# Super-Memory-TS

> Use this tool when you need to enhance AI assistants' memory and search capabilities, solving problems of knowledge retrieval and project code organization. Super-Memory-TS takes in project code and memories, and outputs relevant search results using embeddings and vector search. Ideal for use cases where AI assistants require efficient storage and retrieval of memories and project information.

Canonical page: https://skillsregistry.net/skills/veedubin-super-memory-ts  
JSON: https://api.skillsregistry.net/v1/skills/veedubin-super-memory-ts

## Description

Local-first semantic memory server with project indexing for AI assistants. It enables AI assistants to store, retrieve, and search memories and project code using embeddings and vector search.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lx10tvsel0)
- **Repository:** <https://github.com/Veedubin/Super-Memory-TS>

## 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": "veedubin-super-memory-ts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/veedubin-super-memory-ts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/veedubin-super-memory-ts/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