TyKolt/kremis

A minimal graph engine for grounded AI — records, associates, and retrieves, but never invents. Written in Rust.

33
/ 100
Emerging

When working with AI agents or large language models, Kremis helps ensure factual accuracy by providing a verifiable memory layer. It takes your raw data, organizes it into a knowledge graph, and retrieves specific facts, confirming what's true and explicitly marking what's not in your original input. This is for AI practitioners, researchers, or compliance officers who need to guarantee that AI outputs are grounded in reality and free from invented information.

Use this if you need an AI system (like an agent or an LLM) to operate with a completely truthful, non-hallucinating memory, where every piece of information can be traced back to its source.

Not ideal if you need an AI that can creatively generate new information, infer relationships, or operate with probabilistic knowledge, as Kremis only records and retrieves explicitly provided facts.

AI-fact-checking LLM-grounding knowledge-graph AI-agent-memory data-provenance
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 11 / 25
Community 8 / 25

How are scores calculated?

Stars

8

Forks

1

Language

Rust

License

Apache-2.0

Last pushed

Mar 11, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/TyKolt/kremis"

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