The only local AI that protects your data even if your machine is compromised. Six layers of active defense. Zero data leaves your machine. Not to a cloud. Not to us. Not to anyone.
Kwyre exists because these professionals cannot upload their work to cloud AI. Not legally. Not ethically. Not safely.
Every local AI tool treats "local" as the security boundary. Kwyre treats the machine itself as potentially compromised.
Server binds to 127.0.0.1 only — physically unreachable from any network at the OS level. No firewall rules required. The OS itself blocks all external connections.
OS-Level Enforcementiptables rules scoped to the inference process. All outbound traffic blocked except localhost. Even a fully compromised server process cannot make outbound connections.
Kernel-Level EnforcementSHA256 hash manifest of every installed Python package generated on clean install. Verified at server startup. Tampered torch, transformers, or any dependency causes immediate abort.
Supply Chain DefenseSHA256 hashes of all model config files verified at every startup. Tampered or replaced model weights cause immediate process abort with clear error.
Cryptographic VerificationConversations stored only in RAM. Each session gets a unique 32-byte random key. On session end: secure_wipe() overwrites all content with random bytes before clearing references. RAM scraping returns garbage.
Cryptographic WipeBackground watchdog monitors for unexpected outbound connections and known analysis tools (Wireshark, x64dbg, Fiddler, Ghidra, IDA). On confirmed intrusion: all sessions wiped, server terminated.
Active Threat ResponseFrontier-class model with dual-layer compression. Spike QAT training plus 4-bit quantization. Nobody else does this.
Custom pipeline using Straight-Through Estimator spike encoding with k-curriculum annealing (k=50→5). The model learns to tolerate spike-encoded activations.
Dynamic spike encoding at inference time. Significant activation sparsity without quality loss. Dual compression: weights AND activations.
Metadata only. No telemetry, no analytics, no error reporting, no update pings, no license callbacks. Verify yourself with Wireshark.
POST /v1/chat/completions drop-in replacement. Works with any OpenAI SDK. Session management and compliance endpoints built in.
Adapters targeting MLP layers (gate_proj, up_proj, down_proj). Fine-tuning with 0.2% trainable parameters. QLoRA rank 64, alpha 128.
GET /audit for metadata-only compliance logs. GET /health for full security stack status. Architecture designed for HIPAA, FINRA, SOC2-adjacent requirements.
No other local inference tool targets the compliance and adversarial environment use case.
| Capability | Kwyre | ChatGPT | Ollama | LM Studio | Jan.ai | LocalAI |
|---|---|---|---|---|---|---|
| Fully local | YES | — | YES | YES | YES | YES |
| Open source | YES | — | YES | — | YES | YES |
| Localhost-only binding | YES | — | — | — | — | — |
| Process outbound block | YES | — | — | — | — | — |
| Dependency integrity | YES | — | — | — | — | — |
| Model weight verification | YES | — | — | — | — | — |
| RAM-only sessions | YES | — | — | — | — | — |
| Cryptographic session wipe | YES | — | — | — | — | — |
| Intrusion detection + auto-wipe | YES | — | — | — | — | — |
| Compliance documentation | YES | — | — | — | — | — |
| Audit endpoint | YES | — | — | — | — | — |
| Anonymous payment (XMR) | YES | — | free | free | free | free |
| Spike activation encoding | YES | — | — | — | — | — |
| Custom QAT training | YES | — | — | — | — | — |
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