sqz runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 23 Aug 2026.
Pre-injection context compression for coding agents. Zero LLM calls, zero telemetry, offline-safe.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
Prompt-injection firewall for AI agents — scan untrusted text before LLM calls.
Offline persistent memory for AI coding agents — 35 tools, 80% fewer calls, no LLM
Context selection and compression for AI agents - recall measured, not claimed.
Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
Scan skills, MCP configs, and agent content for injection and supply-chain risks. Offline, no LLM.
Verified context layer for AI coding agents — prunes, compresses, indexes, remembers. 32 MCP tools.
Audits any website for AI agent readiness and safety, scoring prompt injection risk and llms.txt.
Context optimization for LLM agents: tool registry, result masking, budgeting, compaction.
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