An open-source graph engineering runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.
Graph engineering for AI agents: the 9-stage knowledge-graph pipeline (translated from SEU's graduate course) + task-graph orchestration patterns, as a Claude skill with teaching mode and paste-ready workflows
A Survey on Ontology Engineering, Graph Engineering, Loop Engineering, Harness Engineering, Context Engineering and Prompt Engineering
Graph Engineering, simplified β with GraphCode. #graphcode
Deterministic memory layer for your agents
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Personal-memory-driven AI work twin that uses Codex to work inside real projects.
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An end to end implementation of Graph Engineering as proposed by Andrew NG and Peter Steinberger
AI skill for typed, auditable workflow graphs, conditional routing, evidence-gated evolution, and validation. Includes full source, examples, and tests.
High-performance C++20 + Python engine for dynamic and incremental graph analytics on evolving graphs β BFS, SSSP, connected components, triangles, k-core and PageRank.