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Agent guardrails with decision models

General-purpose safety layers around agents that combine several typed checks into a pass, block or escalate policy.

132 public projects · page 5 of 5

  • DeepSeek Harness plugin with jev_decision tools, an opt-in risk and loop auto-guard, and a live self-test benchmark against the Jev API.

    BenchmarkbetaTypeScript
  • Benchmark of Jev versus Claude Haiku 4.5 as input safety classifiers on jailbreak, evasion and benign pseudo-harmful prompts.

    BenchmarkresearchPython
  • Paper and benchmark testing Jev as a zero-shot detector of AI alignment failures across 44 benchmarks and ten failure types.

    BenchmarkresearchPython
  • Korean tutorial: 13 notebooks and a sample app attaching Jev to DeepAgents for tool choice, guardrails and risky-action gates.

    ArticleprototypePython
  • Xano template for an agent tool-call guardrail in which Jev decides and Xano enforces.

    Project
  • AI decision reliability control plane that evaluates autonomous agent actions with Jev before they run.

    Project
  • Software development framework for coding agents that hands dependency vetting, completion gates and debugging decisions to Jev.

    Library
  • Paper introducing an adversarial benchmark for decision models: one appended opinion flips 12.1% of Jev 1.13 decisions.

    Paperresearch
  • OpenRouter cookbook recipe gating agent tool calls with deterministic checks plus Jev Noul probabilities and fixed thresholds.

    Articleproduction
  • X post reporting tests of Jev checking each agent action first, catching most attacks with almost no false blocks.

    Discussiondiscussion
  • Reddit thread in r/PiCodingAgent on using Jev as a tool-use safety layer and a prompt-complexity model router for Pi.

    Discussiondiscussion
  • Guillermo Rauch's X post: Jev reviews every command in Vercel's fx tool as a safety reviewer, faster and more accurate than a chat model.

    Discussiondiscussion