# Agent Memory

> Use this tool when you need to enable multiple AI agents to share and persist knowledge across sessions, solving problems of transient memory and inconsistent context. It provides a durable memory store with lexical and semantic search capabilities, accepting inputs from various AI coding agents and outputting a unified knowledge base. Ideal for use cases requiring collaborative agent learning and knowledge retention, such as multi-session dialogues or collective problem-solving.

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

## Description

Provides a shared, durable memory store backed by SQLite that multiple AI coding agents can read and write to. Agents contribute facts and context to a common local database, enabling persistent memory that survives across sessions and tools. Supports both lexical retrieval and optional semantic search via Ollama embeddings, with built-in session importers for Codex, Claude Code, and ChatGPT export archives. Includes client-adaptive response shaping, canonical preference resolution with last-write-wins semantics, and idempotent upsert operations with redaction heuristics.

## Trust

- **Trust score (0–1):** 0.70
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/mikeylong-agent-memory)
- **Repository:** <https://github.com/mikeylong/agent-memory-mcp>

## 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": "mikeylong-agent-memory"
    }
  }
}
```

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