# AI Memory Protocol

> Use this tool when you need to manage and query conversation context, storing and retrieving structured data for informed decision-making. It solves problems of knowledge fragmentation and contextual understanding by combining human-readable documentation with machine-queryable data, supporting use cases like meeting notes, project tracking, and knowledge base management. The AI Memory Protocol takes in various data sources, including Git commits and discussion transcripts, and outputs structured reStructuredText files with graph-based relationships and hierarchical tagging.

Canonical page: https://skillsregistry.net/skills/bburda-ai-memory-protocol  
JSON: https://api.skillsregistry.net/v1/skills/bburda-ai-memory-protocol

## Description

Stores conversation context as structured reStructuredText files using Sphinx-Needs directives, combining human-readable documentation with machine-queryable data. Supports typed memory entries (observations, decisions, facts, preferences, risks, goals, questions) with graph-based relationship tracking (relates, supports, depends, supersedes, contradicts), hierarchical tagging, confidence scoring, and automatic stale detection. Provides a CLI with 16+ subcommands and autonomous capture from Git commits, CI logs, and discussion transcripts.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bburda-ai-memory-protocol)
- **Repository:** <https://github.com/bburda/ai_memory_protocol>

## 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": "bburda-ai-memory-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bburda-ai-memory-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bburda-ai-memory-protocol/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