Plannotator is an open-source platform designed to review and validate plans and code generated by AI coding agents.
The platform provides a centralized interface where developers can:
Review AI-generated plans
Annotate proposed actions
Approve or reject tasks
Inspect code changes
Provide structured feedback
Improve agent outputs
Maintain human oversight
Rather than replacing developers, Plannotator aims to keep humans involved in critical decision-making during AI-assisted development.
As AI coding agents become increasingly capable, developers face a growing challenge: ensuring that AI-generated plans and code changes align with project requirements before they are executed. Plannotator addresses this problem by acting as a review layer between developers and AI coding agents.
Instead of generating code itself, Plannotator focuses on making AI-driven development more transparent and controllable. It allows teams to review, annotate, approve, reject, and refine agent-generated plans and code changes before they affect a project.
Download Plannotator v0.27.10 - Software Mirrors |
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Plannotator v0.27.10 for Windowsplannotator-paste-win32-arm64.exe | 90.2 MB plannotator-paste-win32-x64.exe | 93.92 MB |
Plannotator v0.27.10 for macOSplannotator-darwin-arm64 | 114.24 MB plannotator-darwin-x64 | 119.28 MB |
Plannotator v0.27.10 for Linuxplannotator-linux-arm64 | 142.67 MB plannotator-linux-x64 | 143.53 MB |
Plannotator v0.27.10 for Other |
Plannotator v0.27.10 Release Notes:Follow @plannotator on X for updatesMissed recent releases?
What's New in v0.27.10This release brings two review features people have asked for, restores the slash commands on OpenCode 2, and fixes three reported bugs. Six PRs shipped, every one shaped by community reports and requests, and the whole set went through an adversarial 29-point QA sweep before tagging.Files mark themselves viewed as you scrollReviewers reading the all-files diff top to bottom no longer check every file off by hand. Scroll past a file after actually reading it and it marks itself viewed; open a file, read it, and move on, and the same happens. Momentum-flicking to the bottom marks nothing: a file only counts once its content was on screen long enough to have been read, and collapsed or generated files (your lockfiles) never auto-mark from their folded headers. The reviewer stays in charge. Un-viewing a file is treated as "come back to this," and auto-view will never re-check it. When a diff refreshes and a file's content changed underneath its checkmark, the checkmark comes off, so a stale check can't vouch for code an agent just rewrote. The feature is on by default with a one-time notice the first moment it fires, and it can be turned off in Settings or from the gear above the file list. #1430Undo and redo for annotationsMod+Z / Mod+Shift+Z now work across annotation actions in plan review and code review: create, edit, and delete for comments, deletions, checkbox toggles, suggestion batches, and image annotator strokes. History is bounded, per-document, and deliberately conservative: typing in a text field keeps the browser's native undo, and comments posted by agents or external tools never enter your history, so an undo can only ever touch your own work.
Requested by @jj-valentine in #828.
#1426, closing #828
Slash commands return on OpenCode 2OpenCode 2's plugin API originally had no way for a plugin to execute a slash command, which left/plannotator-review, /plannotator-annotate, and /plannotator-last dead on V2. Upstream shipped exactly the hook that was missing (anomalyco/opencode PR #44765), and Plannotator now uses it: on hosts with the new API the three commands run natively again, opening the UI directly with no model turn and your arguments passed through untouched. Agent switching selected in the review UI also works again on those hosts.
On OpenCode 2 builds that don't have the new API yet, the commands fall back to asking the agent to run the plannotator CLI, which works everywhere today. The native path takes over automatically as OpenCode builds update. OpenCode 1 behavior is unchanged.
#1434, #1435
Remote OpenCode 2 sessions show their URLRemote sessions are only usable if you can see the session URL, and on OpenCode 2 there was no visible place for it to land. Both the new native commands andsubmit_plan now post the URL as a notice directly in the session transcript, without waking a model turn. This came out of the release QA sweep rather than a field report, which is where you want to find it.
#1435
Share links stop serving stale snapshotsWhen a teammate sent you a share link and you annotated their plan, the export kept offering the original short link back, without your annotations. The link lifecycle now tracks exactly which content a short URL was minted for and clears it the moment the content changes, so you can never send back a link that silently drops your feedback. The remaining piece, minting a fresh short link for small plans, is tracked in #1427. Reported by @grncdr in #798. #1425, closing #798Agent terminal works on npm 12npm 12 blocks dependency install scripts by default, which silently skipped node-pty's native build on Linux and left the annotate-mode Agent tab reporting "Agent unavailable" from a runtime that looked installed but couldn't load. The managed runtime now approves exactly that one build script, verifies the native binary actually exists after install, retries the build once if it doesn't, and fails loudly with the repair command instead of failing later in the UI. Reported by @smartobc-stephen in #1409, with a diagnosis accurate down to the fix. #1411, closing #1409Additional Changes
Install / UpdatemacOS / Linux:
Windows:
Claude Code Plugin: Run /plugin in Claude Code, find plannotator, and click "Update now".
