Durable execution for AI agents and services. Submit once. Get result later.
Submit once, track lifecycle, complete later. Replace polling, webhook glue, and Temporal complexity with one protocol for all your workflows — AI-driven or not.
Alpha · Quick Start · cloud.axme.ai · hello@axme.ai
Quickstart, SDK examples, ScenarioBundle, MCP integration, and the full repository map.
Python · TypeScript · Go · Java · .NET · CLI
Docs · Examples · MCP Server
LangGraph agents that coordinate across machines with durable execution, retries, and human approval.
Python 1
A2A protocol enables agent communication. AXME adds durable lifecycle, retries, timeouts, and human checkpoints.
Python 1
AXP Intent Protocol specification — lifecycle states, delivery semantics, contract model. Open protocol.
Python
API reference, integration guides, architecture docs, and MCP connector setup for AXME Cloud
Python
Python SDK for AXME — send intents, listen for deliveries, resume workflows. pip install axme
Python 1
Runnable examples: delivery bindings, human approval flows, multi-agent workflows, durability scenarios — 5 languages
Your AI agent is sending 10,000 emails and you can't stop it. AXME adds an instant kill switch.
You have 50 agents running and no single place to see them all. AXME gives you a real-time fleet dashboard.
Your agent stopped responding 2 hours ago. Nobody noticed. AXME adds heartbeat monitoring with automatic health detection.
Your AI agent spent $500 on OpenAI overnight. AXME tracks cost per agent with budget limits.
3 of your 20 agents crashed and you found out from customers. AXME monitors agent health with automatic heartbeat checks.
Gateway-enforced action policies for AI agents. Allowlist/denylist what your agents can do - enforced at the network level, not inside the prompt.
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