Developer Builds AI Incident Response Agent That Avoids Overconfident Fixes

A developer has built an open-source AI incident response tool called RecallOps, designed to assist engineers during on-call outages by referencing past incidents stored in memory. The agent uses Hindsight, an open-source memory system, paired with OpenAI's GPT-OSS-120B model served via Groq at a low temperature setting to prioritize accuracy over creativity. A core design principle is that retrieved past incidents are treated as evidence for comparison, not as ready-made solutions, preventing the model from blindly recommending fixes that may not match the current root cause. The prompt explicitly instructs the model to identify similarities and differences between past and present incidents before suggesting any action, and to flag uncertainty when evidence is insufficient. This approach was built to guard against a specific failure mode where similar-looking symptoms lead to wrong fixes that can escalate a minor outage into a larger one.