DeepFounder AI

DeepFounder AI describes itself as a software laboratory focused on two intertwined jobs: building AI agents that work in production, and building the infrastructure those agents need to be dependable. The first half covers agents for customer operations, internal automation, knowledge retrieval and scheduled reporting, grounded in research into how agents behave once they leave the demo. The second half covers the systems agents depend on — persistent memory, issue tracking, coordination and storage — exposed through plain interfaces such as REST, MCP and CLI and written in Rust and Python.

Its public product line reflects that philosophy. desigma is a free, local-first design tool written entirely in Rust and positioned as an alternative to Figma, with components, auto layout, prototyping, keyframe motion, live collaboration and real .fig import. castor is a self-hosted Python AI agent meant to drop into business workflows and run on a laptop, a workstation or your own server. mnemos provides cloud memory for agents as a persistent wiki with sources and an index, while LineAgent is an issue tracker built for agents that file, triage and close their own work.

Beyond the agent stack, the lab also publishes Android tablet apps — a drawing studio, a frame-by-frame animation tool, a handwriting-to-notation music app, a USB MIDI controller and a synthesizer — all of which keep work local rather than pushing it to the cloud. The stated principles are self-hosted by default, open by default, and small and exact: a small team, plain interfaces and boring, dependable storage.