# total-agent-memory

> total-agent-memory — vbcherepanov-total-agent-memory. Use this tool when you need to enhance AI agents with persistent memory for improved knowledge retention and retrieval. It solves problems of knowledge loss and incomplete context by providing auto-extracted knowledge graphs, multi-representation embeddings, and 3D visualizations. Ideal for use with Claude Code and Codex CLI, particularly when self-hosting or utilizing Ollama, to leverage its high-performance capabilities, such as LongMemEval R@5=97.45%.

Canonical page: https://skillsregistry.net/skills/vbcherepanov-total-agent-memory  
JSON: https://api.skillsregistry.net/v1/skills/vbcherepanov-total-agent-memory

## Description

Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5 95.1%, LoCoMo 0.607, BEAM 1M 0.448. 74 MCP tools, 9 IDEs, 100% local.

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/vbcherepanov/total-agent-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": "vbcherepanov-total-agent-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vbcherepanov-total-agent-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vbcherepanov-total-agent-memory/pull`

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