BiBimba vs Catenary: Features, Pricing & Which Is Better (2026)

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

BiBimba

mamama, inc.

Paid

A keyboard-driven Mac clipboard manager that OCRs screenshots and runs on-device AI to translate, summarize or rewrite what you copied.

Unified Clipboard Search: One search covers copied text, images, text recognized inside screenshots, and saved snippets, so you do not need to remember where something came from.
Automatic Screenshot OCR: Text in screenshots and copied images is read automatically, and a detected table can be converted to Markdown, JSON or HTML.
On-Device Text Actions: Translate, summarize, rewrite as a business email, turn into a bullet list, or reformat a table using on-device AI on compatible Macs.
Saved Custom Instructions: Store your own prompts as reusable actions and fire them on the current selection from the keyboard.
Pick and Paste: Choose an item from history and paste it directly back into the app you were using, either formatted or as plain text.
Global Keyboard Shortcuts: Dedicated shortcuts open history, pick-and-paste, snippets, screenshot capture, screen OCR and text actions without touching the mouse.
Local Retention Controls: History lives on your Mac with a configurable item count and age limit, automatic pruning of older entries, and manual deletion at any time.
Ten Interface Languages: Ships in Japanese, English, Simplified and Traditional Chinese, Korean, Spanish, French, German, Portuguese (BR) and Arabic.

Receipt and Invoice Capture: Screenshot a receipt, let OCR read the total, and search for it weeks later by amount or vendor.
Table Extraction: Turn a table captured in a screenshot into Markdown or JSON without retyping it into a spreadsheet.
Cross-Language Correspondence: Copy an incoming message, translate it on-device, and paste the reply back into the same app.
Email Polishing: Rewrite a rough draft into a business-email tone from the keyboard while staying inside the mail client.
Research Collection: Build a searchable archive of copied quotes, links and screenshots from a browsing session and retrieve any of them by keyword.
Confidential Work: Keep clipboard history and AI processing on-device so sensitive copied material never leaves the Mac.

Freemium

Local-first spatial IDE that orchestrates Claude Code, Codex, Cursor, and other coding agents on an infinite canvas with visual context wires.

Infinite Canvas: Terminals, Monaco editors, browsers, and git worktrees float on one pannable, zoomable surface so every agent stays visible at once.
Context Wires: Drag a directed wire between panels to pass context to another agent, set to relay automatically or act as a standing permission.
One-Click Worktrees: The New Task button creates an isolated branch, working directory, and agent, colour-coded across sidebar, dock, and canvas.
Monaco Diffs: VS Code's editor inside the canvas with git-aware file tree and side-by-side diffs of everything an agent touched.
Maestro Mode: One agent recruits, briefs, and wires a team of up to ten helpers, with an editable approval card before every action.
Multi-Project Parallelism: Run several projects at once, each with its own canvas and multiple isolated branches, with state preserved on switch.
Local-First Privacy: No account, no telemetry, and zero bytes of source code, prompts, or keys sent anywhere; only two outbound hosts total.
Bring Your Own Keys: Agent CLIs talk directly to Anthropic, OpenAI, or Google with your own keys, or to Ollama and LM Studio on localhost.

A developer runs three coding agents on separate branches simultaneously and watches all of them without losing track of any.
An engineer delegates a specific subtask from one agent to another by dragging a wire instead of copy-pasting context between windows.
A team working under strict data policies needs an agent IDE that provably never uploads source code.
A solo builder ships several experiments in parallel isolated worktrees without polluting the main working tree.
A reviewer wants side-by-side diffs of agent-authored changes before deciding what to keep.
A user orchestrates a self-organizing squad of agents while keeping human approval on every structural change.