# mesh-memory

> Use this tool when you need to enhance AI agents with persistent semantic memory, enabling them to recall past worklogs, decisions, and notes based on meaning rather than keywords. It solves problems of knowledge retention and retrieval across sessions, allowing for more informed decision-making. With inputs via MCP and outputs of relevant information, use mesh-memory in contexts where AI agents require a self-hosted, multilingual memory solution.

Canonical page: https://skillsregistry.net/skills/dklymentiev-mesh-memory  
JSON: https://api.skillsregistry.net/v1/skills/dklymentiev-mesh-memory

## Description

Self-hosted semantic memory for AI agents. Save worklogs, decisions, and notes via MCP, then recall them across sessions by meaning rather than keyword. Backed by Postgres + pgvector with local embeddings (multilingual-e5-base).

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e70gs4mp0v)
- **Repository:** <https://github.com/dklymentiev/mesh-memory>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dklymentiev-mesh-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dklymentiev-mesh-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dklymentiev-mesh-memory/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt