Kybernesis provides the neural memory layer that connects you, your tools, and your AI agents into a unified knowledge topology. Ingest everything, retrieve instantly, orchestrate infinitely.
Semantic vector search combined with structured metadata filtering. Sub-100ms p95 latency across billions of embeddings.
convex + chroma + kv_cacheBackground AI continuously processes your memory graph. Automatic tagging, relationship discovery, intelligent tiering, and summarization.
tag → link → tier → summarizeOAuth-based connectors for Google Drive, Notion, and more. One unified memory layer across all your productivity tools.
drive | notion | github | slackNative Model Context Protocol integration. Claude Desktop, custom agents, and any MCP client can query your memory directly.
mcp://kybernesis/searchUpload files, connect tools, or ingest via chat. Content is chunked, embedded with OpenAI text-embedding-3-small, and stored across hot/warm/archive tiers.
upload → r2 → queue → embed → convex + chromaSleep agent runs every 60 minutes, analyzing memory graph for relationships, extracting semantic tags, and optimizing storage tiers based on access patterns.
scheduler → tag → link → tier → summarizeQuery via topology UI, MCP protocol, or direct API. Cloudflare Workers edge network ensures sub-100ms p95 latency globally.
query → kv_cache → convex + chroma → responseFree tier includes unlimited memories, hybrid retrieval, and MCP access. Scale to billions of embeddings without compromising latency.