RecallOps: open-source incident-response agent uses persistent memory to recall failed fixes
suhas2228 · reddit · 2026-09-28
The author open-sourced RecallOps (MIT license) to solve a concrete pain point in LLM-based incident response: without persistent memory, a model can reason about symptoms but not know which fixes worked or failed in similar past incidents.
- Architecture: Hindsight serves as the memory layer; the flow is receive context → recall relevant historical incidents (combining semantic, keyword, graph, and temporal retrieval) → synthesize via Hindsight reflection → separate facts from hypotheses → flag historically failed remediations → require human approval before production changes → retain verified outcomes for future use.
- Example: a Payment Service incident with HTTP 503s, Hikari pool exhaustion, high PostgreSQL CPU, and downstream FraudCheck latency. One historical fix (larger connection pool) worked; a similar one failed when downstream latency was the real bottleneck — raising the key question of how an agent should remember the conditions under which a remediation succeeded or failed.
- Author seeks feedback on representing failed fixes as memory, contradictory evidence, fact/hypothesis separation, retention policy, and mandatory human-approval points.
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