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Graph-Native Infrastructure for Context and Accountable AI Systems

Software Supply Chain Transparency Log

An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.

Deterministic orchestrator for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). No model in the coordination loop, so parallel runs in per-task git worktrees replay byte-identically. Signed lineage plus an opt-in HMAC audit chain a reviewer checks offline, without rerunning it. Cluster mode, air-gap deploy. https://bernstein.run

The official repository for the AiiDA code

An admission controller that integrates Container Image Signature Verification into a Kubernetes cluster

Effortless method to record provenance in Python

The black box for AI-written code. Passive decision graph linking every commit to the agent prompts behind it: drift detection, DLP audit of what agents read, evidence-driven risk, MCP memory for coding agents, signed provenance attestations. One command, offline by default.

Fail CI when dependencies in your lockfile lose npm provenance or trusted publisher status

Blue Brain Nexus - A knowledge graph for data-driven science

Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.

Content Seal is a state-of-the-art framework for invisible, robust watermarking across all modalities audio, image, video, and text. This suite spans the entire generative lifecycle, from training data and inference to generated media.

Log shell-commands and used files. Snapshot executed scripts. Fully automatic.

GitHub Action and CLI to validate, monitor, and publish verifiable skills (SKILL.md) via Registry Broker

An open-source, vendor-neutral data context service.

A Python library for W3C Provenance Data Model (PROV)

TrustMark - Universal Watermarking for Arbitrary Resolution Images

A framework for building provenance-based intrusion detection systems with neural networks (KDD'26, USENIX Sec'25)

Turn your scattered AI coding sessions into a queryable knowledge graph. Multi-platform (Claude Code, ChatGPT, DeepSeek, Grok, Warp), W3C ontology, Wikidata entity linking, SPARQL.