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andyliszewski/grounding-ai

by Various

Local-first document corpus pipeline for grounded AI agents

MCP

andyliszewski/grounding-ai

Added 3 Sept 2026

#anthropic-mcp#embeddings#faiss#llm-tools#local-first#local-llm#mcp#ollama
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Overview

Local-first document corpus pipeline for grounding AI agents. It is a Python package that turns input documents into a reference corpus. The pipeline prioritizes keeping data on the local machine.

Best for

Best for
Developers building Python-based grounded AI agents that need a local-first document pipeline

Use cases

  • Indexing company documentation for an AI assistant
  • Preparing a personal corpus for retrieval-augmented generation
  • Creating an on-device reference repository for agent workflows

How to use

Install

pip install grounding-ai

Tools exposed

  • CORPUS_DIR
  • EMBEDDINGS_DIR
  • AGENTS_DIR

Clients listed in this record (not verified here)

Claude Code, Cursor, ChatGPT

Notes

1 stars on GitHub. Last updated 2026-06-05. Licensed MIT.

Pros

  • Local-first design helps keep private documents under your control
  • Python implementation fits well into existing agent tooling
  • Narrow focus on corpus construction keeps the codebase simple

Cons

  • Only 1 star on GitHub indicates very limited community adoption
  • Vendor is listed as Various so clear support and maintenance are unclear
  • Description covers the corpus only, with no details on retrieval or agent integration
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