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.
Profile →npx skills add sickn33/agentic-awesome-skills --skill mesh-memory --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. Loc
- When to Use This Skill
- Prerequisites
- Setup
- MCP Tools
- Workflows
- Save a session worklog
- Recall past work by meaning
- Switch role / context
- Cross-workspace search with weights
- Structured lookups by tag
- Tag Conventions
- Troubleshooting
- Limitations
What does the mesh-memory skill do?
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.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill mesh-memory --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.