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Invoke

Invoke is an agentic coding IDE that combines visual planning boards, dependency-aware tasks, a canvas, sandboxed execution, browser tooling, and parallel agents in one development workspace.

Quick Verdict

Worth listing early because its visual planning and dependency model provide a real point of difference from chat-first Cursor clones.

Last checked: Aug 29, 2026
Pricing checked: Aug 29, 2026
Editor Base
Standalone
Pricing
Early Access
Platforms
Desktop, Sandbox, Browser tooling
Models
BYOK providers, Ollama local models
Invoke preview

Pricing Plans

Early access

Current access terms

Pricing and availability should be confirmed on the official site while the product is early.

Core Features

1Visual Planning

  • Planning boards
  • Task dependency graph
  • Visual canvas
  • Structured requirements before execution

2Agent Execution

  • Parallel agents
  • Subagents
  • Agent, plan, browser, and orchestrator modes
  • Sandboxed implementation

3Models and Tools

  • BYOK support
  • Ollama local models
  • Skills
  • Integrated browser workflow

Pros

  • Visual boards make task dependencies explicit.
  • Parallel agents and subagents support larger plans.
  • Sandbox and browser tools cover implementation and validation.
  • BYOK and Ollama expand model choice.

Cons

  • An early product has less proven reliability and ecosystem depth.
  • Visual planning can add overhead for small changes.
  • Parallel agents can increase model cost quickly.
  • Teams should validate sandbox isolation and source-code handling.

Invoke Review 2026

Invoke is an agentic coding IDE that combines visual planning boards, dependency-aware tasks, a canvas, sandboxed execution, browser tooling, and parallel agents in one development workspace.

What Is Invoke?

Invoke connects visual planning with agent execution. Teams can structure requirements and dependencies on boards and a canvas before agents implement and validate work in a sandbox.

The visual planning layer is the key distinction: agents execute from an explicit board and dependency structure instead of starting from an unstructured chat prompt.

Visual Planning

  • Planning boards
  • Task dependency graph
  • Visual canvas
  • Structured requirements before execution

Agent Execution

  • Parallel agents
  • Subagents
  • Agent, plan, browser, and orchestrator modes
  • Sandboxed implementation

Models and Tools

  • BYOK support
  • Ollama local models
  • Skills
  • Integrated browser workflow

How It Fits an Agentic Development Workflow

Invoke is most useful when its permissions, repository scope, model access, and review checkpoints are configured before the first large task. Start with a bounded project, verify the generated changes or analysis, and only then expand access. This matters because agentic tools can move faster than a conventional assistant and can also amplify a bad assumption.

For teams, the practical evaluation should cover setup time, context quality, task completion rate, review burden, model or infrastructure cost, security controls, and how easily a human can interrupt or redirect work.

Best Use Cases

  • Teams that plan features visually before implementation.
  • Developers coordinating parallel agent tasks.
  • Users who want BYOK or Ollama in an IDE-like workspace.

Privacy, Security, and Deployment

Review how sandboxes, model providers, browser sessions, project files, and local Ollama connections are isolated and retained before using confidential code.

Any coding agent or developer tool with repository, terminal, browser, or secret access should be introduced with least-privilege credentials, protected branches, mandatory review, isolated test environments, and clear log-retention rules.

Limitations

  • An early product has less proven reliability and ecosystem depth.
  • Visual planning can add overhead for small changes.
  • Parallel agents can increase model cost quickly.
  • Teams should validate sandbox isolation and source-code handling.

Alternatives

  • Cursor
  • Windsurf
  • Kiro
  • Berd
  • Tempo

The best alternative depends on whether the priority is an AI-native editor, a terminal harness, autonomous cloud execution, code review, mobile control, or a shared orchestration layer.

Verdict

Worth listing early because its visual planning and dependency model provide a real point of difference from chat-first Cursor clones.

Official Sources

Best For

  • Teams that plan features visually before implementation.
  • Developers coordinating parallel agent tasks.
  • Users who want BYOK or Ollama in an IDE-like workspace.

Not Ideal For

  • Small edits that do not need project planning.
  • Organizations requiring a long enterprise track record.
  • Developers who prefer a minimal terminal agent.

Privacy Notes

Review how sandboxes, model providers, browser sessions, project files, and local Ollama connections are isolated and retained before using confidential code.

Update History

  • Aug 29, 2026: Created a complete English draft profile from current official sources; kept unpublished for editorial review.

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