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DeepFounder AI

DeepFounder AI is an independent software laboratory that develops and deploys AI agents and the infrastructure they run on, including memory, tooling, coordination, and storage, with a self-hosted-by-default approach.

MarketingAI agentsDesign toolsAI infrastructureDeveloper toolsSelf-hosted software

About DeepFounder AI

DeepFounder AI

DeepFounder AI describes itself as an independent software laboratory (established 2024) focused on developing and deploying AI agents and the IT infrastructure that makes them dependable in production. Its work spans agent development for workflows such as customer operations, internal automation, knowledge retrieval, and reporting; agent infrastructure including persistent memory, issue tracking, coordination, and storage exposed through REST, MCP, and CLI interfaces built in Rust and Python; and deployment and self-hosting on customers' own hardware. The site lists products including desigma (a free, local-first, open-source design tool written in Rust, in early alpha), castor (a self-hosted AI agent), mnemos (cloud memory for AI agents), LineAgent (an issue tracker for AI agents over SQLite), llm-wiki (an LLM-maintained personal wiki for Claude Code), and five Android apps on Google Play for drawing, animation, sheet music, MIDI control, and synthesis. The site states that its code is open by default, its systems are self-hosted by default, and it is a small team. Contact is by email address shown on the page.

Key features

  • Self-hosted deployment on a laptop, workstation, or own server
  • Persistent memory for AI agents with sources and an index (mnemos)
  • Issue tracker that lets agents file, triage, and close their own work (LineAgent)
  • REST, MCP, and CLI interfaces for agent infrastructure
  • Local-first, open-source design tool with MCP server for agents (desigma, early alpha)
  • Self-hosted AI agent for business workflows (castor)
  • LLM-maintained personal wiki for Claude Code (llm-wiki)
  • Android apps for drawing, animation, sheet music, MIDI control, and synthesis

Best suited for

  • Organizations wanting AI agents deployed on their own hardware
  • Teams automating customer operations, internal workflows, knowledge retrieval, or scheduled reporting
  • Developers building agents that need memory, issue tracking, or storage infrastructure
  • Users seeking open-source, local-first design or music creation tools

Pricing

Not stated on the website

AI agentsopen sourceself-hostedMCPREST APICLIAndroid appsdesign toolissue trackerAI memoryagent infrastructureRust

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