Voidleap Code

Voidleap Code is a full agentic coding environment built for developers who want deep control over how AI agents work on their codebase. It runs as a desktop app on Mac and Windows, routes inference directly to the provider or local model you choose, and keeps all application state on your machine. The product launched as version 1.0 on August 16, 2026, free for everyone.

What It Is

Voidleap Code is an agentic IDE — a harness and scaffolding layer around AI models, not a wrapper that hides what the models are doing. The core design principle is that every agent, skill, hook, slash command, security rule, and system prompt is visible, editable, and owned by the developer. It supports nine providers out of the box (Anthropic, OpenAI, Google Gemini, GitHub Copilot, Ollama, LMStudio, OpenRouter, Azure, Bedrock) and lets you switch models between turns without restarting a thread.

Local-First Architecture

Privacy is described by the Voidleap team as an architectural decision, not a setting. All application data lives in ~/.voidleap/ on the user's filesystem — threads, logs, memory, plugin cache, configuration, artifacts, worktrees, and checkpoints. The code index is a local SQLite database. When a cloud provider is used, prompts and credentials go directly to that provider; nothing routes through Voidleap's servers. Local model support covers Ollama with custom model registration, and tool-call parsing recognizes Harmony, Gemma, Qwen, and Hermes XML/JSON formats so open-source local models get full tool-call parity with hosted ones. An optional macOS Seatbelt sandbox adds kernel-level write restrictions for high-stakes work.

Observability and Control

The tool replaces what the team calls the "black box" with full observability. A live Control Center shows every running thread grouped by status (Running, Needs Input, Idle, Errored), with a real-time LLM call feed displaying actual prompts, responses, and tool calls as they stream. A statistics dashboard covers 30+ charts: cost trend, per-model cost, token volume, latency distribution, cache efficiency, tool success rate, RPM, and TPS — all live and exportable. Four execution modes (Default, Read-only, Careful, Yolo) let developers set how much the agent can do autonomously. AST-aware command parsing and sensitive-path defaults (.ssh, .env*, .aws, .gnupg) are on by default.

Multi-Agent Orchestration and Customization

Two primary agents ship as starting points — Build and Plan — along with a set of pre-defined subagents: Oracle (deep reasoning), Explorer (codebase search), Librarian (web research), Planner (architecture analysis), Looker (screenshots and PDFs), and several utility subagents. Developers can author custom agents with per-agent model and provider, effort and thinking budget, allowed and denied tools, context isolation mode, and provider-specific prompt variants (e.g., my-agent.anthropic.md). A three-scope inheritance system (Global, Workspace, Project) lets configuration be authored once and overridden at any level. A built-in marketplace with a security auditor (static analyzer plus optional AI deep review) handles community plugin installation.

Context Engineering

Voidleap Code provides a visual context management system that segments context by category (system, conversation, artifacts, files) against the model's actual token limit. Four slash commands handle cleanup: /trim removes paired tool calls, /prune is AI-assisted and clears stale rounds, /compact summarizes old history, and /clear resets context without destroying thread history. AI Prune Suggest mode shows proposed removals before applying them. The team reports Anthropic cache breakpoints push hit rates into the 85–95% range, with cache hit rate visible in the dashboard. A persistent symbol index (15 languages, BM25-ranked search, camelCase/snake_case fuzzy matching) lets agents query symbols instead of falling back to grep.

Update: Voidleap Code 1.0

Voidleap Code 1.0 launched on August 16, 2026, as a free download for Mac and Windows with no credit card required and no trial clock. The announcement post frames the release around the idea that "a strong model is only half the equation" — the harness and scaffolding around the model determine result quality. The Free plan is described as the full product limited in scale rather than time. A Pro plan and Team plan are listed on the pricing page but noted as still in development at launch time, with Enterprise available via contact.