Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
🔥🔥 Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
A source-backed Jev / System One knowledge map: projects, papers, evaluations, robotics, and social discovery.
Provider-neutral System One runtime for TypeScript and Pi
A source-reviewed gallery of JEV-related projects with 50+ GitHub stars — integrations, tools, open models, experiments, and ecosystem resources. Live gallery: beatapi.io/awesome-jev
The most complete gallery of what people build with Jev, TypeSafe's System One model: 3,400+ projects, demos, and write-ups by scenario, each with its original link, image, and description.
Research design for a Jev-native agent system:enable more options than jev provided with virtulization and paging, tool integration, external helper logits Top-k proposals with Jev-controlled fallback ,decision-aware hierarchical memory, and dependency-aware replanning.
Independent, reproducible benchmark: a decision model (jev), eight constrained LLMs, and deterministic baselines on typed decisions - accuracy, calibration, latency, cost, failure modes
Self-hosted, Jev-compatible decision-model API — one /v1/systemone endpoint, open weights (Laya, kev), one Docker image per engine.
Run fast, typed AI decision models behind one API. Choice, score and yes/no decisions with multiple engines and hardware backends.
ReflexBench — open benchmark and evaluation harness for System One models and typed decision engines
What can Jev actually do? Reproducible experiments and research reports exploring its capabilities and limits.
Seven decision models, measured as the candidate list grows, the option order changes, and the wrong answers stop being obvious.
Open schemas, recipes, templates, examples and agent tooling for Brida Reflex.
Bud Decision studio is an easy to use cross platform desktop application & serving system for Jev like models locally.
The decision plane for AI agents. Rules and small calibrated models make the routine decisions, the LLM is reserved for the steps that need thought, and every step is traced.
Local decision models for typed choices, scores, and yes-no calls. Run Laya, Von, and CLM through TypeSafe-compatible HTTP and MCP.
Curated directory of real-world tools, interactive video teardowns, empirical benchmarks, and fast System One decision models.
Daily curated Jev AI projects, System One community models, and real-world use cases.
Black-box reverse engineering research archive for the Jev decision model
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