Foundation for an open strong-agent platform: controllers, operators, skills, A2A, runtime, and graph execution.
-
Updated
Apr 23, 2026 - Python
Foundation for an open strong-agent platform: controllers, operators, skills, A2A, runtime, and graph execution.
AI-native machine execution language built on a Rust graph runtime.
C++20 single-process stateful dataflow runtime with graph validation, channel policy, CompositeLoop regions, and CLI tooling
Lightweight Go workflow graph runtime for building, running, and serving AI agent workflows with LLMs, tools, routing, schedules and webhooks.
Universal node-based execution engine for Symbiote workflows
Self-hosted federated runtime for observable coding-agent organizations: signed graph nodes, distributed runners, Nostr coordination, and git-backed artifacts.
Public website and documentation for Entangle, the self-hosted federated runtime for observable coding-agent organizations.
Ontology prototype graph runtime, parsers, simulation, and tests for Buffaly and ProtoScript.
A ultra-high-performance, zero-allocation C99 heuristic engine designed for real-time DAG routing and stream analysis. Replaces $O(N^2)$ operations with $O(N)$ State Collapse extensions, optimized via 32-byte aligned AVX2 SIMD intrinsics for sub-millisecond edge execution
Add a description, image, and links to the graph-runtime topic page so that developers can more easily learn about it.
To associate your repository with the graph-runtime topic, visit your repo's landing page and select "manage topics."