# Central Intelligence

> Use this tool when you need to retain and manage knowledge across multiple sessions, solving problems of information loss and enabling seamless recall and sharing of data. It provides a persistent memory interface for storing and retrieving information, with inputs including knowledge data and outputs including recalled information, and utilizes semantic search and scoping for efficient management. Ideal for use in applications requiring continuous learning and information retention, such as chatbots and virtual assistants.

Canonical page: https://skillsregistry.net/skills/alekseimarchenko-central-intelligence  
JSON: https://api.skillsregistry.net/v1/skills/alekseimarchenko-central-intelligence

## Description

Persistent memory for AI agents. Store, recall, and share knowledge across sessions with five MCP tools: remember, recall, context, forget, and share.  Includes semantic search and agent/user/org scoping.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ycby8l0hi8)
- **Repository:** <https://github.com/AlekseiMarchenko/central-intelligence>

## 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": "alekseimarchenko-central-intelligence"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alekseimarchenko-central-intelligence` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alekseimarchenko-central-intelligence/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