Readeck

An agent runner that halts execution when a configured iteration limit is reached. The message Agent stopped due to max iterations. indicates the system enforces a hard iteration cap to avoid runaway or looping behavior. This reduces wasted compute and surfaces stuck agent workflows quickly.

This is for developers and teams running autonomous agents or automation scripts. It helps with debugging, resource control, and preventing infinite loops during local experiments or production runs that loop unexpectedly.

Use Cases

• Local development and debugging of autonomous agents.
• Personal server experiments and incremental testing.
• Continuous integration checks for agent behavior regressions.
• Short-lived automation tasks that must be bounded.
• Research experiments that need safe iteration limits.
• Edge deployments where runaway loops must be prevented.

Strengths

• Enforces iteration limits to prevent runaway processing.
• Provides clear stop signal for stuck agent workflows.
• Saves compute by terminating long-running loops early.
• Makes debugging deterministic by bounding execution length.
• Integrates with logging to surface termination reasons.
• Suitable for self hosting when local control matters (assume Coolify trivial).

Limitations

• Can terminate legitimately long tasks without nuanced tuning.
• Requires configuration to balance progress versus safety.
• May produce false positives for complex, multi-step agents.
• Does not by itself diagnose root-cause for halted agents.

Final Thoughts

Try self hosting now if you need direct control over execution limits and local debugging. It is valuable when you must restrict agent runs and inspect termination reasons immediately.

Choose a managed cloud when you need scalable infrastructure, SLAs, centralized logging, and operator-managed reliability. A cloud option adds scaling and operational support beyond local iteration controls.