This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Open-source Python CLI and SDK for codebase analysis and supervised AI workflows: reusable skills, source citations, exact approvals and recoverable edits. Includes Node and MCP integrations. Offline core; optional AI uses your own API key.
I'm Ashutosh, the maintainer. I spent 103 hours building the initial toolkit around a practical need: connecting the source a developer inspected to the exact change and command they approved.
Agentic Workbench has a Python CLI/SDK, eight role routes, versioned skills, saved tasks, source citations, and reviewed change/rollback workflows. A typed Node adapter and restricted MCP server use the same policy implementation.
Start with the offline init, scan and explain workflow in the README. No API key is needed for that trial. Optional OpenAI use requires your own credentials and an explicit network grant.
This is a pre-1.0 developer preview. Guarded mutations and execution require POSIX; Windows is limited to the documented read-only subset. Trusted-host execution is weaker than Docker isolation and requires explicit authority.
0.1.0 is the published package. 0.1.1 is a prepared candidate, not a registry release. I'd value technical feedback on the source context, approval flow and installation experience.
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About Agentic Workbench on Product Hunt
“Supervised coding agents with reviewable changes”
Agentic Workbench was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #150 on the daily leaderboard. Open-source Python CLI and SDK for codebase analysis and supervised AI workflows: reusable skills, source citations, exact approvals and recoverable edits. Includes Node and MCP integrations. Offline core; optional AI uses your own API key.
Agentic Workbench was featured in Developer Tools (521.6k followers), Artificial Intelligence (481.7k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 252.5k products, making this a competitive space to launch in.
Who hunted Agentic Workbench?
Agentic Workbench was hunted by Ashutosh Shrivastava. 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.
Want to see how Agentic Workbench stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ashutosh Shrivastava