Kremis
For AI engineers: Kremis provides a verifiable knowledge substrate for agents so they query deterministic graphs instead of hallucinating answers.
Built by TyKolt · Artificial Intelligence · Developer Tools · Open Source · Free
In category: #1460 of 1986 · Artificial Intelligence
Kremis is a Instant Launch listing on Launch Llama with 2 upvotes from 2 founders, founded by TyKolt who joined in Jun 2026, compared against 6 alternatives.
Instant Launch listing
Listing status
2upvotes
Community score
TyKolt (Joined Jun 2026)
Founder
Compared against 6 alternatives
Market comparison
Launched on Launch Llama Jun 2, 2026 · #12 of 18 that day
About
Kremis is a verifiable knowledge substrate for AI agents: instead of generating answers and hoping they’re right, agents query a deterministic graph that returns honest output — facts, inferences, or an explicit unknown, never silent gap-filling — with every result traceable to a graph path and inspectable state hash; queries can also return a Verifiable Query Certificate, a deterministic reproducible object that can be re-run against the same graph state to re-verify the result, including certified unknown (proof of absence); shipped as an MCP server (queryable directly from Claude) and an HTTP API, open source (Apache 2.0), built in Rust, with in-memory or crash-safe persistent storage.
Key Features
- Honest output for facts, inferences, or "unknown"
- Deterministic for same input, same output
- Verifiable Query Certificates, reproducible proofs, incl. proof of absence
Use Cases
- Agent memory via MCP
- LLM fact-checking
- Provenance & audit trail
- Reproducible, re-verifiable query results (certificates)
Who it is for
For developers shipping LLM features who need knowledge they can trust
- AI agent developers
- Teams shipping LLM features
- Engineers who need auditable knowledge
- Claude / MCP users
Pricing
Free and open source (Apache 2.0). Self-hosted — no account, no usage limits, no telemetry.
Verdict
Kremis is experimental, alpha-stage — not a turnkey product. For developers tired of confident hallucinations, it takes a different approach from vector-store guesswork: a deterministic graph that answers with a fact, an inference, or an honest "I don't know", tracing every result back to the underlying data. Results can also be packaged as a Verifiable Query Certificate that another party can reproduce to independently re-check the answer. Small, inspectable, and open source.
FAQ
Is Kremis production-ready?
No — it's experimental and alpha-stage. Stable enough to build and test against, but the API may change.
What is a Verifiable Query Certificate?
A deterministic, reproducible record of a query result (introduced in v0.19.0). Given the same graph state, anyone can re-run it and get byte-identical output — even an "unknown" answer is certifiable as a proof of absence. Re-verification reproduces the canonical state, so it is not a standalone proof in isolation.
Alternatives
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Supporters
2 founders
2 founders contributed 2 upvotes to Kremis on Launch Llama.