AxonFlow: Runtime control layer for production AI
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Updated
Jun 16, 2026 - Go
AxonFlow: Runtime control layer for production AI
The control plane for AI coding agents: budget caps, verifier gates, rollback evidence, and audit trails.
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.
AxonFlow governance for OpenClaw agents — block dangerous tools, govern MCP access, and keep audit trails for production agent workflows
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
AxonFlow governance for Claude Code — block dangerous commands, govern MCP queries and command execution, and keep audit trails for production coding agents
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).
Official Go SDK for the Keel AI control plane
Personal AI control plane: 4-layer Toyota-inspired orchestration for multi-project agent fleets. DICE scoring, dispatch buckets, scope enforcement.
Three practical examples of AI guardrails: LLM guardrails, agent tool-calling authorization, and multi-agent governance patterns for enterprise AI systems.
Independent verifier for signed AI audit exports and Permit-spec evidence
Official Python SDK for AxonFlow — runtime control, MCP policy enforcement, approvals, and audit trails for production AI
Official Terraform provider for the Keel AI control plane
Official TypeScript SDK for AxonFlow — runtime control, MCP policy enforcement, approvals, and audit trails for production AI
Official Java SDK for AxonFlow — runtime control, MCP policy enforcement, approvals, and audit trails for production AI
Official Rust SDK for AxonFlow — runtime control, MCP policy enforcement, approvals, and audit trails for production AI
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.
Open specification for pre-execution AI action authorization records
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