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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.

TypeScript ◇ agi MIT
★7.2KSTARS
⑂1.6KFORKS
!188ISSUES
🏆#2,218GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

big-AGI is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), enricoros/big-AGI has accumulated 7,167 GitHub stars and 1,601 forks. It is written in TypeScript, licensed under MIT, and ranks #2,218 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
Repository enricoros/big-AGI ↗
Primary Category agi
Language & Stack TypeScript
Software License MIT
Community Traction ★ 7.2K stars · ⑂ 1.6K forks · #2,218 globally
Maintenance ● Active (Last commit: Nov 10, 2026) · 188 open issues
Target Audience Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 100/100 · Grade A+
✅
Is big-AGI actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, big-AGI is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (3 days ago). Supported by 7,167 stars and 1,601 community forks, this repository holds a calculated health index of 100/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 10, 2026
3 days since last push
Issue Backlog
188 Open Issues
Healthy Issue Cadence
Community Backing
1.6K Forks
7.2K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for enricoros/big-AGI
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Momentum

+32

STARS · LAST 30 DAYS

1

PER DAY

#389

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+5+32+90
Per day111
Forks gained+7+4+80

big-AGI gained 32 stars in the last 30 days, about 1 a day, and now has 7.2K. It is about 4 years old and has averaged roughly 1.8K stars a year. It ranks #389 among TypeScript repositories and #2,218 across all languages on GitHubRepo.

Trending Record

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

1

Optimized execution pipeline written in TypeScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

Install big-AGI using your package manager: `npm install big-AGI`

2

Initialize your project workspace or configuration file for big-AGI.

3

Import big-AGI into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `big-AGI --help` to verify successful setup.

👍 Strengths

Active community backing with 7,130 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with TypeScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 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 #2,218 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,212 plainhub/plain-app Kotlin ★ 7.2K Compare ↗
#2,214 binaricat/Netcatty TypeScript ★ 7.2K Compare ↗
#2,215 vespa-engine/vespa Java ★ 7.2K Compare ↗
#2,216 dop251/goja Go ★ 7.2K Compare ↗
#2,216 linearmouse/linearmouse Swift ★ 7.2K Compare ↗
#2,218 enricoros/big-AGI This Project TypeScript ★ 7.2K
#2,219 kubevirt/kubevirt Go ★ 7.2K Compare ↗
#2,219 ZSeven-W/openpencil Rust ★ 7.2K Compare ↗
#2,221 flwrlabs/flower Python ★ 7.2K 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.

Is big-AGI actively maintained in 2026? +

Yes, big-AGI is actively maintained. The latest code push was recorded on Nov 10, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 100/100 (A+ rating) with 7,167 stars and 188 open issues.

What language is big-AGI written in? +

The primary language is TypeScript. Topics include: agi, ai-agents, ai-suite, ai-workspace, anthropic-api.

How many stars does big-AGI have? +

big-AGI has 7,167 stars and 1,601 forks on GitHub.

How does big-AGI rank among GitHub repositories? +

With 7,167 stars, enricoros/big-AGI is ranked #2,218 globally across all repositories tracked on GitHubRepo and #389 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.

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