Deterministic safety solutions for probabilistic AI agents
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Updated
Jul 10, 2026 - Python
Deterministic safety solutions for probabilistic AI agents
An open-source agentic LLM gateway & router that optimize your agentic loops in your way, works with any harnesses, any models, any workflows.
Skill repository to enforce Engineering disclipline in coding assistants
MCP middleware that blocks dangerous AI agent actions using a simple YAML config
Deterministic tool-call guardrails for pi — enforce rules with before-tool hooks instead of prompts
Merge gates and safety checks for AI coding agents. Works with Claude Code, Cursor, Windsurf, Codex via MCP. Detect scope violations, missing tests, and risks before merge.
Secure every action your AI agents take (Claude Code, Codex, MCP). Blocks secret access, gates risky commands, and enforces allow/deny/approval before actions run.
Discipline hooks for Claude Code. Stops the agent from claiming 'done' without proof, blocks accidental writes to ~/.claude config, and routes prompts to skills via local pgvector with zero Anthropic tokens.
Deterministic finish-line gates for AI coding agents. A model-independent evaluator that blocks commit/publish until your definition-of-done passes. Works in opencode (any model), Claude Code, pre-commit and CI.
On-chain guardrails for AI agents — EIP-7702 spend limits, cryptographic execution receipts, automated dispute resolution. No agent should hold unguarded keys.
Portable runtime policy and audit layer for AI agents - HTTP/HTTPS proxy enforcing egress policies, inspecting content, materializing secrets, and recording every decision.
Semantic mistake-memory and guardrail for AI agents. Stops agents from repeating the same failures using causal graphs and semantic matching. Supports MCP, LangGraph, and in-process Python.
Runtime guardrails for AI agents that enforce token budgets, loop limits, and tool rate limits locally.
Deterministic governance engine for AI agents. Enforce rules defined in .md governance files across AI systems.
Teams and Solo Devs Claude Code hooks setup for observability and guardrails. Understand how skill, subagents, prompts are working and where is claude struggling to improve systematically
Local post-iteration gate for AI coding agents: govern dirty worktrees, git status, residue, allowed paths, evidence, and claim boundaries without running an agent.
Repo-level guardrails for AI-assisted development in any language: plan-back gate, blinded review gate, branch discipline, and session handover — self-contained .claude/, no plugin.
Who watches the agents?
Score the reach and risk of a code diff before merging. Flags diffs that commit secrets, touch auth, delete tests, change CI/CD or migrations, or widen dependencies. Offline pre-merge gate and Claude Code skill with a proof-carrying-ops receipt. Stdlib only.
Retired and archived. Historical reference only; not a supported Forge Orbital product or execution control.
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