The open standard for runtime agent control — declarative hooks, policy enforcement, and observability across AI agent frameworks.
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Updated
Jun 16, 2026
The open standard for runtime agent control — declarative hooks, policy enforcement, and observability across AI agent frameworks.
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
AxonFlow governance for Cursor IDE — block dangerous commands, govern MCP queries and command execution, and keep audit trails for production coding agents
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.
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
A production-grade operating core for AI agents. Nucleus defines purpose, boundaries, runtime control, adaptation, lineage, and protocol for governed AI systems.
Governance layer for token-scoped authority and policy enforcement.
Execution Constraint Engine (ECE) is a runtime decision layer for multi-step LLM workflows. ECE (v1) focuses on cost constraints, acting as a guardrail for unbounded execution in loops, agents, and multi-step systems. It evaluates projected cost before each step and stops execution before exceeding a defined budget.
Official Rust SDK for AxonFlow — runtime control, MCP policy enforcement, approvals, and audit trails for production AI
Official Go SDK for AxonFlow — runtime control, MCP policy enforcement, approvals, and audit trails for production AI
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
Official TypeScript 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
Aegis full-scope demo showcasing runtime control for AI workflows across RAG, LLM, and multi-agent coordination with measurable improvements under stress.
Runtime enforcement gateway for autonomous AI agents with behavioral drift blocking
Execution-layer infrastructure for autonomous AI systems through Operational Representations, Execution Intelligence and Runtime Control.
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