FAQ

What is Implicit?

Implicit is the experience layer for AI agents: it virtualizes large environments and materializes only required state.

What is experience virtualization?

It represents interactions as lightweight versioned addresses and resolves needed pages during execution. Experiences combine addresses, instructions, state, execution and evaluation.

How do I avoid constructing an entire simulation?

Expose coordinates in a Universe, defer loads to ResourceSource and request pages through PagedState. Avoid full construction in probe/plan. See ADAPTERS.md.

Which Python package supports it?

Distribution implicit-ai, import implicit. Install with pip install implicit-ai. Use an isolated environment.

Can I keep my learner/framework?

Yes. Native behavior stays in your adapter. Learning is application-owned; no allocator is required. Selection follows your proposed order.

When does it help?

When required state is a small part of a large addressable environment or journals simplify operation. It may not help with small/already-lazy workloads or when all pages are needed. Measure complete latency/storage.

What advantage was demonstrated?

RC1 preserved state/tool/reward equivalence in 155/155 cases, reducing retained serialized/materialized state by 93.88% aggregate, 94.40% mean and 99.55% median. These are not RAM measurements. See benchmark methodology, results and measured latency tradeoffs.

What is stored and is local mode silent?

MemoryStore lasts until exit. Configured journals/content/indexes retain data/provenance. Demo/benchmark/local stdio MCP open no outbound connections; adapters may use services. See SECURITY.md.

Limitations?

Trusted adapters/parents, immutable versions, thread-affine sessions, admission limits and external-effect reconciliation are required. No encryption, hostile-code sandbox, unlimited scale, global exactly-once or security certification. The private RC population is not publicly replayable.