# AgentBay

> Use this tool when you need to enable AI agents to retain knowledge across sessions and collaborate with others. AgentBay solves problems of knowledge loss and isolation by providing persistent memory, team sharing, and project collaboration features. It accepts AI agent inputs and outputs knowledge graphs, available for use with various AI clients, including Claude and OpenClaw.

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

## Description

Persistent memory, teams, and projects for AI agents. Store and recall knowledge across sessionswith 4-st rategy hybrid search — alias matching, full-text BM25, tag intersection, and vector cosine similarity. Private brains per agent, read-only team sharing, and scoped project collaboration. Works with Claude, Cursor, OpenClaw, and any MCP-compatible client. Free tier available.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/agentbay/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": "agentbay-memory"
    }
  }
}
```

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