GitRank
中
✅ Recently maintained
AhmadHassan-BTed

AutoSwarm-Shadow-Adapter

Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.

Systems & ServicesArtificial Intelligence⚖️ MIT🏷️ v1.0.0
Open on GitHubHomepage
Share
Stars
5.2k+1.3k
7-day net star gain
Forks3Community forks
LanguagePythonLicense: MIT
Created2026-07-25Active for 0.3 yrs
Last push2026-10-20Latest: v1.0.0

Concise Brief · Core Value & Positioning

Jargon-free breakdown of core value and deliverable form

Zero-modification human-in-the-loop adapter for OpenOPC's agentic DAG runtime, intercepting and approving multi-agent steps via shadow mode.

Domain

Systems & Services

Deliverable

AI Agent / LLM Engineering

Stack & License

Python · MIT

Next star milestone

10,000 ★

5,201 / 10,000 · 52%

7-day net growth +1,344

Star history

Tracking 53 verified historical snapshots

Net Star Gain+5.2k (520100.0%)
02.6k5.2k2026-07-202026-10-082026-11-03
TOPICS#fastapi#hitl#human-in-the-loop#llm#multi-agent#openopc#orchestration#python

Maintenance & community signals

Last push
2026-10-20
Fork / Star
0.1%
7-day net stars
+1,344

Public metadata does not certify product quality, code safety or authentic stars. Value assessment requires separate evidence.

Geek Clone & Cloud Code Inspector

1-click clone or inspect source code & AI architecture online

github.dev🧠DeepWiki📄GitIngest
gitrank@pulse:~/AutoSwarm-Shadow-AdapterREADY
❯
git clone https://github.com/AhmadHassan-BTed/AutoSwarm-Shadow-Adapter.git

Cloning downloads the source; follow the project README for dependencies and installation.

Related projects to compare with AutoSwarm-Shadow-Adapter

See more →
1
stablyai

orca

A workbench for running and orchestrating fleets of coding agents across desktop, mobile, and remote runtimes.

TypeScript114k
2
Mintplex-Labs

anything-llm

Local-first AI workspace bundling RAG, vector database and multimodal agents so you own your data and models.

JavaScript68k
3
ZhuLinsen

daily_stock_analysis

daily_stock_analysis is an active open-source project written in Python.

Python67k
4
langfuse

langfuse

Open-source LLM observability and evals platform: trace, evaluate, and monitor AI applications, self-hostable for production debugging.

TypeScript37k

GitValue · Value evidence

Unscored · Evidence coverage 0%

Provisional rubric; documentation and runtime testing are separate. Missing evidence does not imply low value.

Frequently Asked Questions about AutoSwarm-Shadow-Adapter

What is AhmadHassan-BTed/AutoSwarm-Shadow-Adapter (AutoSwarm-Shadow-Adapter) and what problem does it solve?

Zero-modification human-in-the-loop adapter for OpenOPC's agentic DAG runtime, intercepting and approving multi-agent steps via shadow mode. Maintained by AhmadHassan-BTed and primarily written in Python, it is ranked in the Systems & Services category on GitRank.

How fast is AutoSwarm-Shadow-Adapter growing on GitHub?

AhmadHassan-BTed/AutoSwarm-Shadow-Adapter has 5,201 stars and 3 forks in the latest snapshot, with +1,344 net stars over seven days. These are community and activity signals rather than proof of project quality.

Which related projects can I compare with AutoSwarm-Shadow-Adapter?

Related-use or topic candidates include stablyai/orca, Mintplex-Labs/anything-llm, ZhuLinsen/daily_stock_analysis, langfuse/langfuse. Related does not mean feature-equivalent; check official documentation and licenses.

How do I install or clone AutoSwarm-Shadow-Adapter?

You can clone the repository directly via `git clone https://github.com/AhmadHassan-BTed/AutoSwarm-Shadow-Adapter.git` and follow the official README instructions on GitHub.