GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Chipper is an AI interface tool for tinkerers that supports agentic-AI functionalities and LLM inference using Hugging Face models, including Phi4, with Haystack RAG for retrieval-augmented generation.
Good fit when
- When you require an environment that integrates with Ollama API.
- If your project focuses on leveraging agentic AI capabilities and you want to incorporate it with Python programming.
Avoid when
- When the development requires real-time processing that is not aligned with Ollama's APIs or RAG capabilities.
- If your project strictly adheres to proprietary AI interfaces, and external integrations like Haystack RAG are prohibited.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (123d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install chipperSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
TilmanGriesel/chipper offers an AI interface toolset that includes support for agentic-AI, embedding, LLM inference via Hugging Face models like Phi4, and retrieval-augmented generation.
Capability facts
- MCP server
- No MCP server detected
Source: repo_scan · Sep 20, 2026
- Languages
- python, javascript
Source: github.language+package.json+pyproject.toml · Sep 20, 2026
Categories
Tags
README
Installation and Setup Quickstart Or visit the Chipper project website
For agents
This page has a .md twin and JSON over the API.