# itsmostafa/system-one-connector > A Go MCP server that gives AI agents access to TypeSafe's Jev model: instead of parsing prose, the agent gets typed answers with probabilities it can branch on. One-command setup for Claude Code, Claude Desktop, Codex, and pi. - Magnitude: 1.4 out of 10 — Cooling - Stars: 303 total · +2 stars today, ≈ 3 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Go · License: MIT · Created: 2026-09-17 · Last push: 2026-09-25 - GitHub: https://github.com/itsmostafa/system-one-connector · Page: https://gitnova.dev/en/r/itsmostafa/system-one-connector ## Useful for - Register evaluate with Claude Code via the single command evaluate setup mcp - Ask the agent whether a ticket is urgent and get a probability plus team choice - Batch several independent questions over one state in a single evaluate call ## Why it’s here - 2 stars so far today, about 3 expected by the end of the day. - The repository is 8 days old and already has 303 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 33 - Issues and pull requests: 35 - Watchers: 2 - Average over the last week: 32 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 - Latest release: v0.4.6 (2026-09-25) ## Stars per day, last 13 days (oldest → newest, today is partial) 2026-09-13 … 2026-09-25: 0, 0, 0, 1, 36, 44, 38, 38, 74, 32, 24, 14, 2 ## Magnitude by day, last 8 days 09-18 3.9, 09-19 3.9, 09-20 3.3, 09-21 3.8, 09-22 4.1, 09-23 3.3, 09-24 2.6, 09-25 1.7 ## Similar by description 1. **razorback16/openjev** — 2.9 · Cooling · Language models · Python · +18 stars today, ≈ 22 by evening An open-source "System One" decision server on DiffusionGemma: send a state and typed questions (yes/no, choice, score) and get probabilities plus confidence in tens of milliseconds, with no text generated. Wire-compatible with TypeSafe's… Full card: https://gitnova.dev/en/r/razorback16/openjev.md 2. **kshetrajna12/reflex** — 1.5 · Steady · Language models · Python · +3 stars today, ≈ 4 by evening An open decision model: given a state (text, JSON, or image) and typed questions, it returns calibrated probabilities over fixed answer options. Runs on top of Qwen3.5 and answers with numbers instead of free text. Full card: https://gitnova.dev/en/r/kshetrajna12/reflex.md 3. **allebee/jevk5** — 3.8 · Early signal · Language models · Python · +4 stars today, ≈ 6 by evening An open-weight alternative to TypeSafe Jev: given a state (ticket, log, policy, diff) and a yes/no, choice, or score question, it returns a probability for every option in one forward pass with zero generated tokens. Qwen3.5-4B weights… Full card: https://gitnova.dev/en/r/allebee/jevk5.md 4. **receptron/laya** — 3.9 · Early signal · Language models · TypeScript · +29 stars today, ≈ 37 by evening TypeScript wrapper for running the open-source Laya System-1 decision model via ONNX Runtime: takes a state and typed questions, returns answers with calibrated probabilities in one forward pass. Full card: https://gitnova.dev/en/r/receptron/laya.md 5. **AnotiaWang/awesome-jev** — 3.3 · Peaking · Learning & lists · +67 stars today, ≈ 82 by evening A curated list of applications, libraries, and resources for Jev, TypeSafe's System One model that evaluates typed questions against a state and returns structured answers with probabilities. Full card: https://gitnova.dev/en/r/AnotiaWang/awesome-jev.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-25 19:26 UTC, updated every 30 minutes.