Invoke
Visual AI coding IDE with Boards planning, parallel agents, and BYOK
Invoke rewards planners: the visual Boards plus parallel agents genuinely speed up multi-file work. The credit system adds a cost layer you must track, and smaller edits are easier in plain chat tools. Worth the setup if you sketch before you code.
Verified 15d ago · liveness 70/100 · cite: rightaichoice.com/tools/invoke
- Solo developers building multi-file features who want to map dependencies visually
- Small teams needing parallel agents to tackle independent tasks
- Power users who want custom slash commands, sub-agent configuration, and thinking-effort tuning
- Developers who want BYOK (OpenAI, Anthropic, Google, xAI, Ollama) to control cost and privacy
- Beginners looking for a simple chat interface
- Users who want a flat subscription without monitoring monthly credits
- Developers who don't need visual planning before coding
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Skip Invoke if you prefer a simple chat-based autocomplete plugin without upfront planning, or if you don't want to monitor credits—quick edits are faster in Cursor or GitHub Copilot.
Paid plans use a credit system: code reviews and agent loops consume credits, so heavy use can exhaust your monthly allowance and pause AI until top-up.
Invoke's freemium model suits solo developers and small teams who want control over AI costs via BYOK. Paid tiers start at $20/mo (Starter), cheaper than Cursor's $20/mo Pro but with a credit system that can add up. For heavy multi-agent use, Pro at $50/mo offers more credits, but compare total cost with provider API fees.
In short
Invoke — Visual AI coding IDE with Boards planning, parallel agents, and BYOK. Best for Solo developers building multi-file features who want to map dependencies visually, Small teams needing parallel agents to tackle independent tasks, Power users who want custom slash commands, sub-agent configuration, and thinking-effort tuning. Free to start; paid plans from $20/mo.
What's new in Invoke
Checked 6 days agoAcross the latest 5 updates: 4 feature updates and 1 changelog entry.
Invoke v0.10.19 – Bug Fixes
v0.10.19 resolves stability issues and edge cases for a more reliable experience.
Invoke v0.10.20 – Custom Slash Commands & Thinking Effort Controls
v0.10.20 adds user-defined slash commands, thinking effort controls across AI providers, and removes HTTP timeout for LLM streaming.
Invoke v0.10.21 – On-Device Voice Input, Boards Multi-Select & Node Search
v0.10.21 adds on-device voice-to-text in sidebar, board multi-select and node search, colorable edges, plus LSP recovery fixes.
Invoke v0.10.22 – Git Context Menu, Checkpoint Restore Options & Bug Fixes
v0.10.22 adds context menu for copying git hashes/messages, split checkpoint restore options, and fixes Monaco gutter shift.
Invoke v0.10.23 – Rename Conversations, External File Watching & Project Search Improvements
v0.10.23 adds live rename on conversation tabs, external file watching to sync editor, improved project search, and fixes file tree after sleep.
What people actually say about Invoke — is it worth it?
We scanned public community sources for Invoke on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Invoke? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Visual planning with Boards: feature cards and dependency mapping
- Drag-and-drop UI design on Canvas
- Sandbox for safe AI code experimentation
- Run up to 5 parallel agents in separate tabs
- Create custom sub-agents for specialized tasks
- Orchestrator Agent mode for advanced workflows
- On-device voice-to-text input
- Custom slash commands via markdown files
- Thinking effort controls for AI responses
- Built-in REST API client with endpoint testing
- Diff integration for code comparison
- Git context menu and checkpoint restore
- External file watching to sync editor
- Model Context Protocol (MCP) support
- Memory management with slots for context
About Invoke
Invoke is a desktop AI coding IDE that turns your whiteboard into a prompt. Instead of chat-first autocomplete, it puts a planning layer — Boards — in front of generation: map features as cards, draw dependency connections, then hit Build to send the whole plan to AI agents. A drag-and-drop Canvas handles UI design, and a Sandbox gives you a safe place to experiment before merging code. It's built for developers who sketch before they code and juggle multiple tasks at once, not for anyone looking for a simple autocomplete plugin. Invoke runs on macOS, Windows, and Linux, with a CLI, and supports up to five independent agents running in parallel tabs. You can create custom sub-agents, use an Orchestrator Agent mode for advanced workflows, and tailor AI behavior with custom slash commands and thinking-effort controls. Recent updates added on-device voice-to-text, external file watching, a git context menu, and checkpoint restore options — all aimed at keeping you in flow. Bring-your-own-keys is core: plug in OpenAI, Anthropic, Google, or xAI credentials, or run local models via Ollama, so cost and privacy stay in your control. A built-in REST API client, diff integration, MCP support, and a memory system round out the toolkit. Compared to generic copilots like Cursor or GitHub Copilot, Invoke asks for more upfront planning but offers more control for complex, multi-file changes. It's a fit for solo pros and small teams that value system-level thinking over snippet-level autocomplete.
