You can now use Plannotator to annotate anything! Free, open source, and private (runs local). Use the skill `/plannotator-annotate` (or cli) - followed by a folder, URL, document, markdown, your book, a recipe, a plan, etc - to annotate anything and send feedback directly into your integrated agent. Use `/plannotator-last` to annotate the last message an agent sent you too. I like using it for my own version of Karpathy’s "LLM Wiki" in obsidian. https://github.com/backnotprop/plannotator
I wanted to be able to annotate anything and have feedback integrated directly into the agent loop. That's why I created this. It was also a constant desire to annotate the last agent message. Happy to introduce both capabilities in this new product launch.
Free, open source, your work runs locally and stays private.
This is a really clever take on closing the loop between humans and agents .Annotating directly feeding that back into the agent feels like a missing piece.
the plan-annotation-as-feedback-loop is the part that's been missing from claude code workflows. most people are still pasting raw plan text into a doc, marking it up by hand, then re-pasting back into the agent, which is brutal and the round-trip kills the energy. the question for me is whether the team-feedback-collection becomes async (collect + bulk-apply) or stays synchronous like a code review thread. the async version unlocks distributed teams but the synchronous one is where the actual disagreements get resolved.
About Plannotator on Product Hunt
“Annotate any doc, URL, or folder - send feedback to agents ”
Plannotator launched on Product Hunt on April 29th, 2026 and earned 93 upvotes and 4 comments, placing #15 on the daily leaderboard. You can now use Plannotator to annotate anything! Free, open source, and private (runs local). Use the skill `/plannotator-annotate` (or cli) - followed by a folder, URL, document, markdown, your book, a recipe, a plan, etc - to annotate anything and send feedback directly into your integrated agent. Use `/plannotator-last` to annotate the last message an agent sent you too. I like using it for my own version of Karpathy’s "LLM Wiki" in obsidian. https://github.com/backnotprop/plannotator
Plannotator was featured in Writing (59.2k followers), Education (78.5k followers), Artificial Intelligence (467.7k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 149.3k products, making this a competitive space to launch in.
Who hunted Plannotator?
Plannotator was hunted by Michael. 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.
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Michael
I wanted to be able to annotate anything and have feedback integrated directly into the agent loop. That's why I created this. It was also a constant desire to annotate the last agent message. Happy to introduce both capabilities in this new product launch.
Free, open source, your work runs locally and stays private.
https://github.com/backnotprop/plannotator
Try a demo of the annotation surface here: https://share.plannotator.ai