Anonymous P2P where constant-rate traffic defeats nation-state analysi
Constant-rate broadcast eliminates Tor's guard/exit node vulnerability entirely.
The governance layer for AI agents — monitor reasoning, audit tool calls, and secure the loop through OHTTP privacy routing.
OHTTP proxy for OpenClaw, but only tested on two providers and limited adoption.
Heavy users of OpenClaw and LLM clients concerned about API provider fingerprinting and silent rate-limiting
WireGuard · Tailscale
Anthropic’s recent reports on "distillation-pressure" and the community whispers about "silent" rate-limiting for specific IP ranges got me thinking: Why am I giving OpenAI/Google my home IP with every single prompt?
What I Built: I built Claw Shield. It’s a privacy layer for OpenClaw (and potentially any OpenAI-compatible client) that implements Oblivious HTTP (OHTTP).
How it works: Instead of a direct connection, Claw Shield uses a double-blind architecture:
The Client (OpenClaw Plugin) encrypts your request using HPKE.
The Relay (Cloudflare) sees your IP but cannot see your request content.
The Gateway (Your CF Worker) sees your request content but cannot see your IP.
The Model Provider sees the request coming from Cloudflare’s edge infrastructure, not you.
Why this is better than a simple VPN/Proxy:
Zero Trust: Even the Relay can't log your prompts, and the Gateway can't log your identity. You don't have to trust me or the relay provider.
Fingerprint Reduction: By standardizing the traffic through OHTTP/BHTTP, we strip away the unique signatures that providers use to identify "third-party client" traffic.
Open Source & Self-Hostable: Both the Relay and Gateway are lightweight Cloudflare Workers you can deploy in 1 click.
Status: Verified working for Gemini and OpenAI. Supporting Anthropic and others via providerTargets.
Constant-rate broadcast eliminates Tor's guard/exit node vulnerability entirely.
Clever timestamp-to-clock comparison saves CPU, but it's a single-purpose countdown widget.
AgentForge packs provider adapters (Claude, GPT‑4, Gemini, Perplexity), token-aware rate limiting, retry/backoff, and a MockLLMClient for tests into a tiny dependency surface — the 15KB footprint and 2 dependencies is an attention-grabber. The 3‑tier Redis cache and benchmark claims (huge latency/memory wins vs LangChain, 88% cache hit) make it a tempting low-overhead alternative, though you should validate provider feature parity and benchmarks against your workload.
Zero-knowledge architecture means prompts never touch disk — unlike LiteLLM.
Zero-dependency proxy handles 429s better than writing custom retry logic in your app.
OpenClaw agents could read your SSH keys; this blocks it at the process level, not advisory skills.