Voidleap Code is a desktop IDE for professional developers and AI engineers building software with AI agents. It runs locally on Mac and Windows, supports cloud provider accounts or local models, and lets you inspect and control prompts, tool calls, context, and file changes.
Voidleap Code is a desktop integrated development environment for building software with AI coding agents. It combines a code editor with an agent harness that lets developers assign tasks, inspect prompts and tool calls, review file changes, stop or correct an agent, and fork threads for alternative approaches.
The application runs locally on the developer’s computer and supports user-supplied cloud provider accounts or local models. Its stated architecture keeps application data on disk; when cloud inference is used, code and prompts pass directly between the local app and the selected provider rather than through Voidleap’s servers.
The desktop app runs locally and can use supported cloud providers, Ollama, or an OpenAI-compatible local server. Agents, skills, and workflows can be used across providers, with provider changes possible during a thread.
Prompts, model calls, tool calls, messages, and file changes are visible. Users can edit context, remove items, stop an agent, fork a thread, and run multiple agents in parallel panels.
Four execution modes range from read-only to fully automatic operation. Bash and PowerShell commands are parsed before execution, output streams live, sensitive paths are blocked by default, and an optional OS sandbox supports network allow and deny lists.
Agents, skills, hooks, MCP servers, slash commands, keybindings, security rules, and automations can be edited visually or as files. Global, workspace, and project scopes support shared configuration with local overrides.
The dashboard reports cost, tokens, latency, and cache hits, with a live model-call feed. Users can trim or hand off context and control which tools and skills enter the system prompt.
A built-in browser supports annotations for agents, and a local code index supports navigation. The marketplace and bundle editor provide plugin creation, review, publishing, and per-scope installation workflows.
Assign an implementation or maintenance task, monitor commands and file edits, intervene when needed, and fork the thread to compare another approach.
Connect provider accounts, change models during a thread, or combine providers when different parts of a task call for different model capabilities.
Configure Ollama or another OpenAI-compatible local server for work that should remain on local hardware and avoid provider transmission.
Package recurring instructions into agents, skills, hooks, slash commands, MCP connections, or automations, then share them through global, workspace, or project scopes.
The planned Team and Enterprise tiers target shared servers, scoped access, collaboration, SSO, central policy, and on-premises deployment; these capabilities are not described as fully available today.
The desktop app runs on the developer’s computer. The site identifies Mac and Windows as supported today, with a Unix desktop app in internal testing. Application data is stored locally, including under ~/.voidleap/ according to the documentation.
No. Users connect their own provider subscription or API key, or configure a local model through Ollama or an OpenAI-compatible server. Provider charges and terms apply separately.
The product states that code and prompts do not pass through Voidleap’s servers. They move between the local application and the provider selected by the user; Voidleap’s servers are used for license checks and a periodic model-pricing configuration fetch.
Yes, depending on the selected execution mode. The product offers four modes, command parsing, live output, blocked sensitive paths, and an optional OS sandbox. Users can require approval or allow more automatic execution.
The Free version is available now. Pro and Team are described as in development; planned Team capabilities include shared servers, scoped invitations, real-time collaboration, handover, and managed seats. Enterprise is planned to add on-premises deployment, central policy, SSO, and key pooling.
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