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All ideas/devtools/A SaaS platform that monitors and prevents infinite loops in AI agents through automated protocols detecting and halting anomalous execution states.
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A SaaS platform that monitors and prevents infinite loops in AI agents through automated protocols detecting and halting anomalous execution states.

Scouted 6 hours ago

7.4/ 10
Overall score

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Score breakdown

Urgency8.0
Market size7.0
Feasibility8.0
Competition4.0
The pain

AI agents can enter infinite loops generating recursive paths or calls, causing failures and excessive resource consumption.

Who'd pay

Companies and developers deploying AI agents or automation tools needing execution control to avoid failures and high costs.

Signal that triggered it

"If the agent observes recursive generation or identical tool calls failing N times (e.g., path lengths expanding monotonically with identical suffixes), it MUST trigger a HARD STOP and engage the Metacognitive Rewind Protocol or escalate via Extrinsic Escalation Protocol (Vector Exhaustion)."

Original post

Analysis: Agent Runaway Loop on File Extensions (build 24945084827)

Published: 6 hours ago

Repository: Cogni-AI-OU/cogni-ai-agents Author: github-actions[bot] ### Issue Analysis: Agent Runaway Tool Call Loop Context: In a recent build (EA31337/ansible-role-metatrader job 73077366532), the agent entered an infinite tool call loop. The log indicates it aggressively created read requests for recursive or hallucinated file extensions, such as: molecule/resources/playbooks/verify.j2.yml.j2.yml.j2.yml.j2.yml.j2.yml Root Cause: - Lack of self-correction or arrest mechanisms when the agent generates or attempts to read recursively identical strings or paths. - AGENTS.md and FLOWS.mmd currently lack explicit guidance on identifying runaway state (such as tracking consecutive identical failures or progressively expanding string patterns). Proposed Improvements: 1. Update FLOWS.mmd to introduce an Agent_Loop_Arrest_Protocol that triggers a hard stop after N consecutive recursive failures. 2. Update AGENTS.md to enforce self-reflection rules that abort vectors with repetitive outputs yielding no progress. Impact: Implementing these circuit breakers will prevent massive token burn and timeout failures caused by unhandled agent hallucination loops.

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