# remembra

> Use this tool when you need to retain context and recall important information in AI interactions. Remembra solves the problem of information loss by providing a persistent memory for AI agents, enabling hybrid search and entity extraction. It takes in agent inputs and outputs recalled context, making it ideal for use cases where knowledge sharing and retention are crucial, such as multi-agent collaborations or ongoing conversations.

Canonical page: https://skillsregistry.net/skills/remembra-ai-remembra  
JSON: https://api.skillsregistry.net/v1/skills/remembra-ai-remembra

## Description

Persistent memory for AI agents. Store context, recall semantically, never lose important information.

✨ Features:
- Hybrid search (semantic + keyword)
- Entity extraction & knowledge graph
- Multi-agent memory sharing
- Self-host in 5 minutes or use cloud

Works with Claude, Cursor, Codex, Windsurf, Gemini.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/remembra-ai/remembra)

## 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": "remembra-ai-remembra"
    }
  }
}
```

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