We build Nestornotes, an AI-powered knowledge hub that helps agents and humans stop re-fetching and re-processing the same information. When you connect your sources, Nestornotes continuously ingests updates and turns them into a persistent knowledge base that your agents can query instead of browsing the web from scratch each session.
On the product side, we support agent connectivity via MCP or a CLI and provide capabilities like full-text, semantic, and recency-aware search across ingested content, plus clean pre-summarized outputs (described as 200–500 tokens rather than multi-thousand-token page loads). We also organize information into topic or domain collections so queries like 'AI news' or 'React ecosystem' return focused results. Nestornotes supports subscriptions to newsletters, RSS feeds, YouTube channel updates, and articles, and is positioned for coding assistants, research agents, and market monitoring workflows.
