Code Review Graph vs Woven Video: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Code Review Graph and Woven Video — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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Code Review Graph
tirth8205
Code Review Graph is a local-first code intelligence graph for MCP and CLI that cuts AI coding tool context by mapping only what matters.
Key features
- Persistent Repo Graph: Builds and maintains a graph of the codebase's symbols, references, and structure so lookups are instant on subsequent runs.
- MCP Server Integration: Exposes the graph as an MCP server so Claude Code, Cursor, and other MCP-compatible agents can query it directly.
- CLI Access: A first-class command-line interface lets developers query the graph without an agent in the loop.
- Task-Scoped Context Slices: Instead of loading whole files, returns only the pieces of code an AI tool needs — with benchmarked context reductions.
- Local-First Privacy: All indexing and serving runs on the developer's machine, so source code never leaves the environment.
- PyPI Distribution: Installs with a single `pip install code-review-graph` and works on any Python 3.10+ setup.
Best for
- Cheaper AI Code Reviews: Feed only the relevant slices of a change to a review agent so token spend on large PRs stays low.
- Large Monorepo Workflows: Give coding agents targeted context in repos too big to fit into any model's window.
- MCP-Compatible Agent Enhancement: Plug into Claude Code or Cursor as an MCP server to add repo-aware retrieval.
- Local Refactor Planning: Use the CLI to explore dependencies and impact before making cross-cutting changes.
- Air-Gapped Codebases: Keep proprietary source local while still using AI tools that consume the graph rather than raw files.
- Onboarding Assistance: Help new engineers navigate a large codebase by querying the graph for related symbols and callers.
Woven Video
Woven Labs
Native macOS AI video editor: ask for the edit in chat, then fine-tune it on a real multi-track timeline.
Key features
- Chat-Based Editing: Describe the edit in plain language and Woven applies it to your footage on the timeline.
- Real Multi-Track Timeline: Fine-tune any AI-made edit manually with a full timeline instead of a black-box result.
- Caption Styles: Word-by-word highlight, progressive build-up, or classic subtitles for short-form video.
- Transitions and Text Animation: Fade, whip, flash, glitch and zoom transitions plus pop, typewriter and loop text effects.
- Built-in Sound Effects: A library of 35 sound effects with keyboard triggers to add whooshes, pops and impacts.
- Agent Integration: Paste a setup prompt into Claude Code or Codex so the agent can request edits that appear in Woven.
- Media Generation: Generate images, video and music with Woven-hosted models using monthly credits.
Best for
- YouTube Production: Cutting long-form videos by describing edits instead of scrubbing manually.
- Short-Form Content: Producing Reels, TikToks and Shorts with captions and effects.
- Podcast Clips: Turning podcast recordings into captioned video clips.
- Gaming Videos: Editing gameplay footage quickly with sound effects and transitions.
- Product Demos and Ads: Assembling polished promo videos with AI presenters and generated media.
- Agent-Driven Workflows: Letting a coding agent request edits through the connected editor.