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A persistent memory layer for AI data agents, built on DataHub — every resolved schema incident becomes institutional memory the next agent inherits.
When your data pipeline breaks at 2am, the SWAT team is already on it.
The code remembers what. RationaleOps preserves why.
RecallOps uses DataHub context, PostgreSQL agentic memory, and validated AI investigation to turn data alerts into safe, human-approved next steps.
When data breaks, agents just restate the symptom. AgentsMeristem walks the DataHub lineage to the root cause, writes it back as an incident, and runs as a local 7B any agent can call over MCP.
Compile governed DataHub metadata into deterministic, source-row-free test assets with independent proof, a caught negative control, and verified MCP writeback.
An accessible, context-aware AI agent using DataHub MCP to index, validate, and structure educational audio data for visually impaired students.
Automate data reliability checks with metadata intelligence – DataGuardian scans datasets, assesses production risks, and proposes fixes before they break downstream pipelines.
AI birthday video maker for wishes, invitations, and share-ready MP4s.
Convert MP4 video to editable, timestamped transcripts and subtitle files online.
When another team redefines a field, nothing errors — your models just quietly start returning wrong numbers. This agent reads DataHub on every PR and names whose assumptions break before merge.
Governance-aware Java and Rust generation grounded in DataHub MCP context.
The root-cause investigator for your data ecosystem: Majestic walks DataHub's lineage graph, finds the evidence-based cause behind broken data, and remembers it for next time.
Servilia turns DataHub metadata into AI access decisions—allow, approve, or deny—while auditing quality for safer, explainable governance and continuous improvement.
BioPathAI is an agentic AI platform that accelerates microbial pathway engineering using autonomous agents, knowledge graphs, real-time analytics, and predictive AI for faster biofuel discovery.
An AI incident crew whose postmortems are written into DataHub, so the next investigation starts from what the last one learned.
An AI agent that reads your DataHub lineage and metadata to generate Airflow 3 DAGs - with quality checks, freshness gates, and PII audits wired in from your tags and glossary.
Derives each production model's data contract from DataHub lineage, catches silent upstream breakage, ranks it by which live deployments inherit it, and writes assertions and tags back to the graph.
An intelligent, voice-and-command-driven OS core that bridges local file systems with Google’s Vertex AI. Nexus-ready automation for seamless cloud-local workflow management.
An AI agent that analyzes every pull request, simulates its downstream impact using DataHub's lineage graph, and proposes a fix before a breaking change ever reaches production.
Autonomous context-aware self-healing swarm engine for schema drift detection, process isolation, sandbox validation, and cryptographic provenance.
"An AI agent that traces data incidents through DataHub lineage, alerts real owners, and writes the incident back to the graph."
AI Suggests. Teachers Decide.
FlowJury is a agent that investigates complex data pipelines and recommends safe actions to reduce waste and protect critical workflows.
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