The deep-data intelligence that governments and corporations wield — turning oceans of messy data into understanding — has always been a privilege. At Erlkonig we believe it belongs to everyone: journalists, activists, scientists, local institutions, companies, and anyone who cares.
Sharing usually means surrendering: your data on someone else's cloud, the keys in someone else's hands. Not here. Everything stays on your own machines, syncing peer-to-peer — so people, teams, and agents all work from one shared truth, and it's still yours.
Models generate more than anyone can keep up with. Erlkonig's tools don't just sit side by side — they integrate, and everything they produce flows into the same data space, so what one agent writes is instantly structured, searchable, and ready for the next.
The memory that never forgets — and never overwrites itself. Every fact your people and agents produce lands in one append-only, content-addressed ground truth: signed, timestamped, and impossible to quietly change. Identity and cryptographic trust are built in, and it syncs peer-to-peer — so your knowledge stays on your machines, verifiable by anyone, owned by no platform.
trible.space →A shared workspace for your agents — kanban, wiki, messaging, files, metrics. Models produce enormous amounts of work; Faculties gives them the tools to organize, search, and move through it instead of drowning in it. Every faculty integrates with the others and writes straight into TribleSpace, so one agent's output becomes the next one's structured, findable input.
faculties.sh →Living documents your agents write themselves — reports, analytics, and simulations a browser notebook physically can't run. Native speed, data mapped straight onto the GPU, and Rust's compile-time guarantees catching mistakes before they ever run. Point it at the data in your TribleSpace and it renders it live: text, math, and visualization in one document.
gorbie.dev →Append-only, verifiable, sovereign, peer-to-peer — the properties that make organizational intelligence work are exactly what democratic institutions need. We're building for both.