Flowtrace
Watch and steer your AI agent as a live graph
Flowtrace launched on June 3, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.
What it does
AI agents work in a black box—you get an answer, not the process, so you can't trust it or fix the one wrong step. Flowtrace turns a task into a graph your agent works through while you watch and steer. Every step writes a real file (it can't cite what isn't there), every run is git-versioned, and the next task of the same kind reuses the shape instead of starting from zero. Open source (MIT), built in Rust. Works with Claude Code, Codex, and Cursor—any LLM.
Run a task with AI as a flow of steps you keep, reuse, and refine, not a one-off chat. - AIScientists-Dev/Flowtrace
Run your agent's work as steps you can follow, check, and reuse, instead of a stream of text that buries you and then disappears. Works with the agent you already use: Claude Code, Codex, Cursor. ⭐ If Flowtrace looks useful, star it (button's top-right) — it's how we decide what to keep building in the open. Real work with an agent happens as a stream of text. You run a skill and it does the whole task in one pass, or you go back and forth in a chat that keeps growing. Either way it piles up faster than you can follow, and once it is done you are left with a wall of messages. For a quick question that is fine. For a buy or sell call, a due diligence memo, a security gate, anything you would…from github.com
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FlowTracker – Track data flowing through Java programs2024 · github.com · ▲280FlowTracker, a Java agent that tracks data flowing through Java programs. It helps you understand where any program got its output from, what it means, and why it wrote it. Watch the video or explore the live demo yourself, and read how it works at https://github.com/coekie/flowtracker
Flow – A dynamic task engine for building AI agents2024 · github.com · ▲160I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…
Git for AI AgentsMay 2026 · github.com · ▲129hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

FlowTask 2.0Jul 2026 · flowtask.work · ▲138For years, I was stuck. Trapped in a loop. Every new project, every team initiative – it began with the same soul-crushing setup. Hours. Gone. Not on the actual work, mind you. But on the meta-work. Defining tasks. Sketching forms. Mapping workflows. Hunting for that 'perfect' template that never quite fit. Just trying to get to zero. To a starting line where meaningful work could actually begin. Most project management tools? They're brilliant once things are up and running. Tracking, collaborating, reporting – they nail it. But that initial blank canvas? That moment you’re staring at an…
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