Behind the Verdict
If you plan before you type, Invoke feels like a breath of fresh air. We’ve tried chat-first tools, and they often send you down a rabbit hole mid-refactor. Invoke’s Boards let you lay out every file and dependency before a single line is generated — that alone prevents a lot of costly rewrites. The parallel agent tabs are the feature that really differentiates it. Running up to five independent agents at once lets you split a big task: one refactors the backend, another updates the frontend, a third reviews the diff. It’s not perfect — you need to coordinate their outputs carefully or you’ll get merge conflicts you could have avoided. Where it bites: the credit system. Every plan has a monthly credit cap, and code reviews consume credits. For teams that do a lot of AI-assisted coding, that’s a cost you need to budget for. The rollover helps, but you’re still monitoring usage weekly, not ignoring it. Bring-your-own-keys saves money for heavy users, but it also means you manage your own API keys and costs. That’s a trade-off: full control versus built-in billing simplicity. Ollama integration offers real privacy — it’s why some teams pick this over cloud-only tools. Compared to Cursor or GitHub Copilot, Invoke asks for more upfront planning. For quick autocomplete and simple edits, those tools are faster. But for structured multi-file refactors, Invoke’s planning-first approach gives you more control and less thrashing. We’d reach for Invoke when we know the task is big and the dependencies are tangled. We’d pass when we just need a quick snippet or a one-file fix — a plain chat tool does that with less overhead. If your workflow starts with a sketch, Invoke is worth the learning curve.
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Real-world workflow fit
Concrete scenarios for the personas Invoke actually fits — and what changes day-one when you adopt it.
You have a new feature that touches several files. You open Invoke, create a Board, add cards for each component, draw dependency arrows, and hit Build. The AI agent reads the plan, implements changes in the correct order, and you review the diff.
Outcome: The feature is built systematically, reducing merge conflicts and rework.
Your team needs to fix a bug, write tests, and update documentation simultaneously. You open three separate agent tabs, each with a specialized subagent, and let them run in parallel.
Outcome: All three tasks complete concurrently, speeding up the release cycle.
You create a custom slash command via a markdown file in .invoke/commands/, and adjust thinking effort controls to balance speed and thoroughness for a complex refactor.
Outcome: You get consistent, tailored agent responses that match your coding style.
Use Cases
- Plan complex feature sets with Boards, draw dependencies, and let AI build them in order.
- Design UI pages visually in Canvas, then export production code.
- Run up to five AI agents in parallel to handle independent tasks simultaneously.
- Create custom subagents for specific code review, refactoring, or documentation tasks.
- Use slash commands to quickly generate skills, scan for APIs, or manage memory.
- Experiment with code changes safely in Sandbox with AI-assisted merging.
Models Under the Hood
as of 2026-09-14
Limitations
- Paid plans run on a credit system where code reviews and agent loops consume credits, and the FAQ notes free models carry limitations.
- The free tier caps AI sub-agents at 3 and memory slots at 5 and requires bringing your own API keys (OpenAI, Anthropic, etc.).
- On-device voice-to-text is labeled a preview feature.
- Parallel agents are described as up to 5 in separate tabs, and higher concurrent sub-agent counts are gated behind paid tiers.
as of 2026-08-26
Verification history
We have re-verified Invoke 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Invoke tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developers exploring Invoke with their own API keys and wanting basic multi-agent capabilities without a subscription.
What this tier adds
Starting tier: bring your own API keys, up to 3 sub-agents, 5 memory slots, full context window, and community support.
