# subconscious-mcp

> Use this tool when you need to enhance an MCP agent's memory capabilities with a local-first semantic memory layer, enabling recall, remembering, and forgetting of information through standard input/output interfaces. It solves problems related to knowledge retention and retrieval, providing statistics and utilizing ChromaDB and sentence-transformers for on-machine processing. Ideal for applications requiring autonomous agents to learn and adapt from experience without relying on external memory stores.

Canonical page: https://skillsregistry.net/skills/vishaltorc-subconscious-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vishaltorc-subconscious-mcp

## Description

Local-first semantic memory layer for MCP agents. Recall, remember, forget, stats over stdio. ChromaDB plus sentence-transformers, all on-machine.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u8bsm2ffqd)
- **Repository:** <https://github.com/vishaltorc/subconscious-mcp>

## 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": "vishaltorc-subconscious-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vishaltorc-subconscious-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vishaltorc-subconscious-mcp/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