Plannotator
Free, local review workspace for plans and code diffs from terminal AI coding agents.
If you run Claude Code, Codex, Copilot, Gemini, OpenCode, or Pi in a terminal, Plannotator is a free, local human-in-the-loop layer that costs you one curl command. It differs from hosted review tools such as CodeRabbit because review data stays on your machine by default and the code is open source under MIT or Apache 2.0. The genuine weakness is team collaboration: shared plans and review history live behind the Workspaces waitlist, so if you need hosted multi-user review today, a hosted tool is the practical answer. For solo developers and small teams who mainly want to approve or deny plans and diffs with structured feedback, there is little to lose.
Verified 3d ago · liveness 77/100 · cite: rightaichoice.com/tools/plannotator
- Solo developers using plan-mode terminal agents who want structured approval before execution
- Small teams doing diff-based review of agent-generated code
- Users of Claude Code, Codex, OpenCode, or Pi who want a better review surface than raw terminal text
- Privacy-conscious developers who want review data to stay on their machine by default
- Teams that need shared review history and user accounts today, since Workspaces is listed as coming soon with a waitlist
- Developers who don't work with terminal-based plan-mode coding agents
- Teams looking for multi-agent orchestration or complex workflow automation
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Skip Plannotator if you need shared, multi-user review history with accounts today, since its hosted Workspaces layer is listed as coming soon with a waitlist.
The local plugin is free and open source under MIT or Apache 2.0, which puts it below paid hosted code-review subscriptions such as CodeRabbit — you pay with setup effort and by running the review surface yourself rather than with a monthly seat fee.
In short
Plannotator — Free, local review workspace for plans and code diffs from terminal AI coding agents. Best for Solo developers using plan-mode terminal agents who want structured approval before execution, Small teams doing diff-based review of agent-generated code, Users of Claude Code, Codex, OpenCode, or Pi who want a better review surface than raw terminal text. Free to use.
What people actually say about Plannotator — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
61 mentions across 5 sources (Hacker News, YouTube, Product Hunt, GitHub, Lemmy) · researched Aug 13, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Local-first and open source, ensuring privacy and no vendor lock-in.
- +Inline annotation of plans and diffs improves feedback ergonomics vastly.
- +Plan diff view shows changes between agent iterations clearly.
- +Structured feedback export integrates seamlessly back into agent sessions.
- +Supports multiple agents: Claude Code, Codex, Copilot, OpenCode, and more.
- −Browser auto-open fails intermittently for some users.
- −OpenCode Beta desktop lacks plan mode annotation support.
- −Windows install script fails on PowerShell, blocking setup.
- −Hosted team features (Workspaces) are waitlist-only, not available yet.
- −Some users report confusion when submit_plan doesn't appear.
- • No hidden costs for the free tier, but the hosted team layer is not yet available
- • Potential paid version mentioned by the author on Hacker News, but no details yet
Viability Score
How well maintained and how widely used is Plannotator? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Automatic hook into your agent's plan-approval step
- Inline comments on any section of a plan
- Mark deletions to remove scope from a plan
- Write replacement text for plan sections
- Structured feedback export sent directly to the agent
- /plannotator-review diff viewer for uncommitted local changes
- Side-by-side and unified diff views
- File tree navigation for multi-file diffs
- Line-level code annotations with code suggestions
- Stage or unstage files before committing
- /plannotator-annotate for markdown, specs, folders, and URLs
- /plannotator-last to annotate the agent's most recent message
- Version history with diffs between plan revisions
- Draft auto-save surviving server crashes and restarts
- Link sharing via URL fragments and encrypted short links
About Plannotator
Plannotator is an open-source, browser-based review surface for plans and code diffs produced by terminal AI coding agents. Instead of reading raw terminal output, you annotate inline on a real workspace: write comments on any section, mark scope for deletion, or supply replacement text. The same workflow applies to code — the /plannotator-review command opens a PR-style diff viewer for your agent's uncommitted changes, with side-by-side or unified views, a file tree for multi-file diffs, line-level annotations with code suggestions, and staging controls before you commit. Plannotator hooks into your agent's plan-approval step automatically, so the review happens where you already work, and your annotations export as structured feedback the agent reads directly — no copy-pasting. Version history saves every plan revision with diffs between iterations, and draft auto-save keeps annotations alive through server crashes and restarts. Review data stays local by default, with no usage telemetry or analytics stated on the site. Install is a single curl command, and commands like /plannotator-annotate, /plannotator-review, and /plannotator-last plug into agents that support plan mode, plus VS Code, Obsidian, and Bear. You can also review GitHub PRs by URL, or annotate any markdown file, folder, or web page. Plannotator also tracks a denial history so you can spot patterns in what you keep rejecting and improve your agent prompts. Workspaces, a hosted layer for shared plans, review history, integrations, and verification standards, is listed as coming soon with a public waitlist; the local plugin stays free and open source under MIT or Apache 2.0, at your option.
