An end to end implementation of Graph Engineering as proposed by Andrew NG and Peter Steinberger
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Updated
Aug 13, 2026 - Python
An end to end implementation of Graph Engineering as proposed by Andrew NG and Peter Steinberger
DSPy-native autonomous AI agent runtime — describe your goal, Arachne weaves the agent graph, executes with full observability, and evolves on failure.
C++20 framework for LLM application and AI agent orchestration: typed components, Chain/Graph workflows, streaming, callbacks, and unified execution.
一个完整的Rust实现的图编排规范GOS (Graph Orchestration Specification) ,包括解析器,编译器,反编译器,AST,格式化等。
Graph-based cyclical agentic AI workflows with state persistence, branching logic, and tool routing via LangGraph.
Portable Codex skills for typed agent workflow graphs and evidence-linked visualization
Permission-safe prompt refinement and bounded graph orchestration for Codex, Claude Code, Cursor, and GitHub Copilot.
Practice workspace exploring LangChain workflows and AI application development.
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