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Junê
One living knowledge graph any agent thinks from
Agents re-read raw text on every call and can't join facts that live apart. Junê turns your documents, chats, and databases into one living knowledge graph — on your machine — and serves any agent the exact, cited context it needs. Desktop app · API · MCP.
Hey Product Hunt! 👋🏻 I'm Bhuvan, solo founder of Junê.
Junê was born inside another product. Early this year I built August, a multi-agent assistant — a supervisor coordinating specialized agents. Its weakness became the insight: my agents couldn't share context, so any question that needed their combined knowledge was unanswerable. I built a knowledge graph into August to fix it, and that layer worked so well I extracted it as its own product.
The bet under Junê is simple: everyone in this category treats memory as an LLM problem — models running at almost every step, with the cost passed on (the hosted clouds run $19–475/month). I treat it as an architecture problem: do the expensive extraction once into a living graph, make every model optional and swappable, and the same accuracy gets 20–25× cheaper. That's also why the free desktop app can be genuinely local-first and private — your files, your graph, and your keys stay on your machine.
Two things I'd love you to try: 1. Drop a messy folder into the desktop app — PDFs, spreadsheets, notes — and ask a question that spans them. The answer comes back cited. 2. If you build agents: wire the MCP server into Claude or Cursor and give every agent you run the same graph.
And don't take my word on the numbers — pip install june-bench reproduces the head-to-head against a funded competitor in one command. Claims are cheap; I ship the harness that checks mine.
I'll be here all day — honest feedback welcome, especially the critical kind.
About Junê on Product Hunt
“ One living knowledge graph any agent thinks from”
Junê was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #145 on the daily leaderboard. Agents re-read raw text on every call and can't join facts that live apart. Junê turns your documents, chats, and databases into one living knowledge graph — on your machine — and serves any agent the exact, cited context it needs. Desktop app · API · MCP.
On the analytics side, Junê competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Junê performed against the three products that launched closest to it on the same day.
Who hunted Junê?
Junê was hunted by Bhuvan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Junê including community comment highlights and product details, visit the product overview.
Bhuvan