Agent systems / 2026

Infrastructure for the agentic era.

Request early access

[ About / Anyware Labs Inc. ]

Infrastructure for agent-first development.

Anyware Labs Inc. builds a unified development stack from LLM to harness. Agent-first tooling so teams can move work across models, machines, and specialists without rewiring the system.

Why now
Agents outpaced the stack around them. We make that stack coherent.
Stack
Anymodel, Anycode, Anybox, and Anybrain
For
Teams running coding agents across laptop, workstation, and cloud.
Stage
Private preview. Founding team in stealth; open to inquiries.

01 / AnyboxPrivate preview

Anybox

Your agent session, anywhere.

Move live coding work between your laptop, workstation, and cloud without losing the thread. Anybox carries the code, context, and session, then resumes where you left off.

Request preview

AXB / Live session topology

Session active on laptop

LaptopLocal / 01
CloudRemote / 02
WorkstationOffice / 03
Context integrity100%
Handoff time0.8s

02 / AnycodeIn development

Anycode

The right agent for every task.

A multi-agent harness that routes each task to the right specialist automatically. Less orchestration overhead; more useful work moving in parallel.

Join early access

AYC / Orchestration trace

Ready to route

Input / 001Feature brief
AnycodePlan graph
01 / PlanArchitect
02 / BuildBuilder
03 / TestTester
Gate / AConverge
Gate / BVerify
ResultPending
WorkflowParallel fan-out
Model policyFit / quality

03 / AnymodelIn development

Anymodel

Any model. Smarter routing. Safer switches.

One gateway to every model you can call or host. Anymodel auto-routes each prompt to the right endpoint, and can fork a request so a primary path serves the agent while a shadow path scores candidates. Change models without rewriting the harness or betting the session.

Join early access

AYM / Model fork

Waiting for request

Agent harnessAnybox + Anycode
AnymodelFork
Primary · LiveFrontier modelServes the agent
Shadow · ScoreCandidate modelBaseline compare
Primary pathIdle
Shadow pathIdle
Cost delta-
IntentSafe model switch

04 / AnybrainIn development

Anybrain

Memory as a service.

Keep agent memory independent from any single harness. Anybrain separates recent context from long-term memory, then recalls what matters by balancing recency with relevance over time. Switch harnesses without starting from zero.

Join early access

AYB / Neural recall

03 signal types / live

Input / openAny harness
Context / rankedMemory
EncodeRecent memory
RecallLong-term search
RelevantRanked context