Most AI agents forget everything overnight and wake up with the same toolbox. We build the ones that don't.
Avasis is a deep-tech studio working on the unglamorous substrate under agentic software: durable memory that survives a session, tools an agent writes for itself when it hits a wall, and a hard rule that nothing counts until it's proven by execution.
Four products, one idea — an agent should get more capable the longer you run it.
Lens
Turns a live website, contract, or API into a structured record that's versioned over time — so an agent can ask "what changed since last week?" and get a real answer.
Open lens →Scout
Reads the open web for problems worth solving and scores each against what our agents can actually do — so the work picked up is work we can finish.
Open scout →Dias
A cloud workspace you hand to an agent. Boots in seconds, keeps its memory and grown tools between sessions; reachable from terminal, dashboard, or Telegram.
Open dias →Aegis
Smart-contract security that refuses to cry wolf: a finding isn't reported until a Foundry fork actually moves the funds or breaks the invariant. White-hat, human-reviewed.
Open aegis →An agent that wipes its memory and its tools every morning can never compound. Everything we build is aimed at the opposite.
It remembers
Memory and learned context persist on the workspace, not in a throwaway prompt.
It grows its tools
When the agent hits a capability it lacks, it writes the tool, tests it in a sandbox, and keeps it. Next time it's already there.
It proves its work
Outputs are validated by execution before a human ever sees them — the honest cure for confident-but-wrong machines.
We run our own operations on this stack before we sell any of it. If it can't carry our work, it isn't ready for yours.
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