Build complete applications in the terminal with an AI agent
Combine models such as Qwen to iteratively write and refine code step by step via the agent
Кому підходить：Independent developers
Програмування / Розробка
omp
omp is an open-source terminal coding agent that supports over 60 model providers and allows switching models within a session.
Тип продукту: CLI Coding AgentЦіни: НевідомоІнтеграція з APIMaster: Підтримується
Сайт створено
2026-05-11
Рейтинг використання токенів OpenRouter
#7
Джерела: OpenRouter
Унікальні відвідувачі на місяць
187,532
Джерела: SimilarWeb
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
omp is positioned as a command-line agent tool for developers to use in local projects, running via TUI or GUI interfaces. After launching in the project directory, users can have the agent perform CLI operations and invoke different models to handle tasks. The core feature is support for mid-session model switching and local configuration, avoiding single-model limitations. It suits developers needing flexible model routing and handling real codebases, emphasizing local persistence and multi-model switching compared to cloud-shared agents or fixed-model tools.
Коротко
omp is an open-source terminal coding agent that supports over 60 model providers and allows switching models within a session.
Для чого використовується
After users enter omp in the terminal to launch, the agent uses CLI to complete AWS/GCP operations or code modifications; when encountering model limits, enter /switch to switch to another model and continue the task.
Кому підходить
Developers and technical teams
Як це працює
Run the CLI in the project directory, configure model providers and endpoints, then approve or inspect the agent's operations in the terminal.
Ключова інформація
Тип продукту
CLI Coding Agent
Ціни
Невідомо
Please check the official repository for the project's current pricing and model invocation rules.
Інтеграція з APIMaster
Підтримується
~/.omp/agent/models.yml or model Provider configuration
Надійність даних
Низька
Остання перевірка: 2026-08-29
Підтримувані моделі / API
Provider configuration depends on versionCustom endpoint support: to be verified
Основні функції
Native LSP Integration
Directly provide semantic renaming, reference lookup, and diagnostics within the terminal
Full DAP Debugger
In-process debugger supporting breakpoints, variable inspection, and step execution
Hashline Content Hash Editing
Content-hash-based code modification mechanism
Persistent IPython Kernel
Retains imports, variables, and open file state across sessions and sub-agents
Browser Automation
Built-in browser operation capabilities
Multi-model Provider Support
Use the same toolset to invoke different models via TUI, -p, RPC, ACP and other interfaces
omp: Сценарії використання
Debug Python programs in an IDE-integrated environment
Use the native DAP debugger to set breakpoints and inspect variables
Кому підходить：Python developers
Incrementally build state like a Jupyter notebook
Accumulate variables and file state step by step via the persistent kernel for iterative development
Кому підходить：Data scientists and script developers
Execute automation tasks involving browser interaction
Have the agent directly operate the browser to complete web-related tasks
Кому підходить：Full-stack developers
Налаштування стороннього ключа для omp (інтеграція з APIMaster)
Кроки налаштування
- 1Open omp's model Provider configuration as per official instructions, usually by editing ~/.omp/agent/models.yml.
- 2Add a custom OpenAI-compatible provider, fill in APIMaster's Base URL and your API Key.
- 3Change the model name to the APIMaster model ID you want to call and save the configuration.
- 4After restarting or refreshing the omp session, switch to that provider and use a minimal request once to confirm the current model is using the third-party key.
Параметри конфігурації
Base URL
https://apimaster.ai/v1Змінна середовища API-ключа
$APIMASTER_API_KEYМодель
Ваш Model ID APIMasterОбговорення спільноти
Підсумок обговорень
Users typically understand omp as an IDE-integrated AI coding agent tool, emphasizing persistent state management and model routing features for local development and agent workflows. Discussions focus on comparisons with other agent tools, especially memory persistence, orchestration reliability, and real-world delivery capability. Users also pay attention to model routing applications across different tasks and integration methods with specific providers.
Популярні теми
- 1
How the persistent IPython kernel supports incremental state building by agents
Users discuss how this design retains variables, imports, and files across sessions, enabling step-by-step iteration like a Jupyter notebook rather than re-deriving everything each time.
- 2
Real-world effectiveness of model routing by task type or difficulty
Users share how routing automatically selects models based on tasks and its impact on coding efficiency and cost.
- 3
Comparison with other agent tools such as Droid in terms of memory and orchestration
Users compare omp's durable harness and shared agents, discussing which is better suited for real project delivery and feedback loops.
- 4
Integration and usage experience with providers such as Google
Users inquire about configuring providers, anti-gravity subscriptions, and other details, as well as omp's stability in production environments.
- 5
Overall reliability and suitable scenarios of omp as a local coding agent
Users discuss its advantages in personal application development and avoiding cloud restrictions, as well as pairing methods with Claude or other models.
Поширені запитання
What is omp?
It is a terminal-oriented Coding Agent project; specific capabilities should be verified against the current state of the repository.
Does it support APIMaster?
Currently unknown. The page will not claim support until confirmed in official documentation or actual testing.
Can it modify local files?
This depends on the enabled tools and permissions; each operation should be checked before execution.
Схожі Agent
Джерела：Офіційний вебсайтGitHub
Остання перевірка: 2026-08-29 · Повідомити про виправлення