enricoros/big-AGI
AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.
Star History
Momentum
+178
STARS · LAST 30 DAYS
6
PER DAY
#133
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +42 | +178 | +540 |
| Per day | 6 | 6 | 6 |
| Forks gained | +8 | +32 | +80 |
big-AGI gained 178 stars in the last 30 days, about 6 a day, and now has 7.1K. It is about 4 years old and has averaged roughly 1.8K stars a year. It ranks #133 among TypeScript repositories and #850 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#320
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
big-AGI has maintained a continuous presence across global trending indexes, peaking at #320. Below is the 30-day activity profile:
💡 Overview
big-AGI is an open-source project written in TypeScript: AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agi, ai-agents, ai-suite. 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 big-AGI⚙ 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
big-AGI 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 big-AGI.
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 big-AGI using your package manager: `npm install big-AGI`
Initialize your project workspace or configuration file for big-AGI.
Import big-AGI into your codebase or invoke it directly from your terminal.
Execute your test suite or run `big-AGI --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
enricoros/big-AGI is currently ranked #850 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #845 | dotnet/reactive | C# | ★ 7.2K | Compare ↗ |
| #846 | JerryZLiu/Dayflow | Swift | ★ 7.2K | Compare ↗ |
| #847 | NVIDIA/warp | Python | ★ 7.1K | Compare ↗ |
| #848 | RsaCtfTool/RsaCtfTool | Python | ★ 7.1K | Compare ↗ |
| #849 | experientiallabs/experiential | Python | ★ 7.1K | Compare ↗ |
| #850 | enricoros/big-AGI This Project | TypeScript | ★ 7.1K | |
| #851 | lance-format/lance | Rust | ★ 7.1K | Compare ↗ |
| #852 | vespa-engine/vespa | Java | ★ 7.1K | Compare ↗ |
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Frequently Asked Questions
What does big-AGI do? +
AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.
What language is big-AGI written in? +
The primary language is TypeScript. Topics include: agi, ai-agents, ai-suite, ai-workspace, anthropic-api.
Is big-AGI actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 170 open issues being tracked.
How many stars does big-AGI have? +
big-AGI has 7,132 stars and 1,596 forks on GitHub.
How does big-AGI rank among GitHub repositories? +
With 7,132 stars, enricoros/big-AGI is ranked #850 globally across all repositories tracked on GitHubRepo and #133 among TypeScript projects.
What license is big-AGI distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
