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threadle
What your coding agents did while you weren't looking
Claude Code, opencode, Cursor, Antigravity, Codex, Copilot and Grok write down everything they do: every file read, every tool call, every token spent. Almost nobody reads it. threadle does, and draws it as one graph. Walk the timeline, diff what changed, trace lineage across runs. Then hand context from one agent to another and wire sessions into pipelines. Localhost, no account, no telemetry, no outbound requests.
Hi Product Hunt!
I've been writing software for 17+ years, so when I started testing Claude Code locally, then opencode and a few others, I wanted to know what they were all actually doing under the hood. Which files they read, what they send out, what state they leave behind. Each one keeps its session state in its own format, in its own directory, with its own idea of what a "session" is, and there was no way to look across them.
So I started writing something to read those files, and it turned into threadle.
Your agents already write everything down: transcripts, tool calls, token counts, the files they touched. Almost nobody reads it. threadle reads it and draws it. Every session becomes a node graph you can walk, diff and trace across runs. And once they're all in one place, you can hand context from one tool to another and wire sessions into pipelines.
It all runs on 127.0.0.1. No account, no telemetry, no outbound requests. Free and MIT licensed.
npx threadle@latest
I'd love to hear which agents you use, what you'd want to see in your own sessions, and what breaks. Comments here or GitHub issues both work.
Thanks!
About threadle on Product Hunt
“What your coding agents did while you weren't looking”
threadle was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. Claude Code, opencode, Cursor, Antigravity, Codex, Copilot and Grok write down everything they do: every file read, every tool call, every token spent. Almost nobody reads it. threadle does, and draws it as one graph. Walk the timeline, diff what changed, trace lineage across runs. Then hand context from one agent to another and wire sessions into pipelines. Localhost, no account, no telemetry, no outbound requests.
On the analytics side, threadle competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how threadle performed against the three products that launched closest to it on the same day.
Who hunted threadle?
threadle was hunted by Fabian. 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 threadle including community comment highlights and product details, visit the product overview.
Fabian