Releases·Tool Release
What Broke When Our Incident Agent Queried Hindsight Concurrently
A Medium post by an engineering team describes stress-testing their incident-response agent built on Hindsight memory under an alert storm of concurrent recall queries. Naive querying generated 140 outbound recall calls with 9,120 ms P99 latency; structural fingerprinting plus single-flight coalescing cut this to 4 calls and 185 ms P99. The writeup is a practical architecture lesson for anyone running agent memory under concurrent load.
1 engagement1 sourceMon, Sep 28, 2026, 05:05 PM
AI Overview
- A Medium writeup says single-flight coalescing plus structural fingerprinting cut an alert storm's 140 recall calls to 4 and P99 latency from 9,120 ms to 185 ms
Entities
Related
Products·launched
ResolveIQ: incident-response agent with persistent memory for diagnosing production incidents
ResolveIQ is an experiment testing whether persistent memory improves an LLM incident-response agent's diagnosis of production incidents. The agent recalls previous incidents via the Hindsight memory layer, uses them as evidence while investigating a new incident, and retains useful experience afterward. It targets on-call engineers and SRE teams evaluating memory-augmented agents.
ResolveIQ is an experiment testing whether persistent memory improves an LLM incident-response agent's diagnosis of production incidents. The agent recalls previous incidents via the Hindsight memory layer, uses them as evidence while investigating a new incident, and retains useful experience afterward. It targets on-call engineers and SRE teams evaluating memory-augmented agents.
3 engagement2 sourcesredditMon, Sep 28, 2026, 12:59 PM
Releases·Tool Release
How Hindsight's reflect() call caught two outages the author had forgotten while adding memory to an incident-response agent
How Hindsight's reflect call caught two outages I'd forgotten
How Hindsight's reflect call caught two outages I'd forgotten
1 engagement1 sourceredditSun, Sep 27, 2026, 02:03 PM
Products·building
Incident-response system turning chat messages into structured incidents with persistent memory
An incident-response system that converts natural-language incident reports into structured incident records stored in Hindsight persistent memory. A Qwen reasoning model retrieves similar historical failures when a new incident appears, supporting a Remember-Retrieve-Reason-Improve loop. Aimed at teams handling recurring operational failures.
An incident-response system that converts natural-language incident reports into structured incident records stored in Hindsight persistent memory. A Qwen reasoning model retrieves similar historical failures when a new incident appears, supporting a Remember-Retrieve-Reason-Improve loop. Aimed at teams handling recurring operational failures.
1 engagement1 sourceredditMon, Sep 28, 2026, 05:30 PM
Products·building
MemorySec: open-source incident-response agent with long-term memory of past incidents
MemorySec is an open-source incident-response agent that stores how past incidents were resolved as structured memory and recalls it when analyzing new ones. It uses Hindsight as its long-term memory layer, capturing attack pattern, root cause, remediation, outcome, and analyst feedback. It targets security teams whose agents otherwise start from zero on every new incident.
MemorySec is an open-source incident-response agent that stores how past incidents were resolved as structured memory and recalls it when analyzing new ones. It uses Hindsight as its long-term memory layer, capturing attack pattern, root cause, remediation, outcome, and analyst feedback. It targets security teams whose agents otherwise start from zero on every new incident.
1 engagement1 sourceredditMon, Sep 28, 2026, 08:01 AM