# Memwright

> Use this tool when you need to provide AI agents with persistent memory and efficient information retrieval, solving problems of knowledge retention and recall in applications such as conversational AI, entity tracking, and timeline analysis. Memwright takes in natural language queries and outputs ranked results, leveraging a combination of storage, semantic search, and graph traversal. It is ideal for use cases requiring local, token-efficient, and contradiction-aware memory management, with integrations available for various AI frameworks and libraries.

Canonical page: https://skillsregistry.net/skills/bolnet-memwright  
JSON: https://api.skillsregistry.net/v1/skills/bolnet-memwright

## Description

Provides persistent memory for AI agents using a three-layer retrieval system combining SQLite storage, pgvector semantic search, and Neo4j entity graph traversal. Results are ranked using Reciprocal Rank Fusion for token-efficient recall at 300-500 tokens per query. Supports contradiction detection, entity timeline tracking, and runs fully locally via Docker with integrations for Claude Code, Cursor, and direct Python library usage.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bolnet-memwright)
- **Repository:** <https://github.com/bolnet/attestor>

## 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": "bolnet-memwright"
    }
  }
}
```

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