# Engram

> Provides semantic search for a local knowledge base using Pinecone and Gemini embeddings.

- Skill: `kbarbel640-del/engram` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add kbarbel640-del/engram`
- Raw SKILL.md: https://api.skillmd.com/api/skills/kbarbel640-del/engram/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: kbarbel640-del (https://skillmd.com/u/kbarbel640-del)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/kbarbel640-del/engram

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# 🧠 Engram - Semantic Search Skill

This skill enables an AI agent to perform semantic searches on a local folder of Markdown files (e.g., an Obsidian vault). It finds information based on the meaning and context of a query, not just exact keywords.

## Tools

### engram_search

Searches the indexed knowledge base.

-   **`query`** (string, required): The natural language question to ask.
-   **`top_k`** (number, optional): The number of results to return.
-   **`min_score`** (number, optional): The minimum relevance score (0.0 to 1.0) for results.

### engram_index

Builds or updates the search index from the local Markdown files. This tool should be run periodically to keep the search memory synchronized.

## Author

-   **Andrie Wijaya** ([@Anwitch](https://github.com/Anwitch))