Simulation environment for testing and validating autonomous agents
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Updated
Mar 13, 2026 - Python
Simulation environment for testing and validating autonomous agents
A community catalog of autonomous agents and bundles certified by passing TraceCore deterministic episode runs in public CI
ComplyC is a configurable coding-guideline compliance engine for safety-critical embedded C. It analyzes source code using AST, detects rule violations, enforces style standards, and generates clear compliance reports for automotive and embedded software teams.
Per-prompt token analytics for Claude Code. See exactly which prompt consumed what, why it was expensive, and how your context window fills up.
Verification layer for autonomous coding agents: an agent must prove a change is safe, with a tamper-evident audit trail, before it gets applied. Built for the IBM Bob 2.0 Hackathon.
AI-powered VS Code extension using local Ollama models for inline code completion — a free GitHub Copilot alternative
Local-first CLI for mocking HTTP APIs with YAML, JSON, and CSV-backed datasets
Battle-tested, vendor-neutral agent skill for SDK engineering — assess, design, create, modernize, and release SDKs across any language, framework, runtime, or delivery model. Consumer-first, evidence-led, with phased approval gates and bundled validation tooling.
Deterministic runtime verification layer for AI coding agents (Claude Code, Cursor, Aider). Stop AI agents from claiming done before tests pass.
🚀 Futuristic, ultra-fast Windows Git workstation utility. Automate Git commits, 1-click auto push to GitHub, auto bump semantic versioning, perform deep repository self-analysis, and revert commits safely.
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