# hippocampus-mcp

> Use this tool when you need to retain and retrieve AI agent conversation history across multiple platforms, enabling cross-session recall of past reasoning and decisions. It ingests conversation logs into a searchable PostgreSQL+pgvector database, solving problems of knowledge continuity and context switching. Ideal for use cases requiring persistent memory and informed decision-making, it accepts conversation logs as input and provides searchable query outputs.

Canonical page: https://skillsregistry.net/skills/hrmtz-hippocampus  
JSON: https://api.skillsregistry.net/v1/skills/hrmtz-hippocampus

## Description

A personal memory MCP server that ingests AI agent conversation logs from multiple platforms into a searchable PostgreSQL+pgvector database, enabling cross-session recall of past reasoning and decisions.

## Trust

- **Trust score (0–1):** 0.07
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wdy7m4oqzt)
- **Repository:** <https://github.com/hrmtz/hippocampus>

## 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": "hrmtz-hippocampus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hrmtz-hippocampus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hrmtz-hippocampus/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