Axon is a hosted execution engine for autonomous AI agent loops. Define an objective, register your tools, and let the agent reason, act, and self-correct in a continuous loop until it succeeds.
Give your agent a goal in plain language. Axon converts it into a persistent execution state with step tracking, history, and a tool registry.
The core reasoner evaluates the objective, selects tools, invokes them, and assesses results. Every decision is logged. Every tool call is traced.
If a tool fails, the error flows back into context so the agent can adjust strategy. When the objective is met, it terminates with a full execution report.
Every loop iteration is tracked. Objective, steps taken, max steps, execution history, tool registry. Full state persistence across sessions. Resume where you left off.
Register any tool your agent needs. Python sandbox, API connectors, data parsers. Strict, decoupled execution with stdout/stderr capture and isolated environments.
When tools fail, tracebacks feed directly into the agent's context window. No silent failures. The agent sees exactly what went wrong and self-corrects in the next cycle.
Watch your agent think. Every reasoning step, tool invocation, and state transition streams to your dashboard. Full observability into the autonomous loop.
One plan. Everything included.
5 agent loop runs per month. Full persistent state, real-time streaming, and error recovery on every run.
LangChain is powerful but demands heavy engineering. Zapier is simple but can't reason. Axon is the hosted middle ground: configure your agent loop through a web interface, with the state machine architecture and error recovery that production systems demand.
Autonomous execution. Zero boilerplate.