic memory management that enhance AI agents' ability to recall and organize information meaningfully across sessions.
What it needs
Requires docker installed locally. About 4k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Mesh Memory Mesh Memory is a self-hosted semantic memory service with a built-in MCP server. It stores documents (worklogs, decisions, notes, research) in PostgreSQL with pgvector and retrieves them by meaning, so a query like "what database did we pick?" surfaces a saved note that says "chose Redis for caching" even with zero keyword overlap. Embeddings are generated locally with multilingual-e5-base (768 dimensions); the core flow requires no external API keys. Use this skill when an agent needs persistent memory across sessions: saving its own work, recalling prior decisions, or building a project knowledge base shared between multiple agents. When to Use This Skill Saving a session worklog, decision, or research note so a later session can find it. Recalling past work by topic when you do not remember the exact words you used. Sharing a long-lived knowledge base across multiple agents, terminals, or teammates. Organizing context by role or project through workspaces (one workspace per role/project). Looking up structured tags (e.g. all type:decision entries from one project). Prerequisites A running Mesh Memory instance reachable from the MCP server. Local Docker is the common path -- docker compose up -d in the upstream repo brings it up; see https://github.com/dklymentiev/mesh-memory for the full Quick Start. The MCP server (mcpserver.py) registered with your client (Claude Code, Cursor, Claude Desktop, or any other MCP-aware agent). MESHAPIURL pointing at the running instance (default: http://localhost:8000). Setup Register the MCP server in your client configuration: When the server is reachable, the 13 tools listed below become available. MCP Tools Tool Purpose ------ --------- meshfocus Switch the active workspace (optionally prefetch recent docs). meshadd Save a document with optional tags. Auto-adds date:YYYY-MM-DD and source:. meshupdate Update content, tags, or pinned status of an existing document. meshdelete Delete a document by GUID. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/mesh-memory--869567