andyliszewski/grounding-ai
by Various
Local-first document corpus pipeline for grounded AI agents
MCP
andyliszewski/grounding-ai
Added 3 Sept 2026
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-aiTools exposed
CORPUS_DIREMBEDDINGS_DIRAGENTS_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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