RecallOps — AI Incident Response Agent with Persistent Memory
Project Details
I built RecallOps, an AI-powered incident response agent that uses persistent memory to help analyze recurring production incidents. What it does When a production incident occurs, RecallOps follows this workflow: Incident → Recall → Analyze → Resolve → Remember It retrieves relevant previous incidents from persistent memory and provides that context to an AI model while analyzing the new incident. For the demo, the first incident involved increased API latency and database connection er
Similar Projects
Built a micro-tool to turn raw topic ideas into complete, modular course blueprints — roast my UX.
Turn any topic or PDF into a complete e-learning course – modules, lessons, activities, an...
I got fed up with social media software becoming giant marketing suites, so I built the scheduler I
Schedule and publish social media posts with AI. Postdom is the fast, modern social media...
Launched: infinite graffiti wall (1usd/tile) — Stripe + Next.js + two Postgres tables
An endless public graffiti wall. Buy a piece for a dollar, paint it, and your mark is up f...
Dictivo: local dictation for Mac and Windows, with an optional cloud mode
Set up Dictivo Local, try a short email or AI prompt in a private practice field, and fix...
Airy TTS – A fast, low-cost TTS API built for full-response latency
Airy Studio offers free text-to-speech for creators. Airy API is the fastest, cheapest TTS...
Need people to try your project? I struggled with that too, so I built Reponite.
Find real beta testers for your app, SaaS, game or AI tool. Collect structured feedback an...