v1.0.0 — First stable release

First stable release of General Disarray — the self-hosted, voice-powered AI phone assistant. This release brings a smarter agentic conversation engine, a large expansion of voice tools, caller-settable agent personas, an n8n integration package, and a round of latency/barge-in reliability fixes found by testing on real calls.

Highlights

Smarter conversations

• LangGraph agentic engine (LLM_BACKEND=langgraph) — chains multiple tool calls per turn to reason through multi-step requests.
• Cross-call caller memory — remembers facts about a caller and recalls them on their next call.
• RAG knowledge base — answers from your own documents via local embeddings.
• Rolling summaries — long calls no longer lose earlier context.
• "Never guess" grounding — live-data questions are answered with a real tool call, never a guess or an empty promise.

Agent personas (new)

• The caller can set the agent's demeanor for a call ("act like a formal butler") and save/recall styles by name across calls, via the PERSONA voice tool.
• Ships 8 ready-to-use personas: Professional, Friendly, Formal Butler, Calm, Cheerful, Newscaster, Witty, Pirate.
• Tone-only — personas never override grounding, tool, or safety rules.

13 new voice tools

Fun (dice, coin, trivia, story, drink recipe), information (web search, NWS forecast, KP index, earthquakes), memory & automation (remember/forget, trigger workflow), ops (GPU status, Alertmanager, container control), and blind call transfer.

Integrations

• n8n community node package — call, speak, schedule, run tools, and provision virtual numbers from n8n, with a call-lifecycle trigger and an optional per-call caller name (e.g. "Weather Alert").
• alert-bridge example — turn Alertmanager alerts into escalation phone calls.
• DGX Spark / GB10 support — self-contained compose variant and a CUDA-enabled speaches build.

Reliability fixes (from real-call testing)

• STT latency — end-of-utterance and silence timeouts were running up to 5× slow (a 750 ms hangover became ~3.8 s of dead air) because the VAD miscounted variable-length audio reads. Now measured in real time; the agent responds the instant the caller stops talking.
• Barge-in — interruptions were being missed because the detector reset on the natural gaps within speech. It now tolerates inter-syllable gaps and fires reliably (~500 ms) while still ignoring clicks and line noise.
• Web-search read-aloud — no longer reads scraped page snippets verbatim; speaks a clean summary instead.
• Promised-but-not-delivered — a turn that says "let me get that for you" and then goes silent now forces a real tool call.

Testing & CI

Layered test suite (unit / component / e2e); the fast tiers run in GitHub Actions with an error-level ruff gate. 953 unit + component tests pass.

Full details: see PR #2.