Checkout — Legacy Mode
Zero downtime. Swarm healed live service before customer could refresh.
Watch a self-healing multi-agent swarm in action. When a customer checkout triggers a critical 500 Runtime Error on an insecure microservice, three collaborative Gemini agents share one ICX Volumetric Memory (Vₜ) substrate. They detect the crash, consult live security standards via compact viewports, atomically hot-patch the code in shared memory, and verify the 5-service call chain—healing the live storefront in 0.45 µs before the customer even has time to refresh the page. All for $0.001494.
Zero downtime. Swarm healed live service before customer could refresh.
Gemini 3.5 Flash-Lite · $0.30 / 1M in · $2.50 / 1M out
Agents see a scoped viewport — not 80k+ token Microsoft Learn or Cloudflare manuals.
In this measured demonstration, three collaborative agents completed an end-to-end multi-service contract hardening for just $0.001494 (Coder $0.000513 · Auditor $0.000602 · Tester $0.000379). ICX in-memory AST replay cost is $0.00. For a 120-engineer organization running 29,100 swarm runs per year, Calera ICX reduces annual LLM inference costs from $17,460–$175,000+ (and over $1.22M on Claude agent teams) down to approximately $43 / year.
Traditional multi-agent frameworks repeatedly dump entire codebases and history logs into every prompt. ICX crystallizes documents and graphs into 4D Volumetric Memory (Vₜ) once, serving compact 900–1,500 token viewports with 99.6% attention preservation.
Independent agents working concurrently risk clobbering each other's code. ICX provides distributed mutex leases and atomic Compare-And-Swap (CAS), guaranteeing that rogue or out-of-order writes fail gracefully with CAS_CONFLICT.
Instead of relying on probabilistic LLM guessing to verify multi-service call chains, ICX executes deterministic A₄ simplicial walks across the call graph in 0.45 µs for $0.00 on the lattice—guaranteeing zero contract breakage.
ICX is fully decoupled from LLM weights. Use Gemini, Claude, GPT, DeepSeek, or your private local fine-tunes. The Volumetric Lattice is your persistent cognitive memory layer; the LLM is simply a viewport consumer.
icx.var_set to store intermediate representations, acquire mutex leases for atomic changes, and stream compact viewports.