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Show HN: Lynx – open-source fully-customizable AI workspace

I was finding that managing multiple agent threads with walls of text was getting tiring and inefficient for me and that I wanted a more visual way to interact with my agents, so I built Lynx. Lynx lets you quickly build fully custom interfaces connected to your data sources (e.g. via MCP or API) and trigger agents running on your machine from them (e.g. with Claude Code or Codex). I built it as an experiment but have found myself doing 80-90% of my work from inside Lynx. I have my own Conductor

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Source page screenshot: Show HN: Lynx – open-source fully-customizable AI workspace
Source page screenshot · news.ycombinator.com

Source record

Recorded metrics

points · 1 votes
2026-11-12 02:15:14.663Z
cumulative since publication

Research analysis

Project record

Repository: yakkomajuri/lynx. Source account: I was finding that managing multiple agent threads with walls of text was getting tiring and inefficient for me and that I wanted a more visual way to interact with my agents, so I built Lynx. Lynx lets you quickly build fully custom interfaces connected to your data sources (e.g. via MCP or API) and trigger agents running on your machine from them (e.g. with Claude Code or Codex). I built it as an experiment but have found myself doing 80-90% of my work from inside Lynx. I have my own Conductor

Observed adoption & comparisons

Source votes: 1 votes (Nov 12, 2026 UTC; cumulative since publication) Recent records to compare: “Show HN: Motion Debugger – A browser critic for AI slop” (Show HN, Nov 12, 2026); “Show HN: Receipts, agent skills that make PRDs and metrics cite their evidence” (Show HN, Nov 12, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.

Adoption decision

Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.

Unverified requirements

Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.

Next test

Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.