... have released Invoke v0.10.20, which introduces several workflow improvements and UI refinements. Here is a summary of what is included in this release. Added User-Defined Slash Commands You can now create custom slash commands by adding markdown files to your .invoke/commands

... Invoke 0.10.18 is now available. Automation You can now create scheduled tasks powered by AI agent steps ... ... custom schedules, run manually and create automation directly from the agent using the /automation command. Terminal Drag-to-Split Drag terminal tabs into the content area to create splits. Full drag-to-split and unsplit support is included. Download: invoke.yugin.co

... corrected LSP recovery process improved for better session resumption Autocomplete context refined for more accurate suggestions Editor tab strip UI polished View menu reorganized for better navigation on Windows and Linux Download v0.10.21 now and experience the improvements firsthand. https://invoke.yugin.co/downlaod Comment from Judith Wang(@judith_wang): voice input running fully on device is a strong privacy direction I like that you are not pushing cloud processing for something so sensitive Comment from Mukesh Kumar(@new_user___090202674ab6e030a7a9c52): @judith ...

... handle well? We did too. Orchestrator Mode breaks your task into phases, spins up specialized sub-agents (plan, code, browser), coordinates them, and tracks progress automatically. You describe the goal it manages the rest. Available for subscribed users. Docs invoke.yugin.co/docs/modes/orchestrator_mode Built-in API Client Why should you need a separate app just to test your APIs? We built a full API client right into Invoke

... everyone One of the most requested things since we launched Invoke? Linux support. We get it if you're building with AI agents, chances ... ... Linux. Why should you be left out? So we made it happen. Invoke

... Code reviews now consume credits based on the model and review size. 50% credit rollover still applies unused credits carry over monthly. The Free plan is unchanged bring your own API keys and use Invoke at no cost. Pricing https://invoke.yugin.co

... long chat message. Just show it. Use it for: Feature roadmaps Architecture design Step-by-step implementation plans Dependency mapping Auto layout, zoom controls, minimap, and a board library to manage all your plans. Plan visually. Build with Invoke ...

... Describe what you want. Invoke's AI generates the design and shows you a live preview desktop, tablet, and mobile. Not quite right? Just tell it what to change. Tweak the layout, adjust colors, rearrange elements. Keep iterating until it looks exactly how you want. When the design feels right, hit Build . Canvas writes real, production code directly into your codebase. Not a mockup. Not a prototype. Actual code. Edit visually too select elements, drag to reposition, resize with handles ... ... double-click to edit text. Every version gets saved as a snapshot. Go back to any previous iteration anytime. Go from idea to interface to implementation without leaving Invoke

... click and Invoke creates an isolated fork of your entire project. Experiment freely try new features, refactor, break things.Your original codebase stays completely untouched. Work on both the original and the fork side by side. Test ideas without risk. When something doesn't work, just discard it. No git stash gymnastics. No "let me save this branch just in case." Build fearlessly and the best part of Sandbox? Merging. When your experiment works and you're ready to bring ... ... back just hit merge. Invoke

... flagship, unified system that automatically routes simple prompts down a fast path and heftier queries into its deep-thinking core. Priced at $1.25 per 1 M input tokens and $10 per 1 M output tokens. GPT-5 Thinking Invoke by typing think hard or toggling it in Plus, Pro, or Team. This engages the deeper-reasoning model for multi-step logic and complex problem solving. Same pricing as GPT-5. GPT-Thinking Pro Available to Pro and Team subscribers. Extends ... ... like button. Benchmarks, benchmarks, benchmarks Benchmarks should always be taken with a grain of salt . They are effectively a snapshot of a models capabilities under near perfect conditions. Sort of like the Big Mac you see on the ads vs