FrameLane
FrameLane is a professional video production API, MCP, and SDK designed for AI agents, enabling programmatic creation of videos, motion graphics, and designs. The platform uses a timeline-as-state architecture with live preview and editing, and its Rust-based, GPU-native engine renders a 15-second 4K clip in under 4 seconds with byte-identical deterministic output.
- Developer Tools
- Creator / Creative Economy
- AI Agents
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
AI agents lack a reliable, professional-grade video production engine, forcing developers to either build complex rendering pipelines or rely on slow, non-deterministic browser-based tools. This makes programmatic video creation for agent-driven workflows impractical and inconsistent.
Solution
FrameLane provides a professional and scalable video production API, MCP, and SDK that gives AI agents a complete video production engine. Agents can write a plan, preview the result, and render the final video through a structured project model. The platform uses a timeline-as-state architecture, meaning edits are applied to a persistent project that can be previewed and iterated on before final rendering. Built with Rust and GPU-native, FrameLane renders a 15-second 4K clip in under 4 seconds, with byte-identical output on every rerun, ensuring deterministic results. The system supports live project editing and previews, allowing agents to make changes and see results immediately.
Target Audience
Primary customers are developers and AI product teams building agent-driven video generation, editing, and rendering workflows that require deterministic, high-performance output at scale.
Features
- High-speed rendering: 15-second 4K clip rendered in under 4 seconds
- Deterministic output: byte-identical results on every rerun
- Rust-based, GPU-native engine with no headless browser dependency
- Timeline-as-state project model with versioned project history (e.g., v11)
- Live preview and edit workflow via `edit_project` and `get_project` commands
- Support for multiple element types: video clips, images, text, shapes, captions, and audio
- API + MCP (Model Context Protocol) integration for AI agent workflows
- Preview-before-render capability to validate output before final production