# flux7-memory

> flux7-memory — ktcrisis-flux7-memory. Use this tool when you need to manage and retrieve knowledge for AI agents, solving problems of information governance and retrieval. It provides a hybrid markdown and SQLite database with full-text search, vector search, and large language model reranking capabilities, accepting input via MCP stdio, HTTP, and SSE, and outputting relevant information. Ideal for use cases requiring efficient and scalable knowledge management, such as AI training data storage and retrieval.

Canonical page: https://skillsregistry.net/skills/ktcrisis-flux7-memory  
JSON: https://api.skillsregistry.net/v1/skills/ktcrisis-flux7-memory

## Description

Governed multi-agent memory for AI agents — hybrid markdown+SQLite, FTS, vector search, LLM reranking. One Go binary, MCP stdio + HTTP + SSE.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/KTCrisis/flux7-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": "ktcrisis-flux7-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ktcrisis-flux7-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ktcrisis-flux7-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