
AnythingGraph
Give your AI the right data, not all of it
AnythingGraph launched on June 8, 2026 with 2 votes.
What it does
AnythingGraph is a thin layer between your copilots and your systems of record: connect sources in place, define ontology and access in git, query through governed MCP — scoped answers with proof, not prompt stuffing. Ontology in minutes with your existing agent.
Build AI-ready knowledge capsules with AnythingGraph. Connect your existing systems, define governance once, reuse everywhere. Open-source semantic layer — ontology playbooks, MCP, query-in-place.
Connect your existing systems, define governance once, reuse everywhere. Four steps from live sources to governed agent answers — no warehouse dump, no glue per model. Governed queries over live systems — less token burn, less rework, answers you can ship to prod. Query only what the playbook needs — not millions of warehouse rows or document chunks in every prompt. Install, map a playbook to your sources, and connect MCP. Skip the data-lake and ETL project before your first agent answer. Records stay in Postgres, Salesforce, CSV, and APIs where they already live — no migration tax or sync pipeline to maintain. Early teams report cutting agent hallucinations when answers route through…from anythinggraph.com
Does a similar job
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Understand AnythingMay 2026 · github.com · ▲11Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. - Egonex-AI/Understand-Anything

TrustGraph – Do More with AI with Less (Open Source AI Infrastructure)2024 · github.com · ▲22Hi HN, We’re Daniel and Mark, the creators of TrustGraph (https://github.com/trustgraph-ai/trustgraph). TrustGraph is an open source, full end-to-end AI infrastructure that automates knowledge graph building and querying along with modular agent integration. A unique aspect of TrustGraph is that the graph building is a one-time process that builds reusable knowledge cores that can be stored, shared, and reloaded. You can read more about TrustGraph knowledge cores here (https://trustgraph.ai/docs/cores/). Throughout our careers, we’ve been faced…
- ODOntology-driven knowledge graph extraction from textNov 2025 · ▲13
TrustGraph now supports automatic knowledge graph construction guided by OWL ontologies. You provide an ontology (OWL/Turtle format or build one in the Workbench editor), point it at your documents, and it extracts entities and relationships that conform to your schema. The problem this solves: generic GraphRAG approaches extract whatever relationships an LLM thinks are relevant, which often misses domain-specific semantics. If you're working in healthcare, finance, or intelligence analysis, you likely already have ontologies (or can adapt standards like SOSA, FIBO, etc.) that define…

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