# genesys-memory

> genesys-memory — rishimeka-genesys. Use this tool when you need to manage and retrieve memories for AI agents, solving problems of information overload and irrelevant data by scoring and connecting memories in a causal graph. It takes in memories and their relevance, connectivity, and reactivation scores as inputs, and outputs recalled, searched, or explained memories through its 11 MCP tools. Use genesys-memory in contexts where AI agents require efficient memory management and retrieval, such as decision-making, learning, and problem-solving tasks.

Canonical page: https://skillsregistry.net/skills/rishimeka-genesys  
JSON: https://api.skillsregistry.net/v1/skills/rishimeka-genesys

## Description

Causal graph memory engine for AI agents. Scores memories using relevance × connectivity × reactivation, connects them in a causal graph, and actively forgets irrelevant ones. 11 MCP tools
including store, recall, search, traverse, and explain.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ja6e1s71b8)
- **Repository:** <https://github.com/Astrix-Labs/genesys>

## 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": "rishimeka-genesys"
    }
  }
}
```

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