wehub-resource-sync
124 lines
4.1 KiB
TypeScript
124 lines
4.1 KiB
TypeScript
import styles from "./Features.module.css";
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interface Props {
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hooks: number;
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mcpTools: number;
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restEndpoints: number;
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}
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export function Features({ hooks, mcpTools, restEndpoints }: Props) {
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const FEATURES = [
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{
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k: `${hooks}`,
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unit: "AUTO-HOOKS",
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title: "CAPTURE EVERYTHING",
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text:
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"Every PreToolUse, PostToolUse, SessionStart, Stop, and the rest fire into the memory pipeline without a line of glue code. Install the plugin, done.",
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},
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{
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k: `${mcpTools}`,
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unit: "MCP TOOLS",
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title: "NATIVE MCP SURFACE",
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text:
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"memory_save, memory_recall, memory_smart_search, memory_sessions, governance, audit, export — full surface behind a single MCP server.",
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},
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{
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k: `${restEndpoints}`,
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unit: "REST ENDPOINTS",
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title: "HTTP FIRST",
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text:
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"Every MCP tool has a REST twin under /agentmemory/*. Curl it. Fetch it from the browser. Proxy it from your own agent.",
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},
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{
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k: "BM25",
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unit: "+ VECTOR + GRAPH",
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title: "TRIPLE-STREAM RECALL",
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text:
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"Hybrid retrieval pipes lexical, semantic, and relational scores through an on-device reranker. 95.2% R@5 on LongMemEval-S.",
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},
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{
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k: "AUTO",
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unit: "CONSOLIDATION",
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title: "RAW → SEMANTIC",
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text:
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"Hourly sweep compresses observations into semantic memories, merges duplicates, decays stale rows with retention scoring, and emits a batched audit row.",
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},
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{
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k: "∞",
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unit: "REPLAY",
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title: "JSONL SESSION IMPORT",
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text:
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"Point agentmemory at a Claude Code JSONL transcript and it rehydrates the full session — observations, tool uses, timeline — into the store.",
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},
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{
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k: "GRAPH",
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unit: "EXTRACTION",
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title: "KNOWLEDGE GRAPH",
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text:
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"Entities and relations extracted on compress. Query with /agentmemory/graph. Visualize in the viewer. Temporal edges supported.",
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},
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{
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k: "MESH",
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unit: "FEDERATION",
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title: "PEER-TO-PEER SYNC",
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text:
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"Register another agentmemory node, push / pull memories over authenticated HTTPS. Bearer-token required; no silent syncs.",
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},
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{
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k: "MD",
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unit: "OBSIDIAN EXPORT",
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title: "YOUR NOTES, HYDRATED",
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text:
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"Mirror memories to a sandboxed vault directory. Frontmatter-tagged markdown, ready for Obsidian's graph view.",
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},
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{
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k: "5",
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unit: "LLM PROVIDERS",
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title: "BYO MODEL",
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text:
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"Claude subscription (default, zero config), Anthropic API, Gemini, MiniMax, OpenRouter. Detected from env.",
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},
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{
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k: "OTEL",
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unit: "OBSERVABILITY",
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title: "TRACES + LOGS",
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text:
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"iii-observability worker on by default. Exporter: memory for local, OTLP for Jaeger / Honeycomb / Tempo. Every operation produces a span.",
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},
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{
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k: "0",
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unit: "EXTERNAL DBs",
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title: "ONE PROCESS",
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text:
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"Runs as a single Node process. No Redis, Kafka, Postgres, Qdrant, Neo4j. State lives on disk as JSON. That's the whole stack.",
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},
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];
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return (
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<section className={styles.wrap} id="features" aria-labelledby="feat-title">
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<header className="section-head">
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<span className="section-eyebrow">WHAT'S INSIDE</span>
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<h2 id="feat-title" className="section-title">
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TWELVE THINGS YOU DID NOT WANT TO BUILD.
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</h2>
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<p className="section-lede">
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AGENTMEMORY IS NOT A LIBRARY OR A VECTOR STORE. IT'S A COMPLETE MEMORY
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RUNTIME — CAPTURE, RECALL, CONSOLIDATE, OBSERVE, FEDERATE.
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</p>
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</header>
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<ul className={styles.grid}>
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{FEATURES.map((f) => (
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<li key={f.title} className={styles.tile}>
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<div className={styles.kPill}>
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<span className={styles.k}>{f.k}</span>
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<span className={styles.unit}>{f.unit}</span>
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</div>
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<h3 className={styles.tileTitle}>{f.title}</h3>
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<p className={styles.tileText}>{f.text}</p>
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</li>
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))}
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</ul>
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</section>
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);
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}
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