Juggler vs screenpipe: Features, Pricing & Which Is Better (2026)

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

Juggler

Julian Storer

Free

A native desktop workbench for AI coding agents with branching conversation trees, inspectable tool calls and editable context.

Branching Conversation Trees: Fork the session at any point, recursively, so competing approaches and tangents run side by side without polluting the main context.
Miller Column Navigation: A Finder-style column layout lays out tool calls, item properties and nested sub-threads for long reading and editing sessions.
Transaction Inspector: Open any model transaction to see the assembled system prompt, messages, tool definitions, output, token use, timing and stop reason.
The Context Surgeon: Fold history into a new thread, move or copy items between branches, expand a branch back into its parent, and undo structural changes.
Local or Remote Sessions: Run the desktop app locally or the headless binary on the machine holding the code, then attach from the app, a browser or a phone.
Durable Sessions: Sessions are stored on disk as live-synced Yjs documents, so quits, relaunches and dropped connections do not lose the conversation.
Automatic Context Sizing: Juggler measures the full request before each call, reserves room for the answer and compacts older history before limits become an error.
Inspectable MCP Tools: Follow an MCP handoff end to end - schema offered, arguments generated, approval, result and errors - with server status, logs and per-tool filtering.
JavaScript Extension SDK: Context items, LLM loop strategies, slash commands, viewers and Pinboard tabs are extensions you can fork or replace, under a permissive Apache-2.0 SDK.

Exploring Competing Fixes: Branch a thread into two sub-threads to try different approaches to the same bug and compare results before committing.
Auditing Agent Behavior: Inspect exactly what the model received and returned when an agent makes a surprising edit to the codebase.
Remote Development: Run the server on a dev box or GPU machine where the repository lives and drive the same live session from a laptop or browser.
Long Refactors: Keep a multi-hour session alive across quits and reconnects, with the agent paused awaiting approval for its next step.
Provider Comparison: Drive Claude Code, Codex, Copilot, Gemini and local Ollama models through one interface to compare behavior on the same task.
Custom Tooling: Write JavaScript extensions that add slash commands, file viewers or new LLM loop strategies to the workbench.

Screenpipe

Freemium

Local-first app that continuously records your screen and audio, then serves that computer history to AI agents via API and MCP.

Continuous Local Capture: Records screen and audio 24/7 into a local SQLite database, capturing the full accessibility tree with OCR fallback, transcripts, speakers, keystrokes and app switches.
Natural-Language AI Search: Ask what you saw, said or heard in plain language and jump back to the original on-screen evidence in seconds instead of retracing tabs.
Local REST API and MCP Server: Expose your history at localhost:3030 or add it to Claude, Cursor and other clients with one MCP command so any agent can query it.
Pipes and Automations: Build agents and scheduled tasks that react to what you actually do, such as updating Linear whenever you work on a given task or drafting a daily summary.
Automatic Meeting Notes: Transcribes calls with speaker attribution and produces notes and follow-ups without a separate meeting bot joining the call.
Privacy Filters and Encryption: Filter by window, app or Chrome extension, redact passwords and PII with a dedicated model, encrypt at rest, and run entirely offline.
50+ App Integrations: Push captured context into Notion, Gmail, Zoom, Slack and dozens of other tools already in your workflow.
Source-Available and Portable: Inspect, modify and audit the source, and keep your history in your own database rather than locked to one model vendor.

Recovering Lost Context: Find the document, message or screen you saw days ago by searching what was actually on your display rather than remembering where it lived.
Meeting Follow-Through: Automatically transcribe and summarize calls, then surface the commitments and follow-ups you would otherwise forget.
Grounding Coding Agents: Give Claude, Codex or a custom agent real evidence of your session so it works from what happened instead of guesswork.
Personal Daily Summaries: Generate an end-of-day recap and calendar blocks for critical tasks from your real activity, including into tools like Obsidian.
Project Audit Trails: Record the flow of information and instructions across multiple projects and file it per project for later review.
Discovering Automation Opportunities: Let the enterprise tier analyze repeated manual work to find savings and candidates for automation.