AxonFlow: Runtime control layer for production AI

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.

Chronos - self-hosted, MCP-native control plane for AI agents. Build agents visually or register external ones; broker every tool through one audited MCP gateway.

The open-source control plane for AI agents — skill routing, context governance, trustworthy execution, evidence, security, and multi-agent orchestration.

AxonFlow governance for OpenClaw agents — block dangerous tools, govern MCP access, and keep audit trails for production agent workflows

Independent verifier for signed AI audit exports and Permit-spec evidence

AxonFlow governance for Claude Code — block dangerous commands, govern MCP queries and command execution, and keep audit trails for production coding agents

Open specification for pre-execution AI action authorization records

Official Go SDK for the Keel AI control plane

Vidai — the AI control plane. Govern, cost and secure every enterprise LLM request, from within your own network. Self-install Docker releases.

AxonFlow governance for Cursor IDE — block dangerous commands, govern MCP queries and command execution, and keep audit trails for production coding agents

Official Terraform provider for the Keel AI control plane

AxonFlow governance for OpenAI Codex — enforce policy on terminal actions, add governed MCP checks, and keep audit trails for production coding agents

ACR Control Plane: runtime control & governance for agentic AI (six-pillar enforcement).

Advanced, modular, and enterprise-grade AI automation control plane combining Custom GPT Actions, n8n orchestration, Google Workspace workflows, and serverless OCR. Implements schema-driven, agent-based ingest, clean, analyze, and report pipelines with data normalization, conversion, audit logging, cron-based scheduling, & enterprise observability.

Personal AI control plane: 4-layer Toyota-inspired orchestration for multi-project agent fleets. DICE scoring, dispatch buckets, scope enforcement.

Open source AI sovereignty router for controlling where AI workloads run, where data goes, and how model execution is governed.

Three practical examples of AI guardrails: LLM guardrails, agent tool-calling authorization, and multi-agent governance patterns for enterprise AI systems.

Source-available governed AI control-plane architecture for evidence-gated proposals, staged execution, human review, certified resume, audited reentry, closeout ledgers, and exportable receipts. AI proposes. Humans decide. No AGI claims.

Official TypeScript SDK for AxonFlow — runtime control, MCP policy enforcement, approvals, and audit trails for production AI