Independent software lab building open-source, self-hostable AI agents plus the memory, tracking, and storage infrastructure they run on.
What it does
DeepFounder AI is a software laboratory that develops and deploys AI agents along with the infrastructure that keeps them reliable in production. Its open-source projects include an agent (castor), agent memory (mnemos), an issue tracker (LineAgent), and an LLM-maintained wiki, exposed over REST, MCP, and CLI. Systems are self-hostable and built mainly in Rust and Python.
Core features
AI agent development for real workflows
Agent infrastructure: memory, tracking, coordination, storage
Self-hosted, on-premise deployment
Open-source repositories
REST, MCP, and CLI interfaces
Built in Rust and Python
Best for
→Deploying AI agents for customer ops and automation
→Self-hosted knowledge retrieval and reporting
→Persistent memory and coordination for agents
→Running AI privately on your own hardware
Toolspool rankingby monthly traffic