Jev Agent Kit
CLI and MCP tools for agents using TypeSafe Jev to make fast typed decisions: route, triage, guard, grep, rank, compact, and judge. Includes runnable use-case demos and an offline evaluation script.
OPEN SOURCE · CURATED REPOSITORIES
Curated Jev SDKs, tools, demos, integrations, benchmarks, and research projects. Repository metrics come from GitHub; titles, summaries, and categories are editorial.
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CLI and MCP tools for agents using TypeSafe Jev to make fast typed decisions: route, triage, guard, grep, rank, compact, and judge. Includes runnable use-case demos and an offline evaluation script.
Dart client for Jev (TypeSafe AI System One model), supporting typed questions and optimized HTTP transport.
A drop-in rerank API server powered by TypeSafe AI's Jev model, compatible with Cohere, Jina, and Voyage rerank protocols for RAG stacks.
Provides evaluation and gateway tooling for TypeSafe Jev / System One-compatible decision models, including calibration metrics, threshold optimization, response validation, rate limiting, caching, circuit breaking, and audit logs. Community software independent of TypeSafe AI.
Independent JavaScript tool that calls TypeSafe AI's Jev API to resolve ambiguous joins between French public datasets, returning auditable candidates and review cases. Includes a local demo and tests; no live performance benchmark is claimed.
A Ruby linter that reads YAML rules phrased as plain-language questions and asks TypeSafe AI's Jev model to judge each file, reporting offenses based on the model's noul probabilities. Supports CI, pre-commit, and local runs.
Codex plugin that uses the TypeSafe Jev model to score tool calls and results during session compaction, then re-injects the verbatim kept history after compaction. Includes an npm library, tests, and demo, but the author does not recommend production use.
Ruby client for the TypeSafe AI Jev model API, supporting noul, choice, and score query types.
A Python CLI and library that applies a qualitative codebook to open-ended text using TypeSafe AI's Jev (System One), with a review queue, confidence intervals, and inter-rater reliability metrics.
Open-source hosted Jev workspace for evaluating JSON states against immutable DecisionPacks, with revocable aggregate reports and optional live inference via a user-supplied Jev key.
Review selected Figma copy with typed Jev criteria and exact TextNode citations.
Local decision studio that imports evidence, calls the TypeSafe Jev model for evaluation, preserves human review, and exports results.