# memora

> memora — agentic-box-memora. Use this tool when you need to enable persistent memory for your AI agents, allowing them to retain information and learn from past interactions. Memora solves the problem of knowledge loss between conversations, providing a seamless experience for users. It integrates with git, accepting input from various sources and outputting stored data for agent recall.

Canonical page: https://skillsregistry.net/skills/agentic-box-memora  
JSON: https://api.skillsregistry.net/v1/skills/agentic-box-memora

## Description

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/agentic-box/memora)

## 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": "agentic-box-memora"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentic-box-memora` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentic-box-memora/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