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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
A lightweight, powerful, and flexible workflow engine that executes tasks defined in YAML configuration files.
PythonMIT★ 4Few starsNo key
PythonMIT★ 1Few starsNo key
PythonMIT★ 1Few starsNo key
PythonMIT★ 2Few starsNo key
Reference architecture and working case study for Codex × Antigravity agent-runtime collaboration.
PythonMIT★ 11No key
PythonMIT★ 4Few starsNo key
PythonMIT★ 5No key
PythonMIT★ 4Few starsNo key
PythonMIT★ 2Few starsNo key
Architected a Recursive Language Model (RLM) framework in LangGraph, using a Prime Agent supervisor to decompose complex queries into multi-hop execution trees.
PythonMIT★ 1Few starsNo key
PythonMIT★ 3Few starsNo key
SDK-first agent orchestration framework. Build LLM pipelines as DAGs with >> chaining, parallel() branches, and 4 node types (LLM, Code, Decision, MCP). Auto cost/token tracking, budget enforcement, r
PythonMIT★ 1Few starsNo key
PythonMITFew starsNo key
Zero-dependency AI agent orchestration engine. Parallel DAG execution, skill genetics, ontology routing, human approval gates. 8.7K LOC, <1MB. The embeddable agent engine that learns.
MCPLink only★ 1Few stars
Extend Claude with parallel processing for tasks that need reasoning at scale
PythonMIT★ 2Few starsNo key
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