Behind the Verdict
The problem Plannotator targets is real and specific: terminal agents propose plans as walls of text, and approving them by scrolling and squinting is how bad scope gets built. Plannotator intercepts that approval step and puts the plan on a proper review surface. You select text, comment, mark deletions, or type a replacement, and those annotations export as structured feedback the agent reads — the site is explicit that feedback flows back with no copy-pasting. The code side is not an afterthought. Running /plannotator-review gives you a diff viewer for your agent's uncommitted changes with side-by-side or unified views, a file tree, line-level annotations with code suggestions, and stage/unstage controls before you commit. That is the same review habit you already apply to human pull requests, pointed at machine output. Several details show the tool is built by people who actually use these agents. Version history stores every plan revision with diffs between iterations, so you can see what the agent changed after your feedback. Draft auto-save keeps annotations alive across server crashes and restarts. Denial history analysis lets you mine what you keep rejecting and fix your prompts rather than re-rejecting forever. And sharing is handled without a server account: URL fragments for small shares, encrypted short links for larger and HTML shares. Where it fits: solo developers and small teams who use plan-mode agents, want privacy by default, and would rather not pay a subscription for review. Where it does not: teams that need shared review history, user accounts, and multi-person workflows right now — Plannotator's own site lists Workspaces, the hosted layer for shared plans and review history, as coming soon with a waitlist. That is a roadmap statement, not a hidden limitation. Editorially, the risk profile is unusually low. It is free, the data stays local, and the license is permissive, so trying it costs an afternoon rather than a budget cycle. The tradeoff is that you are running a local plugin rather than a managed service, which means you own your own setup, and the hosted collaboration story is still ahead of you rather than behind you.
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Real-world workflow fit
Concrete scenarios for the personas Plannotator actually fits — and what changes day-one when you adopt it.
You ask Claude Code for a refactor plan; Plannotator intercepts the approval step and opens the plan in a browser workspace. You comment on two sections, mark one for deletion, and write a replacement for the migration step, then deny with feedback.
Outcome: The agent revises against your exact annotations instead of re-prompting from scratch, and you approve only the scope you actually want built.
After the agent finishes, you run /plannotator-review, open the diff in side-by-side view, walk the file tree, and leave a line-level code suggestion on one function before staging the rest.
Outcome: The uncommitted changes get the same review treatment as a human pull request, and only the files you staged make it into the commit.
You annotate a plan, generate an encrypted short link for the larger share, and send it to a teammate, who adds their own annotations in the same workspace before the agent proceeds.
Outcome: Both sets of feedback reach the agent as structured annotations rather than a chat thread of pasted text.
Use Cases
- Annotate a Claude Code plan inline before you approve or deny execution, marking sections to delete and sections to replace.
- Review an agent's uncommitted changes in a PR-style diff viewer and leave line-level code suggestions before committing.
- Share a plan review with a teammate using an encrypted short link so they can add annotations before the agent proceeds.
- Analyze your denial history to find patterns in what you keep rejecting and rewrite your agent prompts accordingly.
- Annotate a spec, markdown file, folder, or URL and send the feedback to a coding agent through /plannotator-annotate.
- Compare plan revisions side by side during a long iterative session to see exactly what changed after your feedback.
Limitations
- Plannotator runs as a local plugin, so you set it up and run it on your own machine rather than through a managed service.
- It works with plan-mode agents — interactively where hooks are supported, via slash commands where they fit — and the documentation notes it is not tied to a specific underlying AI model.
- Team collaboration through the hosted Workspaces layer, which covers shared plans and review history, is listed as coming soon and currently has a public waitlist, so shared multi-person review is not something the local plugin provides.
- There is no native mobile app; the review surface is the browser workspace on desktop, plus editor integrations such as VS Code, Obsidian, and Bear.
as of 2026-10-05
Verification history
We have re-verified Plannotator 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Plannotator tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Local Plugin
$0/mo
Ideal for
Solo developers and small teams who use plan-mode terminal agents and want review data to stay on their own machine.
