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Lantor
Multi-agent Harness
Local-first, multi-agent harness, private AI workspace for Codex and Claude. Own your context and run agents on your laptop.
Top comment
Lantor came out of a familiar mess: N terminal tabs, N coding agents, and no way to tell which one knew what. Context lived in scrollback, and scrollback died with the tab. So agents get a workspace instead of a prompt box. Channels, DMs, threads, tasks, artifacts. Mention an agent and it wakes with scoped context, does the work, and files the result back into the thread that asked for it. What changes once they share a room: Agents stop being interchangeable. One holds the schema, one holds the frontend, one has been reading the incident logs all week, each with its own memory directory. Hand a thread from one to another and the second arrives with different context, so it asks a different question. Reviews catch what the author missed. That gap between two agents is where most of the value shows up — and it doesn't exist when everything runs in one chat window. No hosted control plane. App, supervisor, SQLite, attachments, and every agent's memory sit on your Mac. Apache-2.0, Rust + Tauri, free forever. For anyone running more than one agent: what's actually caught by a second agent that the first one missed?
About Lantor on Product Hunt
“Multi-agent Harness”
Lantor was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #119 on the daily leaderboard. Local-first, multi-agent harness, private AI workspace for Codex and Claude. Own your context and run agents on your laptop.
On the analytics side, Lantor competes within Slack, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Lantor performed against the three products that launched closest to it on the same day.
Who hunted Lantor?
Lantor was hunted by Martin LIU. 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 Lantor including community comment highlights and product details, visit the product overview.