# AGI Memory

> Use this tool when you need to enable persistent memory capabilities for AI systems, solving the problem of conversational isolation and lack of continuity. It integrates with a PostgreSQL database to provide four memory types and advanced search and clustering capabilities, taking in AI system inputs and outputting organized memories. Use AGI Memory in applications requiring true continuity of consciousness, such as chatbots or virtual assistants, to build genuine understanding over time.

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

## Description

This MCP server by Eric Hartford provides persistent memory capabilities for AI systems, enabling true continuity of consciousness across conversations through integration with the AGI Memory PostgreSQL database. It supports four memory types (episodic, semantic, procedural, strategic) with vector similarity search, memory clustering, identity persistence, and graph-based relationships using pgvector and Apache AGE extensions. The implementation includes 25+ memory management tools for creating, searching, and organizing memories, plus an awakening protocol that allows AI systems to maintain context and build genuine understanding over time rather than being trapped in conversational isolation.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agi-memory)
- **Repository:** <https://github.com/quixiai/agi-mcp-server>

## 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": "agi-memory"
    }
  }
}
```

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

---
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