# AgentMemory

> Use this tool when you need to retain knowledge and decisions across AI agent sessions, solving problems of lost context and duplicated efforts. AgentMemory provides a hosted persistent memory solution, accepting codebase knowledge and decision outcomes as inputs and offering hybrid retrieval and governed access as outputs. It is ideal for use cases involving Claude Code, Cursor, and OpenAI workflows, integrating via MCP and REST APIs.

Canonical page: https://skillsregistry.net/skills/agentmemory  
JSON: https://api.skillsregistry.net/v1/skills/agentmemory

## Description

AgentMemory provides hosted persistent memory for AI coding agents across sessions, capturing decisions, outcomes, and codebase knowledge. It offers hybrid retrieval combining multiple search signals, memory governance with access controls, and integrations with Claude Code, Cursor, and OpenAI workflows via MCP and REST APIs.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentmemory)

## 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": "agentmemory"
    }
  }
}
```

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