wecode-ai/Wegent
Plan, build, and deliver with an open-source, self-hostable AI workspace for coding, collaboration, and automation.
Star History
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+22
STARS · LAST 30 DAYS
1
PER DAY
#562
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +4 | +22 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +3 | +10 |
Wegent gained 22 stars in the last 30 days, about 1 a day, and now has 867. It is about 1 year old and has averaged roughly 867 stars a year. It ranks #562 among TypeScript repositories and #4,739 across all languages on GitHubRepo.
Trending Record
11
DAYS ON TRENDING
#1038
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Wegent has maintained a continuous presence across global trending indexes, peaking at #1038. Below is the 30-day activity profile:
💡 Overview
Wegent is an open-source project written in TypeScript: Plan, build, and deliver with an open-source, self-hostable AI workspace for coding, collaboration, and automation.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai, chatbot. 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 TypeScript 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
$ npm install Wegent⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Node.js >= 18, npm, pnpm or bun
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Wegent coordinates its core functionality through a modular TypeScript 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 Wegent.
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 Wegent using your package manager: `npm install Wegent`
Initialize your project workspace or configuration file for Wegent.
Import Wegent into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Wegent --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
wecode-ai/Wegent is currently ranked #4,739 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,734 | factoriolab/factoriolab | TypeScript | ★ 869 | Compare ↗ |
| #4,734 | meshery/meshery.io | JavaScript | ★ 869 | Compare ↗ |
| #4,734 | zshah101/Automated-List-Of-Summer-2027-and-Fall-2026-Tech-Internships | Python | ★ 869 | Compare ↗ |
| #4,734 | rcarmo/piclaw | TypeScript | ★ 869 | Compare ↗ |
| #4,738 | ACINQ/phoenix | Kotlin | ★ 868 | Compare ↗ |
| #4,739 | wecode-ai/Wegent This Project | TypeScript | ★ 867 | |
| #4,739 | huawei-bayerlab/marigold-v2 | Python | ★ 867 | Compare ↗ |
| #4,739 | FuzzyIdeas/Cling | Swift | ★ 867 | Compare ↗ |
| #4,739 | meziantou/Meziantou.Framework | C# | ★ 867 | Compare ↗ |
| #4,739 | annotorious/annotorious | TypeScript | ★ 867 | Compare ↗ |
| #4,739 | flow-php/flow | PHP | ★ 867 | Compare ↗ |
Frequently Asked Questions
What does Wegent do? +
Plan, build, and deliver with an open-source, self-hostable AI workspace for coding, collaboration, and automation.
What language is Wegent written in? +
The primary language is TypeScript. Topics include: agent, ai, chatbot, claude-code, codex.
Is Wegent actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 87 open issues being tracked.
How many stars does Wegent have? +
Wegent has 867 stars and 143 forks on GitHub.
How does Wegent rank among GitHub repositories? +
With 867 stars, wecode-ai/Wegent is ranked #4,739 globally across all repositories tracked on GitHubRepo and #562 among TypeScript projects.
What license is Wegent distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
