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Twin is chaos engineering for data platforms. It reads your Datahub graph, breaks a real copy of your warehouse, checks whether the catalog predicted the damage and writes the verified truth back.
Privacy-first AI that detects human risk, uses DataHub to trace the data and model behind predictions, and explains the evidence and recommended action.
Buyer and seller agents turn live evidence into safe software decisions, powered by CockroachDB and Amazon Bedrock.
Data quality tools watch your data. Nobody watches whether the documentation is still true. This open-source DataHub agent does, judging context, not schema diffs.
DataSentinal is an AI-powered data governance platform that detects sensitive data, analyzes data quality, maps relationships, and delivers actionable insights for smarter, safer data management.
GDPR erasure, powered by an agent that helps your data forget.
An AI agent that uses DataHub metadata and lineage to detect ML pipeline risks, explain why a model is at risk, and recommend actionable fixes before deployment.
Seven cancer-context digital twins where DataHub-grounded agents detect unsafe ML conditions, block consumers, repair governed data and write reusable knowledge back.
MCPatch uses DataHub context to find which AI agents break after an MCP/API change, repair the right repositories, verify the fixes, and prepare safe draft PRs for human review.
Build your AI team. Orchestrate specialized agents to code, research, analyze, reason, and create using real AI models in one powerful workspace.
An autonomous DataOps agent that finds broken pipelines, traces the root cause through upstream lineage, and writes native incident tickets directly into DataHub.
A DataHub-powered release-safety agent that uses live metadata and lineage to detect blast radius, assess risk, and stop unsafe data-platform changes before deployment.
**Data Doctor** is an AI-powered data reliability assistant that automates this entire investigation in 30 seconds.
A closed-loop incident agent for DataHub: proves root cause from the lineage graph, refuses when the evidence is insufficient, and writes verified incident knowledge back as first-class metadata.
Two agents that trace what a schema change breaks and why a metric moved, then write the answer into DataHub. Ask again: 0 tokens, because the catalog already knows.
DHCP gives governance evidence an address. It maps DataHub metadata to evidence for AICM, GDPR, HIPAA, ISO 27001/42001, and SOC 2, then safely writes approved context back without grading compliance.
Your agents keep asking for tables that don't exist. Nobody writes that down. Nullspace makes DataHub record it: what they wanted, who asked, and how many are waiting.
An AI agent that answers from real graph evidence, not guesses — now grounded in live DataHub metadata too.
An agent that reads real schema & lineage from DataHub via MCP, then writes dbt docs and PR descriptions grounded in that data — no hallucinated columns, no guessed lineage
Blast Radius is a GitHub native checker for data PRs. It walks DataHub's lineage to find what a schema change really breaks down to live ML models
The DataHub MCP agent that compiles breaking warehouse DDL into a provable, owner-routed migration plan.
contextIsKey uses DataHub’s context graph and MCP to map requirements, trace cross-domain impact, generate investigation SQL, and produce evidence-backed fixes before data changes cause outages.
A free platform that helps students and developers learn programming through structured roadmaps and carefully curated resources.
Give AI sellers a DataHub-shaped memory of x402 APIs, USDC products, and settlement rails.
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