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bytedance/flowgram.ai

FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and simpler.

TypeScript ◇ ai MIT
★8.5KSTARS
⑂775FORKS
!85ISSUES
🏆#1,411GLOBAL RANK
🔥4DAYS TRENDING
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Momentum

+212

STARS · LAST 30 DAYS

7

PER DAY

#237

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+49+212+630
Per day777
Forks gained+4+16+39

flowgram.ai gained 212 stars in the last 30 days, about 7 a day, and now has 8.5K. It is about 2 years old and has averaged roughly 4.2K stars a year. It ranks #237 among TypeScript repositories and #1,411 across all languages on GitHubRepo.

Trending Record

flowgram.ai has maintained a continuous presence across global trending indexes, peaking at #4002. Below is the 30-day activity profile:

💡 Overview

flowgram.ai is an open-source project written in TypeScript: FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and simpler.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, automation, coze. 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 flowgram.ai

⚙ 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

flowgram.ai 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 flowgram.ai.

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 flowgram.ai using your package manager: `npm install flowgram.ai`

2

Initialize your project workspace or configuration file for flowgram.ai.

3

Import flowgram.ai into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `flowgram.ai --help` to verify successful setup.

👍 Strengths

Active community backing with 8,492 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.

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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

bytedance/flowgram.ai is currently ranked #1,411 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,406 lnkiai/m3e-canvas TypeScript ★ 8.5K Compare ↗
#1,407 junit-team/junit4 Java ★ 8.5K Compare ↗
#1,408 mobile-next/mobile-mcp TypeScript ★ 8.5K Compare ↗
#1,409 microsoft/microsoft-ui-xaml C++ ★ 8.5K Compare ↗
#1,410 LibreSprite/LibreSprite C++ ★ 8.5K Compare ↗
#1,411 bytedance/flowgram.ai This Project TypeScript ★ 8.5K
#1,412 litestar-org/litestar Python ★ 8.5K Compare ↗
#1,413 archlinux/archinstall Python ★ 8.5K Compare ↗
#1,414 HarnessMD/munder-difflin TypeScript ★ 8.5K Compare ↗
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Frequently Asked Questions

What does flowgram.ai do? +

FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and simpler.

What language is flowgram.ai written in? +

The primary language is TypeScript. Topics include: ai, automation, coze, data-flow, diagram.

Is flowgram.ai actively maintained? +

Yes, the last recorded push was on Oct 10, 2026 with 85 open issues being tracked.

How many stars does flowgram.ai have? +

flowgram.ai has 8,492 stars and 775 forks on GitHub.

How does flowgram.ai rank among GitHub repositories? +

With 8,492 stars, bytedance/flowgram.ai is ranked #1,411 globally across all repositories tracked on GitHubRepo and #237 among TypeScript projects.

What license is flowgram.ai distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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