Isomorphic agent tooling: author once, run anywhere. Build, lint, route, fan out, eval, trace, guard, contract, and ledger AI-agent workflows across Cursor, Claude Code, Codex, and OpenCode.

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

Your AI agent just burned $200. AgentGuard stops it at $5. Runtime cost guardrails for AI agents — budget enforcement, loop detection, kill switch. Zero dependencies, MIT licensed.

The open standard for runtime agent control — declarative hooks, policy enforcement, and observability across AI agent frameworks.

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

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

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

Governance layer for token-scoped authority and policy enforcement.

AI runtime control layer for enforcing spend, tool, and execution policy in production AI apps.

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

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

Open-source agent simulation and runtime control platform for Claude Code

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

Aegis full-scope demo showcasing runtime control for AI workflows across RAG, LLM, and multi-agent coordination with measurable improvements under stress.

A production-grade operating core for AI agents. Nucleus defines purpose, boundaries, runtime control, adaptation, lineage, and protocol for governed AI systems.

Runtime enforcement gateway for autonomous AI agents with behavioral drift blocking

A minimal control plane for AI execution — a missing layer that enforces decisions before actions run.