Build new features from approved issues
Have architect and coding agents collaborate to generate and implement feature code directly from GitHub issues
Кому підходить：VS Code users
Програмування / Розробка
Zoo Code
Zoo Code is an open-source code editor extension that runs multiple AI agents to form a development team inside the editor.
Тип продукту: Model Gateway / Routing ToolЦіни: НевідомоІнтеграція з APIMaster: Підтримується
Рейтинг використання токенів OpenRouter
#27
Джерела: OpenRouter
Coding Plan
Усі основні моделі AI з одним API-ключем
Знижки на моделі Coding Pro
- glm-5.250% off
- glm-5.350% off
- deepseek-v4-flash40% off
- deepseek-v4-pro40% off
- qwen3.8-max40% off
- kimi-k2.7-code30% off
- kimi-k330% off
- minimax-m330% off
- deepseek-flash10% off
Огляд
Zoo Code is positioned as an AI agent system integrated into code editors, primarily running in environments such as VS Code. Users launch agents with different roles under local or remote models to complete code-related workflows. Its core is to provide a way for multiple agents to collaborate, rather than a single AI assistant. It suits developers already using local models or multi-agent workflows. The difference from traditional single-agent tools lies in its built-in team structure and open-source implementation.
Коротко
Zoo Code is an open-source code editor extension that runs multiple AI agents to form a development team inside the editor.
Для чого використовується
After installation in VS Code, users launch agents such as orchestrator, architect, and debugger to handle project tasks.
Кому підходить
Developers, engineering teams, and technical leads
Як це працює
Context is typically read from the IDE, terminal, or project environment first, after which the Agent plans steps, executes commands, or modifies files, with results reviewed by the user.
Ключова інформація
Тип продукту
Model Gateway / Routing Tool
Ціни
Невідомо
Real-time pricing for the current enhanced version batch is not maintained for this product. Please refer to the official website or documentation.
Інтеграція з APIMaster
Підтримується
Model Providers / OpenAI Provider settings
Надійність даних
Середня
Остання перевірка: 2026-09-02
Підтримувані моделі / API
Third-party Provider
Основні функції
Multi-AI Agent Team
Run multiple specialized AI agents such as orchestrator, architect, debugger, and coding simultaneously inside the VS Code editor
Codebase Knowledge Graph
Automatically build and display call graphs and dependency graphs of the codebase
Semantic Code Search
Support semantic codebase search instead of keyword matching only
Safe Simulated Editing
Perform code modifications in a simulated environment first, then apply them after confirmation
Persistent Codebase Memory
Retain codebase context and modification history across sessions
External Tool Integration
Built-in tools including web search, web browser, GitHub operations, and compliance checks
Zoo Code: Сценарії використання
Analyze CI failure logs
Use the debugger agent to read CI logs, locate failure causes, and propose fixes
Кому підходить：VS Code users
Review open PRs
Have the agent team traverse open PRs, inspect code changes, and generate review comments
Кому підходить：VS Code users
Sync documentation with code changes
Automatically update related documentation after merging a PR
Кому підходить：VS Code users
Налаштування стороннього ключа для Zoo Code (інтеграція з APIMaster)
Кроки налаштування
- 1Open the Model Providers or model configuration page in the current version of Zoo Code.
- 2Select the OpenAI provider, OpenAI-compatible provider, or the corresponding custom provider entry.
- 3Fill in APIMaster's Base URL, API Key, and the model ID you want to call.
- 4Save the configuration and initiate a minimal request in the editor to confirm that Zoo Code is using the new third-party provider.
Параметри конфігурації
Base URL
https://apimaster.ai/v1Змінна середовища API-ключа
APIMASTER_API_KEYМодель
Ваш Model ID APIMasterОбговорення спільноти
Підсумок обговорень
Users typically understand Zoo Code as an open-source VS Code AI agent extension (a fork of Roo Code) that provides a multi-mode AI agent team including architect, coding, and debugging inside the editor. Discussions mainly focus on integrating Zoo Code with local LLMs such as Ollama, Qwen, and DeepSeek, as well as hardware configuration and performance optimization. Users also frequently share experiences with agent modes, tool integrations such as web search and Qdrant context indexing, and overall workflow setup.
Популярні теми
- 1
How to set up a local LLM coding environment with Zoo Code
Users discuss integrating local models such as Gemma and Qwen2.5-Coder with Zoo Code, focusing on VRAM requirements, Ollama/llama.cpp configuration, and feasibility on low-end hardware.
- 2
Zoo Code agent modes and skill configuration
Users share combinations of VSCode + Zoo Code + Skills (orchestrator, architect, debugger, coding) and how to add Tools such as web search, compliance, and Qdrant indexing to enhance agent capabilities.
- 3
Zoo Code API integration with different models
Users exchange information on connecting OpenAI-compatible interfaces or specific models such as DeepSeek v4 pro and Kimi K3 in Zoo Code, including base URL settings, token speed optimization, and context management.
- 4
Zoo Code applications in real coding projects
Users discuss using Zoo Code for vibe coding, game tool development, or Next.js tasks, emphasizing the switch between Architect mode planning and Code mode execution, as well as integration with daily VS Code workflows.
Поширені запитання
What type of product is Zoo Code?
We currently classify it under the Programming / Developer category. Page details are based on the official website and public sources such as OpenRouter.
What is Zoo Code suitable for?
The enhanced Zoo Code page prioritizes displaying collected core tasks and use cases to help you quickly determine if it matches your current needs.
Can Zoo Code connect directly to APIMaster now?
There is currently no reliable source confirming support for third-party keys or custom compatible endpoints, so the page status will show as pending verification.
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Джерела：Офіційний вебсайтОфіційна документаціяGitHub
Остання перевірка: 2026-09-02 · Повідомити про виправлення