Starter
$20/mo
Ideal for
Personal projects and daily use by developers who need more agent capacity and priority support.
What this tier adds
Adds 50,000 AI credits/month, Orchestrator Agent, up to 10 sub-agents, 15 memory slots, 50% credit rollover, and priority email support.
Pro
$50/mo
Ideal for
Power users and small teams requiring extensive multi-agent automation and faster support.
What this tier adds
Increases credits to 135,000/month, sub-agents to 50, memory slots to 25, and adds priority support with faster response times.
Max
$100/mo
Ideal for
Serious builders and teams needing maximum capacity and dedicated support.
What this tier adds
Top tier: 280,000 credits/month, unlimited sub-agents, 50 memory slots, and dedicated priority support.
Where the pricing makes sense
The company stage and team size where Invoke's pricing actually pencils out — and where peers do it cheaper.
Invoke's freemium model suits solo developers and small teams who want control over AI costs via BYOK. Paid tiers start at $20/mo (Starter), cheaper than Cursor's $20/mo Pro but with a credit system that can add up. For heavy multi-agent use, Pro at $50/mo offers more credits, but compare total cost with provider API fees.
Setup time & first value
How long it actually takes to get something useful out of Invoke — broken out by persona, not the marketing-page minute.
Install the desktop app and sign up in minutes. For BYOK, add your API keys (OpenAI, Anthropic, etc.) and you're ready. If you're a solo developer familiar with coding tools, you can get first value within 15 minutes. Learning Boards and parallel agents may take an hour to fully grasp.
Switching to or from Invoke
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Cursor: Import your project folder, set up BYOK keys, and use Boards to plan your next feature—no direct import tool, but you can start fresh with your existing codebase.
- ↗To Cursor: Export your code as usual (no lock-in), and copy any custom slash commands or agent configs manually.
Integrations
Resources & Guides
- Documentationinvoke.yugin.co
Docs · Invoke
Full product docs from invoke.yugin.co
- Documentationinvoke.yugin.co
Welcome · Invoke
Full product docs from invoke.yugin.co
- Documentationinvoke.yugin.co
Installation · Invoke
Full product docs from invoke.yugin.co
- Documentationinvoke.yugin.co
Memory · Invoke
Full product docs from invoke.yugin.co
- Documentationinvoke.yugin.co
Checkpoints · Invoke
Full product docs from invoke.yugin.co
Tutorials & Learning
YouTube returned 6 videos for “Invoke”, and we withheld 6: 6 could not be judged, because “Invoke” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Invoke.
Official links
Tools that pair well with Invoke
Common stack mates teams adopt alongside Invoke, with the specific reason each pairing earns its keep.
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Tempo Labs
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Kiro
Spec-driven AI coding platform that turns prompts into executable specs and ships verified code with parallel agents.
Featured Head-to-Head Comparisons
Invoke vs Polycam
Polycam and Invoke serve entirely different domains: 3D reality capture vs. AI coding. Choose Polycam if you need professional photogrammetry, LiDAR scanning, or floor plans; its recent HDRI lighting and library improvements boost quality. Choose Invoke if you're a developer wanting visual planning, parallel AI agents, and multi-provider flexibility—latest updates add voice input and custom slash commands. There is no direct competition; your decision depends on whether you build digital twins or software.
Invoke vs Cognition Ai
If you're a solo developer or small team who wants an AI coding IDE with visual planning and the ability to run multiple agents in parallel for complex but controlled tasks, Invoke is the better fit. For large enterprises needing an autonomous engineer that handles bug triage, legacy code modernization, and ships production PRs end-to-end—with measurable productivity guarantees—Cognition AI's Devin is the clear winner. Choose based on your scale and need for control vs. autonomy.
Invoke vs Bito
Choose Invoke if you're a solo developer or small team that wants an all-in-one AI IDE with visual planning, design canvas, and parallel agents. Choose Bito if you work on large multi-repo projects with existing AI coding agents and need system-wide context, impact analysis, and automated scoping. Invoke is more self-contained; Bito augments your current agent setup.
Alternatives to Invoke
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Tempo is an AI IDE for React teams that generate components by prompt, then refine them on a visual canvas.
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