Build and run AI workflows. Open source.
Built to design and run AI workflows that actually complete. Zero infra setup—just build and run. Handle complex, long-running tasks with a visual node editor and real-time tracking. Combine models from multiple providers in one canvas.
Giselle provides a visual agent builder interface that requires no coding, allowing solopreneurs and product-led engineers to compose multi-model AI workflows, connect data sources, and deploy to managed cloud infrastructure in minutes rather than weeks.
Giselle's Team plan supports up to 10 users with collaboration features, email support, and ISO/IEC 27001 compliance by default with SOC 2 in progress, enabling lean AI-native teams to share agents and workflows securely without enterprise infrastructure complexity.
Giselle's Doc Updater solution monitors GitHub activity and automatically updates READMEs, release notes, and blog content when code is merged, eliminating manual documentation maintenance and keeping knowledge bases current without developer overhead.
Giselle's multi-model composition and knowledge store features enable users to connect external data sources, GitHub repositories, and PostgreSQL databases to AI agents, allowing chain-of-thought reasoning across multiple models for comprehensive research and analysis output.
Giselle's no-code visual agent builder enables teams to create AI workflows that automate research analysis, PRD generation, code review, and documentation updates. This frees product teams to focus on high-impact decisions while reducing manual work across the development pipeline.