"use client"; import { useCallback, useEffect, useRef, useState } from "react"; import styles from "./LiveTerminal.module.css"; type SegType = "prompt" | "typed" | "plain" | "comment" | "ok" | "val"; interface Seg { t: SegType; text: string; } function buildScript(mcpTools: number, hooks: number): Seg[] { return [ { t: "prompt", text: "$ " }, { t: "typed", text: "npx @agentmemory/agentmemory\n" }, { t: "plain", text: "[agentmemory] iii-engine ready on :3111\n" }, { t: "plain", text: `[agentmemory] ${mcpTools} MCP tools registered\n` }, { t: "plain", text: `[agentmemory] ${hooks} autohooks armed\n\n` }, { t: "prompt", text: "$ " }, { t: "typed", text: 'memory.recall({ query: "where did we land the retry logic?" })\n', }, { t: "comment", text: "// triple-stream retrieval: BM25 + vector + graph\n" }, { t: "ok", text: "✓ 3 memories · p50 18ms · reranked on device\n\n" }, { t: "plain", text: "→ " }, { t: "val", text: "src/retry.ts:47 · exponentialBackoff(max=5, jitter=true)\n" }, { t: "plain", text: "→ " }, { t: "val", text: 'commit 8f2e14c · "resolve conflict + honor x-amz headers"\n', }, { t: "plain", text: "→ " }, { t: "val", text: 'session 2026-04-16 · "bug: race when Retry-After is empty"\n\n', }, { t: "prompt", text: "$ " }, { t: "typed", text: "memory.consolidate({ project: 'pay-api' })\n" }, { t: "ok", text: "✓ 18 raw observations → 4 semantic memories · audit row emitted\n" }, ]; } function classFor(type: SegType) { switch (type) { case "prompt": return styles.prompt; case "comment": return styles.comment; case "ok": return styles.ok; case "val": return styles.val; default: return ""; } } export function LiveTerminal({ mcpTools, hooks, }: { mcpTools: number; hooks: number; }) { const termRef = useRef(null); const [status, setStatus] = useState("IDLE"); const runningRef = useRef(false); const played = useRef(false); const play = useCallback(async () => { const term = termRef.current; if (!term || runningRef.current) return; runningRef.current = true; setStatus("RUNNING"); term.innerHTML = ""; const caret = document.createElement("span"); caret.className = styles.caret; term.appendChild(caret); const reduce = matchMedia("(prefers-reduced-motion: reduce)").matches; const script = buildScript(mcpTools, hooks); for (const seg of script) { const span = document.createElement("span"); const c = classFor(seg.t); if (c) span.className = c; term.insertBefore(span, caret); if (seg.t === "typed") { for (const ch of seg.text) { span.textContent += ch; await new Promise((r) => setTimeout(r, reduce ? 0 : 16 + Math.random() * 34), ); } await new Promise((r) => setTimeout(r, reduce ? 0 : 260)); } else { span.textContent = seg.text; await new Promise((r) => setTimeout(r, reduce ? 0 : 160)); } } setStatus("DONE"); runningRef.current = false; }, [mcpTools, hooks]); useEffect(() => { const term = termRef.current; if (!term) return; const host = term.closest("[data-terminal]"); if (!host) return; const io = new IntersectionObserver( (entries) => { for (const entry of entries) { if (entry.isIntersecting && !played.current) { played.current = true; play(); io.unobserve(entry.target); } } }, { threshold: 0.4 }, ); io.observe(host); return () => io.disconnect(); }, [play]); return (
LIVE

MEMORY THAT TYPES BACK.

agentmemory@localhost:3111
          
        
{status}
); }