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Ghost turns privacy, accountability, and performance into inspectable system behavior: AI Evidence Log, deterministic replay, persistent memory, voice, and hardware-backed attestation — all on-device.
Features
Inspectable primitives — on-device.
In-page proof flow
Guided steps that open the same mission demo with the live suite focused on proof, not route-hopping.
Different evaluators use Features differently. Pick the path that matches what you need to prove first.
Adaptive evaluation
Match the proof you need first.
Evaluate Ghost for evidence quality, replay, trust root, and policy-backed accountability.
Start with Features to inspect proof, replay, memory, and privacy guarantees, then continue into Trust Ops for operating posture.
Operate Ghost as a trust system in motion, where policy, memory, drift, replay, and evidence remain visible under real institutional pressure.
Week-one signals
Cryptographic evidence, not claims.
Reproduce any AI decision. Exactly.
Remember what matters. Prove what was used.
Tap. Speak. Listen. All offline.
Answers before you ask.
Speak any language. Ghost adapts.
Smart resource management.
Privacy through proof, not policy.
Hardware-backed identity.
Declarative rules. Cryptographic enforcement.
Knowledge as a managed asset.
Gate 3 runtime readiness
Gate 3 models are not just listed by capability. Each pack declares whether it is activatable now or installable ahead of deeper runtime integration.
Packs the current mobile runtime can truly select and use today.
Complex reasoning and deep analysis
Installed and ready to activate for deep reasoning
Multilingual speech recognition
Installed and ready to activate for speech input
Sovereign packs already in the contract, installable on eligible devices, but still waiting on deeper runtime hooks.
Lens reasoning and multimodal understanding
Installed; Lens reasoning runtime hook pending
Fast conversation and draft decoding
Installed; fast-model routing hook pending
Fast image description and OCR assist
Installed; vision description hook pending
High-accuracy on-device translation
Installed; translation runtime hook pending
Near-human neural voice output
Installed; neural voice runtime hook pending
Expressive neural voice rendering
Installed; expressive voice runtime hook pending
Fast preview neural voice
Installed; preview voice runtime hook pending
Compressed state (~50KB) survives backgrounding. Resume with full context.
Draft at 80-100 tok/s, verify in one pass. 3B quality at 0.6B speed.
LoRA adapter training during idle. Implicit feedback. Measurable improvement.
Atomic activation with VERIFIED sentinel. Per-tier quarantine. DB rollback.
Priority prompt composition within KV budget: system, tools, memory, input.
MCP, A2A, ANP, AG-UI, AGORA, LMOS, AP2, OASF — multi-agent ready.
Device heartbeats verify model hashes, policies, chain integrity. Drift quarantine.
SHA-256 of every context window — proves what the model saw.