Flowith offers a visual, canvas‑first AI workspace that lets users organize prompts, outputs, media, and data as interconnected nodes, preserving context for non‑linear exploration. Its built‑in Neo agents and Oracle toolset can autonomously plan and execute multi‑step projects while accessing a searchable “Knowledge Garden” of the user’s own documents, enabling real‑time collaboration and transparent AI reasoning for knowledge workers and creative teams.
Funding
Funding not disclosed
Founders
Product
Problem
Current AI tools force users into linear chat or terminal interfaces, causing loss of context, limited visibility into agent reasoning, and fragmented workflows that hinder creative collaboration and efficient execution.
Solution
Flowith provides a visual, canvas‑first AI workspace that unifies human creativity with autonomous AI agents. The platform’s Flow Mode lets users organize prompts, responses, images, and data as interconnected nodes, preserving context and enabling non‑linear exploration. Integrated agents, powered by the Neo engine and Oracle toolset, can plan, execute, and self‑correct multi‑step projects while maintaining an expandable memory of millions of tokens. The Knowledge Garden continuously ingests users’ documents, media, and notes, turning them into a searchable, personalized knowledge base that grounds AI outputs in the user’s own information. Together, these components create a shared, real‑time habitat where individuals and teams can collaborate, branch ideas, and see AI thought processes unfold visually.
Target Audience
Flowith targets knowledge workers, creators, marketers, product teams, and research groups who need a unified environment for complex, multi‑modal projects and collaborative AI‑augmented workflows.
Features
- Visual Canvas (Flow Mode) with node‑based branching for prompts, outputs, and media, allowing instant context navigation and editing
- Canvas Cowork Skill that brings external AI agents onto the canvas, enabling parallel sub‑agent generation and visual tracking of their work
- Agent Neo with infinite context window and autonomous scheduling, capable of running long‑running, multi‑step workflows without losing coherence
- Oracle integration that dynamically selects and invokes tools (search, image/video generation, data retrieval) based on task requirements
- Knowledge Garden “second brain” that ingests files, links, audio, and video, structuring them into atomic knowledge seeds for AI reference
- Cross‑canvas recall that lets agents retrieve and reuse assets from previous projects within new canvases
- Real‑time multiplayer collaboration with shared canvases, transparent versioning, and traceable AI actions for team workflows
- The Case Playbook library of ready‑made, one‑click prompts for common use cases such as social media asset generation, data visualization, and product brainstorming