Pi: Update @plannotator/pi-extension to 0.27.10 and restart Pi.
OpenCode: Clear cache and restart:
What's Changed
CommunityThis release is community-shaped end to end. @jj-valentine requested undo/redo hotkeys for annotations in #828, and that request is now the bounded history system in both review surfaces. @grncdr filed the stale short-link report in #798 with a clean reproduction of the round-trip that dropped annotations. @smartobc-stephen reported the npm 12 agent-terminal failure in #1409 with a root-cause analysis so precise the fix followed it almost line for line. The auto-viewed feature and the OpenCode 2 command work both came from user reports and requests reaching us directly, and a Firefox user's report of vanishing hero text led to the forced-colors fix on the site. Thank you all. Plannotator gets better because you tell us where it falls short. Full Changelog: v0.27.9...v0.27.10 |
Key Features of Plannotator
Plan Review System
One of Plannotator's core capabilities is reviewing plans generated by AI agents before execution.
Developers can examine:
Proposed tasks
Implementation strategies
Agent reasoning
Planned file modifications
Workflow sequences
This visibility helps reduce unintended changes and costly mistakes.
Annotation Tools
The platform allows users to add comments, notes, and guidance directly to AI-generated plans.
These annotations can be used to:
Clarify requirements
Correct misunderstandings
Provide context
Guide future agent actions
AI Code Review
Plannotator extends the review process beyond planning by supporting inspection of generated code.
Developers can:
Review modifications
Analyze diffs
Leave comments
Request revisions
Validate implementation details
This workflow resembles modern pull-request review systems.
Human-in-the-Loop Workflows
A major design goal is ensuring that AI actions remain subject to human approval.
Organizations can establish review processes where important actions require validation before execution.
Open Source Foundation
Plannotator is open source, allowing teams to inspect, modify, and self-host the platform according to their needs.
This transparency is particularly valuable for organizations adopting AI-assisted software development.
User Experience
The interface is designed around review workflows rather than direct code generation.
Instead of interacting with a chatbot, users primarily:
Receive agent-generated plans
Review proposed actions
Add feedback
Approve or reject changes
Monitor execution results
The workflow feels familiar to developers accustomed to pull requests, code reviews, and project planning tools.
Productivity Benefits
As AI coding tools become more autonomous, review processes become increasingly important.
Plannotator helps organizations:
Reduce risky AI actions
Improve code quality
Increase accountability
Preserve architectural consistency
Encourage collaboration between developers and AI agents
For teams adopting AI-driven development, these safeguards can be as valuable as the coding agents themselves.
Collaboration Features
The platform supports collaborative review workflows where multiple team members can participate in evaluating AI-generated outputs.
This allows:
Peer review
Team approval processes
Shared annotations
Collective decision-making
Such features are especially useful for larger engineering teams.
Performance
Because Plannotator focuses on workflow management and review rather than model inference, performance largely depends on the connected AI agents and integrations.
The platform itself is lightweight and primarily serves as an orchestration and review layer.
Open Source Advantages
Being open source provides several benefits:
Transparent development
Self-hosting capabilities
Custom integrations
Community contributions
Vendor independence
Organizations concerned about compliance, security, or proprietary workflows may find these advantages particularly appealing.
Limitations
Plannotator is designed as a companion tool rather than a complete AI development platform.
Common limitations include:
Requires external AI coding agents
Best suited for teams already using AI-assisted development
Smaller ecosystem than mature developer platforms
Additional review steps may slow rapid prototyping
Some users may prefer fully autonomous workflows
The software delivers the most value in environments where oversight and quality control are priorities.
Pros
Improves transparency of AI-generated plans
Supports structured review workflows
Human-in-the-loop design
Useful annotation system
Open source
Self-hosting support
Familiar review experience for developers
Helps reduce AI-generated mistakes
Cons
Not a standalone coding agent
Requires integration with AI development tools
Smaller community than established developer platforms
Adds review overhead to workflows
Best suited for teams rather than casual users
Who Should Use Plannotator?
Plannotator is ideal for:
Software development teams
Engineering managers
AI-assisted development workflows
Organizations adopting coding agents
Open-source projects
Teams prioritizing code quality and governance
It is particularly valuable for environments where AI-generated code requires oversight before reaching production systems.
Plannotator fills an increasingly important role in the AI development ecosystem by providing visibility and control over AI-generated plans and code changes. Its focus on human oversight, structured reviews, and collaborative workflows makes it a useful companion for modern coding agents. While it is not a replacement for AI coding tools themselves, it offers a practical solution for teams seeking greater confidence and accountability in AI-assisted software development.
Developer:
backnotprop
Operating System:
Windows / macOS / Linux
Date Added:
2026-08-31T23:00:22.569Z
Categories:

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