Atlaso vs Woven Video: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Atlaso and Woven Video — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Atlaso

Atlaso Labs

Freemium

Shared AI memory layer that lets Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity read and write from one persistent memory.

Cross-Tool Shared Memory: One persistent memory that Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity read from and write to automatically.
Automatic Capture & Recall: Facts, decisions, and preferences are captured as you work and recalled by whichever AI tool needs them next.
Conflict Resolution: Repeated facts, contradictions, and confidence are tracked so the memory knows what's settled vs. what's still open.
Memory Health Dashboard: Web dashboard shows memory power, breadth, agreement percentage, and buckets memories as Helpful / Caution / Open / Warnings.
Personal + Per-Project Scopes: Separate personal and per-project memory scopes keep unrelated contexts from bleeding into each other.
Secrets Scrubbed Before Storage: Secrets are stripped before anything is written to the shared memory layer.
One-Line Install: Single curl-based installer for macOS, Linux, and Windows Terminal.

Multi-Tool Developers: Engineers who bounce between Claude Code, Cursor, and Codex stop re-explaining project context in every session.
Long-Running Projects: Teams keep decisions like 'launch moved from January to March' visible to every AI tool without a status doc.
Personal Preferences: One-time preferences ('Sarah prefers async standups', 'demo day is first Friday') stick across tools.
Onboarding New Tools: When you add a new AI tool, it inherits everything your other tools already know.
Reducing Hallucinated Facts: Contradiction tracking flags outdated facts (like 'old pricing deck still in circulation') so tools don't reuse them.

Woven Labs

Paid

Native macOS AI video editor: ask for the edit in chat, then fine-tune it on a real multi-track timeline.

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.

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.