#ai-governance

Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.

An orchestration runtime for multi-agent AI systems. Declare agents, tools, and policies as YAML; Orloj schedules, executes, routes, and governs them for production-grade operation.

A runtime for reliable multi-agent systems with durable workflows, resumable execution, and human-in-the-loop control

Open-source security-first runtime for AI agents that learn and act across sessions.

A dependency-free Go library for auditing and detecting emoji clutter, removing or substituting it, and normalizing unnecessary whitespace in text content. It is built for post-processing AI agent output, sanitizing AI or user-submitted content, and functioning as a CI quality gate

Open source Enterprise AI Gateway for API, MCP and agent, and AI model traffic. One Apache-2.0 binary: 72 native providers behind an OpenAI-compatible API, or serve vLLM and llama.cpp on your own GPUs. Keys, budgets, guardrails, semantic cache, WAF.

The secure gateway connecting AI agents to enterprise systems.

The agent framework where the model never holds the trigger — every consequential action clears your policy first, waits for a human when it matters, and lands on a record you can verify. Build on it, or put it around the agent you already have.

AI Financial Governance SDK — every LLM call is a double-entry transaction

♾️ Umbrella php package and unified CLI for the governed agentic-coding loop: board (kanban), learning, and recall-compiler.

Zero-trust governance layer for Claude Code. Policy-enforced MCP gateway with autonomy controls, middleware chain, audit log, HALT kill-switch, and prompt-injection defense.

Production plumbing for LLM apps: context, cost, testing & governance — composable, framework-agnostic Python libraries.

Open protocol for scoring AI investments. JSON Schema, scoring engine, MCP server. Spec under CC-BY-4.0.

EgisAI SDK

Web4: an open standard for verifiable AI presence — LCT identity, T3/V3 trust tensors, MRH context, ATP/ADP. Rust + Python SDKs on crates.io/PyPI. AGPL-3.0-or-later.

Deterministic governance for Claude and MCP tool calls. Pin approved capabilities, detect drift, and refuse unsafe or unapproved actions before execution. No model in the decision path.

Native Post-Quantum Agent Messaging Protocol (N-PAMP): A 20 channel, wire binary, streaming protocol for AI Agents with hybrid post-quantum cryptography.

Enforces plan → code → tests → validate → docs discipline for AI coding agents (Claude Code, OpenCode).

Runtime control, security, and governance for AI agents — decide what an agent may do at the moment it acts, revoke that authority instantly, and keep tamper-evident evidence of every decision.

Runtime constitutional governance for autonomous AI agents: six gates, 12 hard constraints, and cross-session risk composition — escalates on the trajectory, catching agents that pass every individual gate but accumulate risk across a sequence. pip install constitutional-agent

Self-hosted agentic OS — a Vibe-Engineering platform for Builders. Connect Claude Code, Codex or Hermes Agent to Discord, Telegram, WhatsApp, Slack & Email. EU AI Act 2026 & GDPR compliance by architecture.

License Compliance Checker — Multi-ecosystem license + AI model scanner for EU AI Act Article 53 GPAI compliance. SBOM, SARIF, training-data risk. Apache 2.0.

AI Engineering Governance Platform — Session memory, feature registry, code intelligence, and rule enforcement for AI coding assistants.

Open-source agent security framework. Detects and defends against AI Agent Traps — content injection, embedded jailbreaks, RAG poisoning, data exfiltration, and more. Based on the DeepMind Agent Traps taxonomy.