flowgram.ai
Extensible workflow development framework aiding in rapid AI workflow platform creation
GraphCanon updated Sep 15, 2026 · GitHub synced Sep 15, 2026
31views this month
Decision brief
FlowGram.ai is an extensible workflow development framework for TypeScript that aids in rapidly creating AI workflows with visual tools, including no-code options.
Good fit when
- When you need to create sophisticated AI workflows using a canvas-based interface with TypeScript
- For rapid prototyping of AI-centric platforms that require both code and no-code components
Avoid when
- Avoid if your project strictly forbids the use of TypeScript or if JavaScript alone suffices for your needs
- Not suitable when you require a fully-fledged, pre-built automation solution without custom workflow development
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (14d since push)
- As of Sep 15, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 15, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for ByteDance. Display-only - separate from trust and ranking.
- Company
- Bytedance Inc.·GitHub org profile·Jul 11, 2026
- Commercial model
- Pure OSS·GitHub org profile (public repos)·Jul 11, 2026
Install
npm install flowgram.ai npmSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
FlowGram offers an environment for developers to build sophisticated AI workflows with visual tools and no-code options using TypeScript
Capability facts
- Languages
- typescript
Source: github.language · Sep 15, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
🚀 Quick Start 1. Create a new FlowGram project: We recommend choosing the template. 2. Start the project: 3. Open http://localhost:3000 in your browser.
For agents
This page has a .md twin and JSON over the API.