Qira
Qira/Products/LOLM
Improve

LOLM by Qira research

LOLM

Agent architecture with explicit task state, sandboxed execution, and sealed receipts.

Open LOLM → All products

What it is

LOLM researches persistent AI operations: keep task state, run work in a sandbox, verify completion, and produce audit receipts — not billed by LLM tokens.

Who it is for

Researchers and operators exploring agents that keep explicit task state, run sandboxed work, and produce audit receipts.

How it works

LOLM keeps task state, runs work in a sandbox, verifies completion, and emits receipts — CLI and web share the same surface.

Where it fits in Qira

Improve in the Qira loop: research and persistent operations that can feed better tactics back into execution systems.

Qira’s public thesis is one account, multiple systems, verifiable work. The company operating loop is Build → Measure → Record → Verify → Improve.

Related systems

OortShared Qira account layer for identity, connections, usage, and access across participatinFlowsTurn a goal into structured AI execution with verification, evidence, and recovery.AEXMeasure AI workload energy, compare against defensible baselines, and seal verification evLedgerLocal-first, device-signed evidence of AI-assisted work, verified in the browser.QEVSeal job records and handoffs into encrypted, signed packages that open only with the righ

Limitations

Research/product surface; does not claim to beat every frontier agent on every benchmark. Focus is state, control, and evidence.

Live product

https://lolm.imagineqira.com/ — product homepage for usage and product-specific detail.

This company page explains where LOLM fits. The live product site explains how to use it.