DAGroup-PKU/ViGAR
Rethinking World-Action Model for Compositional and In-context Robotic Manipulation
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,284
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
ViGAR gained 10 stars in the last 30 days, about 1 a day, and now has 102. It is about 1 year old and has averaged roughly 102 stars a year. It ranks #2,284 among Python repositories and #17,090 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#15623
BEST RANK
Oct 15, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ViGAR has maintained a continuous presence across global trending indexes, peaking at #15623. Below is the 30-day activity profile:
💡 Overview
ViGAR is an open-source project written in Python: Rethinking World-Action Model for Compositional and In-context Robotic Manipulation.
Engineered for speed, consistency, and developer ease, it solves common hurdles in efficiency, long-horizon, post-training. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install ViGAR⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ViGAR coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with ViGAR.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install ViGAR using your package manager: `pip install ViGAR`
Initialize your project workspace or configuration file for ViGAR.
Import ViGAR into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ViGAR --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
DAGroup-PKU/ViGAR is currently ranked #17,090 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #17,019 | madong-code/madong-mono | JavaScript | ★ 103 | Compare ↗ |
| #17,019 | drowzeys/keys-Wasserman-Slate-AI-Studio-powered-by-TensorFold-built-with-integrated-Fish-Audio-Drama3 | Python | ★ 103 | Compare ↗ |
| #17,019 | leggedrobotics/ame2_minimal | Python | ★ 103 | Compare ↗ |
| #17,019 | ntailio/ntk | Go | ★ 103 | Compare ↗ |
| #17,019 | sepehr071/awesome-iran-mcp | Python | ★ 103 | Compare ↗ |
| #17,090 | DAGroup-PKU/ViGAR This Project | Python | ★ 102 | |
| #17,090 | mbleigh/uberkit | Ruby | ★ 102 | Compare ↗ |
| #17,090 | macournoyer/min | Java | ★ 102 | Compare ↗ |
| #17,090 | chb/indivo_server | Python | ★ 102 | Compare ↗ |
| #17,090 | hoelzro/linotify | C | ★ 102 | Compare ↗ |
| #17,090 | dcrec1/acts_as_solr_reloaded | Ruby | ★ 102 | Compare ↗ |
Frequently Asked Questions
What does ViGAR do? +
Rethinking World-Action Model for Compositional and In-context Robotic Manipulation
What language is ViGAR written in? +
The primary language is Python. Topics include: efficiency, long-horizon, post-training, robotics, robotwin.
Is ViGAR actively maintained? +
Yes, the last recorded push was on Oct 15, 2026 with 1 open issues being tracked.
How many stars does ViGAR have? +
ViGAR has 102 stars and 2 forks on GitHub.
How does ViGAR rank among GitHub repositories? +
With 102 stars, DAGroup-PKU/ViGAR is ranked #17,090 globally across all repositories tracked on GitHubRepo and #2,284 among Python projects.
What license is ViGAR distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
