The world’s first curated registry of AI Operators — autonomous execution systems that perform real tasks in real environments.
-
Updated
Jan 29, 2026
#
ai-execution
Here are 5 public repositories matching this topic...
AXIS — local-first, reservation-aware cluster substrate with deterministic placement, explicit cached reads, and guarded AI execution.
ai clustering ai-agents go-cli local-first ai-execution cluster-orchestration reservation-aware deterministic-placement
-
Updated
May 15, 2026 - Go
FIREGEM is a high‑speed cyborg LLM shell for running GGUF models locally on Windows. A native FIREGEM.exe kernel‑style console, built for desktop power and instant offline AI. Fast, lightweight, and fully local your god‑tier Windows LLM environment. It does what you expect from LLM Studio in a small CVBGOD Open Source Shell. AI uses GGUF and LLMA.
windows console ai local desktop full applicaiton win32-api llm ai-terminal ai-loader ai-sandbox ai-execution avis-runtime artifact-loader llm-loader firegem-llm firegem-engine fire-gem
-
Updated
May 13, 2026 - Batchfile
The SHAPE Methodology — AI execution framework. Situation, Hypothesis, Action, Process, Evaluation.
open-source consulting framework change-management project-management methodology ai-implementation ai-execution pilot-to-scale
-
Updated
Feb 25, 2026
Public documentation for O.M.E.G.A., a governed multi-agent execution framework. Covers architecture, workflows, and integration patterns powered by Keon governance.
workflow-engine multi-agent-systems autonomous-agents agent-orchestration governed-ai decision-governance ai-execution policy-driven-workflows
-
Updated
Feb 14, 2026 - Python
Improve this page
Add a description, image, and links to the ai-execution topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ai-execution topic, visit your repo's landing page and select "manage topics."