Building an Agent That Learns from Every Interaction with Hindsight
Building an Agent That Learns from Every Interaction with Hindsight Picture the 3 a.m. version of this. An alert fires, you open your incident response tool, and the assistant says: "This looks like INC-214: connection pool exhaustion, fixed by raising max_connections." You go looking for INC-214 in your issue tracker. It doesn't exist. That failure mode is why I built MemoryOps. To be clear,…
MemoryOps is an AI-powered incident response platform designed for DevOps and SRE teams. It provides a dashboard, incident creation, investigation, and memory explorer views through a React frontend built with Vite and Tailwind CSS. The backend is powered by FastAPI and relies on SQLite for the system of record, storing incident data in incidentiq.db.
Hindsight serves as a persistent memory layer for incident learnings, while Groq Cloud LLM (openai/gpt-oss-20b) functions as the AI reasoning engine. The system architecture includes React UI, FastAPI backend, SQLite database, Hindsight memory layer, and Groq LLM reasoning engine.
The workflow begins when an engineer declares an incident via a POST request to /api/v1/incidents. Navigating to the investigation page triggers a POST request to /api/v1/incidents/{incident_id}/analyze. The backend recalls relevant past incidents from Hindsight, passes them along with current symptoms to Groq LLM, and presents evidence-backed recommendations. Upon resolving the incident via a POST request to /api/v1/incidents/{incident_id}/resolve, the incident learnings are retained in Hindsight.
MemoryOps utilizes Hindsight's RETAIN, RECALL, and REFLECT mechanisms to manage incident experience documents. SQLite handles real-time incident data, while Hindsight stores structured experience documents. Incident creation triggers an investigation, which may involve recalling past incidents from Hindsight. Relevant memories are then delivered to Groq LLM for AI analysis. When the incident is resolved, its learnings are retained in Hindsight using the RETAIN mechanism.
Three distinct memory states are explicitly exposed in MemoryOps: ok (successful recall of historical memories), empty (no matching memories found), and unavailable (Hindsight service offline or unconfigured). If Hindsight is unavailable, MemoryOps does not query the SQLite incident records, maintaining them as system-of-record entries. This ensures that AI-generated fallback memories are avoided, and engineers can trust the evidence presented during incident investigation.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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