An independent research lab in Kiel, Germany. We research collective intelligence on cognitive architecture — humans and machines together, on a structure that retains knowledge.
Every number on this page is backed by a public record, a passing test suite, or a reproducible build. Nothing here asks to be believed.
- In a controlled, same-budget benchmark judged by independent LLM judges, three of nine answer-quality head-to-head comparisons hold for ZenBrain against Letta, Mem0 and A-Mem — all three against A-Mem, the remaining six are ties, none lost (3 competitors × 3 judges, Bonferroni-corrected, version-matched) — and the paper also prints where it loses: retrieval-proper metrics to a competing system, an aggregate-F1 metric to lexical search.
- The memory library is extracted from a production platform (440K+ LOC, 12,000+ tests as of August 2026) — not a research toy. Releases are built in public CI, and the current version of every package is published to npm with build provenance, so it traces back to its commit.
- The research trail is fully public: open records with DOIs, an arXiv preprint, and defensive publications establishing prior art.
🧠 ZenBrain — dynamic agent memory
7 layers, FSRS spaced repetition, Hebbian learning, emotional tagging, sleep consolidation. Pure TypeScript, zero dependencies, tested in CI on Node 22, 24 and 26.
npm install @zensation/algorithms- Try it in your browser — runs the published code, no install.
- Packages:
@zensation/algorithms·@zensation/core·@zensation/adapter-postgres·@zensation/adapter-sqlite - Drop it into what you already use:
@zensation/mcpgives any Model Context Protocol client the seven layers as four tools;@zensation/ai-sdkis Vercel AI SDK middleware that recalls before the model call and stores the turn after it. - New here? Pick a good first issue or ask in Discussions.
🗳️ voteworth — the effective number of independent votes in an LLM judge panel
Measure error correlation in an LLM judge panel or voter ensemble, report the effective number of independent votes, and correct the majority vote for correlated voters — including the panel shape where it cannot. Closed-form, label-free, numpy only.
pip install git+https://github.com/zensation-ai/voteworth🤖 ZenAI — the platform it came from
The self-hosted AI OS ZenBrain was extracted from: 60 AI tools, multi-agent system, knowledge graph, real-time voice. Published as a frozen, readable snapshot (8 May 2026). Its terminal agent @zensation/cli is retired and deprecated on npm since 1 October 2026; the maintained memory tooling is @zensation/mcp.
- Preprint: arXiv:2604.23878 — ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
- Corpus: Open records on Zenodo — preprints, software / reproduction packages, datasets and notes, every preprint under CC BY 4.0, each with its own version and concept DOI
- Author ID: ORCID 0009-0001-1793-012X
- Prior art: defensive publications on Technical Disclosure Commons
- Benchmarks are reported with the protocol, the effect sizes and the cases where the system loses — including the metric on which a competing system wins.
- Library questions → GitHub Discussions
- Research, replication, consortium inquiries → research@zensation.ai
- Everything else → open-source@zensation.ai · zensation.ai
Company: ZenSation Enterprise Solutions · Kiel, Germany · Code: Apache 2.0 · Records: CC BY 4.0 / Apache 2.0