xuzhougeng/wisp-science
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Star History
Momentum
+29
STARS · LAST 30 DAYS
1
PER DAY
#250
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +29 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
wisp-science gained 29 stars in the last 30 days, about 1 a day, and now has 1.2K. It is about 1 year old and has averaged roughly 1.2K stars a year. It ranks #250 among Rust repositories and #2,456 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#2029
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
wisp-science has maintained a continuous presence across global trending indexes, peaking at #2029. Below is the 30-day activity profile:
💡 Overview
wisp-science is an open-source project written in Rust: Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-agent, ai-assistant. 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 Rust 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
$ cargo install wisp-science⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
wisp-science coordinates its core functionality through a modular Rust 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 wisp-science.
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 wisp-science using your package manager: `cargo install wisp-science`
Initialize your project workspace or configuration file for wisp-science.
Import wisp-science into your codebase or invoke it directly from your terminal.
Execute your test suite or run `wisp-science --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
xuzhougeng/wisp-science is currently ranked #2,456 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #2,456 | xuzhougeng/wisp-science This Project | Rust | ★ 1.2K | |
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Frequently Asked Questions
What does wisp-science do? +
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
What language is wisp-science written in? +
The primary language is Rust. Topics include: agent-skills, ai-agent, ai-assistant, ai-for-science, ai4science.
Is wisp-science actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 7 open issues being tracked.
How many stars does wisp-science have? +
wisp-science has 1,172 stars and 122 forks on GitHub.
How does wisp-science rank among GitHub repositories? +
With 1,172 stars, xuzhougeng/wisp-science is ranked #2,456 globally across all repositories tracked on GitHubRepo and #250 among Rust projects.
What license is wisp-science distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
