engram
Provides semantic search for a local knowledge base using Pinecone and Gemini embeddings.
Best use case
engram is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Provides semantic search for a local knowledge base using Pinecone and Gemini embeddings.
Teams using engram should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/engram/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How engram Compares
| Feature / Agent | engram | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Provides semantic search for a local knowledge base using Pinecone and Gemini embeddings.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 🧠 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))
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