Plannotator v0.28.8

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 v0.28.8 - Software Mirrors
Plannotator v0.28.8 for Windows plannotator-win32-x64.exe | 172.42 MB plannotator-win32-arm64.exe | 169.39 MB plannotator-paste-win32-x64.exe | 93.23 MB plannotator-paste-win32-arm64.exe | 90.2 MB
Plannotator v0.28.8 for macOS plannotator-paste-darwin-x64 | 65.97 MB plannotator-paste-darwin-arm64 | 60.51 MB plannotator-darwin-x64 | 145.16 MB plannotator-darwin-arm64 | 140.31 MB
Plannotator v0.28.8 for Linux plannotator-paste-linux-x64 | 89.3 MB plannotator-paste-linux-arm64 | 89.35 MB plannotator-linux-x64 | 168.49 MB plannotator-linux-arm64 | 168.54 MB
Plannotator v0.28.8 Source Code Plannotator v0.28.8 Source code (zip) Plannotator v0.28.8 Source code (tar.gz)
Plannotator v0.28.8 Release Notes: Follow @plannotator on X for updates Missed recent releases? v0.28.7: Ask this session keeps your drafts as drafts, image comments survive a reload, hostname check on every server v0.28.6: Ask AI names the lines you selected, reorder quick labels and edit their emoji, Pi fixed-port crash fixed, OpenCode 2 subagent notice fixed v0.28.5: Several files in one review, the plannotator tool on Pi and OpenCode 2, decisions name the exact file, Ask this session reconnects after sleep v0.28.4: Comments come back after the agent edits a file, the agent can list and close its reviews, PR-description feedback no longer dropped, Pi thinking levels v0.28.3: Typing into your agent while it answers an Ask no longer streams into Plannotator v0.28.2: Question cards show wrapped choices and tables, pinned images named by their file, Done with nothing to send starts no agent turn v0.28.1: Ask AI from diagram comments, pinned images named for the agent, OpenCode 1 URL toasts and one reply per feedback, folder feedback sent once v0.28.0: Ask this session in Claude Code, Pi and OpenCode 2, Claude Code mod on by default, Pi plan review no longer blocks, first-run demo v0.27.25: Code review works with color.diff = always, Bitbucket review fixes, wide tables no longer collapse in Firefox, install script fix v0.27.24: Image previews stay in the all-files view, PR comment previews open on the commented line v0.27.23: Bitbucket Cloud PR review, Question UI for answering agents in place, opt-in auto-update, viewed files remembered, review another repo or worktree What's New in v0.28.8 This release brings the Plannotator Inbox (preview): one local window where your agents leave you messages, questions, files and guided reviews, and where your reply goes back to the session that asked. The Plannotator Inbox (preview) Agents often need you for one thing: a choice, a check, a look at a file. Until now that meant a review tab per question, or a question buried in the terminal. The Inbox collects all of it in one window on your machine: Threads by project. Each agent conversation is a row, grouped in sections: Stopped on you, Holding up work, Waiting on you, Sent, New since you looked, and Quiet. Filter by project in the sidebar. Questions you answer with a click. Agents ask with the same :::question cards plan review uses. Pick, add a note, press Send. Files and annotations. Files an agent attached open beside the thread (markdown, text, HTML, Mermaid, Graphviz). Annotate them as in Plannotator; the annotations go with your reply. If the agent changed a file after sending it, the Inbox says so and can show the version it sent. Decisions. A question can record your answer as a project decision, listed on a Decisions page. Guided reviews. An agent can send a guided review of a code change into a thread. New message. Write to an agent session that is running now, without waiting for it to ask. Browser notifications while the tab is in the background, if you allow them. Your reply wakes the agent that asked. Claude Code (with the Plannotator mod) gets a plannotator_inbox tool, on by default. Pi and OpenCode 2 get the same tool, off by default because they send every tool's definition with each request: turn it on with PLANNOTATOR_INBOX_TOOL=1. Any other agent can connect through MCP with plannotator inbox mcp; the Inbox's Settings show the exact command for your agent. It is local only: it listens on 127.0.0.1, needs no account, and keeps everything under ~/.plannotator/inbox. Start it with: bash plannotator inbox You never have to keep it running: an agent starts it in the background when it needs it, without opening a tab. plannotator uninstall --purge removes its data. Full reference: plannotator.ai/docs/reference/inbox. Additional Changes Question cards for host apps. @plannotator/ui 0.52.1 can show the "Records a decision" switch on any question and open a host's own decision card from it. Plannotator's own cards are unchanged (#1753). Install / Update macOS / Linux: bash curl -fsSL https://plannotator.ai/install.sh | bash Windows: powershell irm https://plannotator.ai/install.ps1 | iex Claude Code Plugin: The plugin and the plannotator binary update separately, so run the install script above as well. In a terminal: bash claude plugin marketplace update plannotator claude plugin update plannotator@plannotator Then restart Claude Code. Inside Claude Code, run /plugin marketplace update plannotator, then open /plugin → Installed → plannotator → Update now. Pi: bash pi update --extensions OpenCode: Re-run the install script above. It now also clears the OpenCode 2 plugin cache. What's Changed The Plannotator Inbox, built across #1745, #1752, #1755, #1756, #1757, #1758, #1759, #1760, #1761, #1763, #1764, #1766, #1767, #1768 and #1769 by @backnotprop ui: decision toggle on any question, and a separate opener for the host's decision card by @backnotprop in #1753 Full Changelog: v0.28.7...v0.28.8

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:

1. Receive agent-generated plans

2. Review proposed actions

3. Add feedback

4. Approve or reject changes

5. 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.

Free

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Software Informations:
Developer:
backnotprop
Operating System:
Windows / macOS / Linux
Date Added:
2026-10-07T23:04:09.342Z
Categories:

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