# consolidation-memory

> consolidation-memory — charliee1w-consolidation-memory. Use this tool when you need to store and recall knowledge across sessions, enabling AI agents to learn and improve over time. It solves problems of knowledge retention and consistency by providing a local-first persistent memory solution. With inputs of agent experiences and outputs of consolidated knowledge, use consolidation-memory in contexts where AI agents require continuous learning and improvement, such as coding agents and MCP clients.

Canonical page: https://skillsregistry.net/skills/charliee1w-consolidation-memory  
JSON: https://api.skillsregistry.net/v1/skills/charliee1w-consolidation-memory

## Description

Local-first persistent memory for AI agents — store, recall, and consolidate knowledge across sessions using FAISS, SQLite, and any LLM. MCP server for coding agents and any MCP client.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/charliee1w/consolidation-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": "charliee1w-consolidation-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/charliee1w-consolidation-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/charliee1w-consolidation-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