plannotator

Product Introduction

1. Definition: Plannotator is a local, open-source workspace utility and developer tool designed specifically for human-in-the-loop control over AI coding agents. Categorized within the developer tooling and AI agent orchestration ecosystem, it operates via a local server and terminal integration, supporting popular AI frameworks and command-line interfaces such as Claude Code, OpenCode, Pi, Codex, Copilot, and Droid.
2. Core Value Proposition: Plannotator solves the lack of granular oversight in terminal-based AI coding workflows by providing a structured, graphical environment for AI agent plan review, code diff inspection, and inline annotations. By intercepting agent workflows before code execution, it ensures developers can securely own their AI-generated specifications, maintain total data privacy locally, and route structured feedback directly back to the coding agent without context loss or manual copy-pasting.

Main Features

1. Plan Review and Inline Annotations: Plannotator automatically hooks into AI agent plan steps, presenting proposed roadmaps in a dedicated local workspace. Developers can select specific text blocks within markdown specs, mark lines for deletion, add inline comments, or write direct replacements. These annotations export automatically as structured feedback that the AI agent natively understands. The platform tracks every plan revision with built-in plan diffs, features auto-save functionality to protect against crashes, and supports native integrations with VS Code, Obsidian, and Bear for seamless vault and editor workflows.
2. Code Review Diff Viewer: Bringing human pull-request workflows to uncommitted agent changes, Plannotator provides a dedicated code review interface for local diffs and GitHub or GitLab PR URLs. It features side-by-side or unified diff views, comprehensive file tree navigation, line-level annotations with code suggestions, and the ability to stage or unstage individual files before committing. The system parses changes efficiently to surface exact modifications made by the AI.
3. Plannotator Inbox & Local Security Architecture: The centralized Inbox aggregates agent questions, proposed plans, and review requests into a single local window, eliminating terminal context switching. Built with strict privacy controls, all review data, version histories, and configurations stay entirely local by default with zero usage telemetry or analytics. For lightweight sharing, it generates URL fragments, while larger shares utilize encrypted short links and HTML exports, complemented by the upcoming hosted "Workspaces" layer for team collaboration.

Problems Solved

1. Pain Point: AI coding agents frequently execute autonomous terminal actions or generate multi-file code modifications based on poorly scoped plans, leading to broken builds, hallucinated logic, and context fragmentation across multiple terminal windows. Developers lack an efficient way to intercept, critique, and surgically correct agent plans before code generation begins.
2. Target Audience: Full-stack software engineers, DevOps professionals, open-source maintainers, and technical team leads who heavily utilize terminal-based AI coding assistants (such as Claude Code or Codex) and require strict code quality gates, compliance, and deterministic execution control.
3. Use Cases: Intercepting complex multi-file refactoring plans generated by Claude Code to delete unwanted scope modifications before execution; conducting rigorous side-by-side diff reviews on local uncommitted changes produced by coding agents; centralizing disparate agent queries into a single review inbox; and exporting annotated markdown specifications directly into local Markdown vaults like Obsidian for historical tracking.

Unique Advantages

1. Strengths & Limitations (Pros & Cons):
   • Pros: 100% local-first data privacy with zero tracking or telemetry; native terminal integration (curl installer and hook/slash command support); structured, actionable feedback loops that bypass tedious manual copy-pasting; robust version history tracking for plan iterations; free and open-source under MIT/Apache 2.0 licenses.
   • Cons: Requires CLI setup and configuration within existing agent workflows; currently optimized primarily for local environments, with team-based hosted workspaces still on the waitlist; limited to AI agents that natively support hook mechanisms or structured plan steps.
2. Key Alternatives & Differentiation: Unlike native chat interfaces within IDE extensions (e.g., standard GitHub Copilot chat or Cursor chat) which rely on conversational chat prompts to fix bad agent outputs, Plannotator acts as a dedicated architectural gatekeeper using explicit PR-style diff views and surgical text annotations. Compared to managing raw markdown files manually in a text editor, Plannotator automates the intercept-and-feedback pipeline, bridging the gap between raw terminal agents and structured code review methodologies.

Frequently Asked Questions (FAQ)

1. How do I install and configure Plannotator with my AI coding agent? You can install Plannotator locally via terminal using the official installation script (curl -fsSL https://plannotator.ai/install.sh | bash). It automatically integrates via hooks and slash commands where supported, routing plan steps and uncommitted diff reviews directly into your local Plannotator window.
2. Is my code and review data sent to external servers? No. Plannotator runs entirely locally on your machine by default. Review data, code diffs, plan histories, and annotations remain strictly local with zero usage telemetry or analytics. Optional sharing features use encrypted short links or local URL fragments only when explicitly triggered by the user.
3. Which AI coding agents and editors are currently supported? Plannotator natively integrates with a wide range of popular developer tools and AI agents, including Claude Code, OpenCode, Pi, Codex, Copilot, Droid, Gemini, and Kiro. For editing and documentation, it integrates seamlessly with VS Code, Obsidian, and Bear.
4. Is Plannotator free to use? Yes, the core local plugin is completely free and open-source, licensed under the MIT or Apache 2.0 license at your option. Upcoming features like team-managed shared workspaces, advanced review history layers, and enterprise verification standards are offered via a hosted tier currently available on the waitlist.