Avasis.
deep-tech · est. 2026 · hello@avasis.ai

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.

A serene stoic philosopher seated in lotus meditation within an Indian mandala halo, a lotus below, in fine oxblood line art

01 — 04 / What we build

Four products, one idea — an agent should get more capable the longer you run it.


On how it works

An agent that wipes its memory and its tools every morning can never compound. Everything we build is aimed at the opposite.

01 / Remembers

It remembers

Memory and learned context persist on the workspace, not in a throwaway prompt.

02 / Grows

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.

03 / Proves

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.


What's running right now

The stack is live. These are not estimates.

Dias runs the Avasis operation today. Lens monitors 7 live targets and versions them over time. Scout has 333 scouted problems ranked against a 266-skill capability index. The bounty engine is seeded and running against smart contracts. The avasis agent runs on a 6-hour cron.

Proof tracelive · not mocked
Lens7 targets versioned · diffs available via MCP
Scout333 problems · scored with 266-skill TF-IDF index
DiasEC2 m7i.2xlarge · hermes-gateway · SSM-reachable
Aegisbounty-engine seeded · Foundry fork ready

Early accessrunning: Lens, Scout · building: Dias, Aegis

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