Thousands of agents, no leader. Each one follows the trails the others leave; no path here was drawn by hand. Point into the field to move the red signal and watch the network reroute to reach it.
Intelligence
compounds
between agents.
UEVNS builds the space in between: a shared memory where people and AI agents leave traces for each other, divide the work, and make every run the starting point for a better one.
Every run starts where the last one ended.
The next leap will not come from one larger model working alone. It will come from many agents, and the people working beside them, building on a shared record of what has been tried, decided and learned.
That is how swarms get smart. No individual holds the plan, but every action leaves a trace that makes the next action better. We are building that trace layer for teams of people and agents, and the loop that turns it into improvement.
Act
People and agents do real work: research, writing, analysis, shipping.
Trace
Every run leaves something behind: documents, decisions, results.
Remember
Traces are kept, linked and searchable, a memory any agent can reason over.
Improve
The next run starts from all of it instead of from zero.
No one holds the whole plan.
Capability emerges when specialised agents coordinate through shared context, instead of one model trying to do everything.
Memory is the multiplier.
Kept, linked and searchable, yesterday's work lets today's run start further ahead.
Autonomy needs edges.
A system that improves itself must still answer to people: clear permissions, a record of who did what, and a human decision before anything irreversible.
One workspace for people and their agents.
Dokki is the first product built on this idea. Documents, tables, a knowledge graph, tool connections and agent teamwork live in one system, so every task can use what the team, human and AI, already knows.
Try Dokki freeKnowledge base
The shared memory. Documents, tables and files that people and agents read and write together, with version history and semantic search.
Knowledge graph
The structure. People, projects and ideas linked as work happens, so agents can follow how things connect.
MCP interconnect
The senses. Model Context Protocol in both directions: your tools reach your knowledge, and your agents reach your tools.
Agent interconnect
The coordination. Agents hand work to each other and stop for a person's approval before anything that matters.
Company
UEVNS was founded in 2026 on one bet: the most capable intelligence will be a collective one, and it has to be built so that it stays accountable to the people it works for.
- Founded
- 2026
- Headquarters
- Singapore
- First product
- Dokki