What this tier adds
Free entry point: plan and code review, version history, draft auto-save, local-only data, and open-source licensing under MIT or Apache 2.0.
Workspaces
Waitlist (TBD)
Ideal for
Teams that want shared plans and review history across multiple reviewers and agents.
What this tier adds
Adds the hosted team layer — shared plans, review history, integrations, and verification standards — on top of the free local plugin; listed with a public waitlist.
Where the pricing makes sense
The company stage and team size where Plannotator's pricing actually pencils out — and where peers do it cheaper.
The local plugin is free and open source under MIT or Apache 2.0, which puts it below paid hosted code-review subscriptions such as CodeRabbit — you pay with setup effort and by running the review surface yourself rather than with a monthly seat fee.
Setup time & first value
How long it actually takes to get something useful out of Plannotator — broken out by persona, not the marketing-page minute.
Install is a single curl command, so first value for a solo developer is typically one session — install, run /plannotator-annotate or let the plan hook fire, and send your first structured feedback. Editor integrations such as VS Code, Obsidian, and Bear each take a separate configuration step, and teams should budget extra time since the hosted Workspaces collaboration layer is still waitlisted.
Switching to or from Plannotator
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From reading raw terminal output: install via the curl command and let Plannotator intercept your agent's plan-approval step, so review moves to a browser workspace.
- →From pasting agent plans into a chat or doc: use /plannotator-annotate on the plan file or URL and send annotations back to the agent as structured feedback.
- →From reviewing diffs in git alone: run /plannotator-review to get a PR-style viewer for uncommitted changes with line-level suggestions and staging.
- ↗To a hosted code-review service: if you need multi-user review history and accounts before Workspaces ships, hosted tools such as CodeRabbit remain the fallback.
- ↗To a plain git workflow: since Plannotator only reads and annotates local changes, you can drop the plugin and keep committing with git directly.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Plannotator”, and we withheld 6: 6 could not be judged, because “Plannotator” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Plannotator.
Official links
Tools that pair well with Plannotator
Common stack mates teams adopt alongside Plannotator, with the specific reason each pairing earns its keep.
GitHub Copilot
GitHub Copilot is an AI coding agent that completes code, reviews pull requests, and runs Copilot, Claude, and Codex agents inside GitHub
Qodo
AI code review and governance that gives your coding agents a quality counterpart.
Ponytail
Ponytail is a free, MIT-licensed ruleset that makes AI coding agents write the least code that works.
Featured Head-to-Head Comparisons
Plannotator vs Spider Cloud
Plannotator and Spider Cloud serve fundamentally different needs. Plannotator is ideal for developers who want a rich, privacy-focused UI to review and annotate plans and diffs from AI coding agents. Spider Cloud excels at high-volume web scraping and data extraction for AI pipelines. Choose Plannotator if your bottleneck is agent plan quality and approval workflow; choose Spider Cloud if your team needs reliable, scalable web data to feed LLMs or RAG systems.
Plannotator vs Temporal Ai
Plannotator and Temporal AI solve entirely different problems. Plannotator is a lightweight, free, privacy-focused tool for reviewing agent-generated plans and diffs before execution — ideal for solo developers using terminal-based coding agents. Temporal AI is a heavyweight durable execution platform for orchestrating complex, fault-tolerant AI workflows at scale. Most users will need one or the other, not both. If your bottleneck is reviewing agent output, choose Plannotator. If your bottleneck is reliability and state management across distributed agent steps, choose Temporal AI.
Plannotator vs Voyage Ai
Voyage AI and Plannotator serve entirely different needs: Voyage is an enterprise embedding platform for RAG pipelines, while Plannotator is a free, local review tool for AI coding agents. Choose Voyage if you need domain-specialized embeddings for search/retrieval at scale; pick Plannotator if you're a developer wanting to visually annotate agent plans and diffs before execution.
Plannotator vs Shipixen
If you're deep into AI coding agents like Claude Code or Codex and need a visual review layer for plans and diffs, Plannotator is a must-have—and it's free. If you're shipping a product fast and need a polished Next.js landing page with zero design fuss, Shipixen saves hours with its theme library and one-click deploy. They solve entirely different problems.
Alternatives to Plannotator
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GitHub Copilot is an AI coding agent that completes code, reviews pull requests, and runs Copilot, Claude, and Codex agents inside GitHub
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