Magical landscape

AIThatNeverForgetsanIncident

0ms Amnesia
Continuous Graph Learning
3D Simulation
Outage Blast Radius

Stop losing the same infrastructure wars. MemOps ingests raw incident alerts, Slack thread retros, and post-mortems into a permanent, evolving 3D knowledge graph powered by Cognee Cloud.

Enter Workspace

Cognitive Capabilities

Beyond standard vector database lookup

3D Blast Radius

Render service dependency paths inside a WebGL force-directed graph. Track propagating failures and predict the cascading impacts of hardware and database outages.

Voice Copilot I/O

Dictate system queries naturally using browser Speech Recognition. Traverse memory indices and receive spoken feedback via text-to-speech engine outputs.

Weight-Tuning Feedback

Capture engineer adjustments on retrieved results. Relational edge weights adjust inside Cognee to make neural indexing smarter over time.

Integration Schema

Unified memory workflow control plane

01

Ingest

Alarms stream into remember() to enrich vectors and graphs concurrently.

02

Recall

Traverse multi-hop relationships with session memory contexts.

03

Mitigate

Trigger script commands to automate the recovery cycle.

04

Improve

Apply user feedback ratings to align memory retrieval vectors.

RDF Triple-Store Layering

Ontology-Grounded Incident Knowledge Graph

MemOps does not store raw unstructured text chunks. Every post-mortem, runbook step, and telemetry alarm is parsed against a custom subset of the ITIL/ITSM schema taxonomy.

Service → DEPENDS_ON → Service
Incident → CAUSED_BY → FailureMode
FailureMode → RESOLVES_VIA → Runbook
graph_traversal.py

MATCH (i:Incident)-[:CAUSED_BY]>(f:FailureMode)

WHERE i.severity = "critical"

OPTIONAL MATCH (f)-[:RESOLVES_VIA]>(r:Runbook)

RETURN i.id, r.steps LIMIT 10

7 incidents · 3 runbooks found

Ready to give your SRE team institutional memory?

Connect your incident management tools and let MemOps build the living knowledge graph of your infrastructure.