We build tools that turn your organization's knowledge into lasting, compounding intelligence — owned by you, not rented from a platform.
Get in touchThe 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 their output can share the same data space, so recorded work remains structured, searchable, and available to the next agent.
An immutable record of your work. Facts and blobs accumulate in append-only, content-addressed storage. Signed commits preserve who published each contribution. 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 →Native notebooks written in Rust — reports, analytics, and simulations with text, mathematics, and interactive views in one document. Your notebook can query TribleSpace and display the results alongside the code that produces them.
Source & releases →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.