APIMaster.ai

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omp

omp is an open-source terminal coding agent that supports over 60 model providers and allows switching models within a session.

Tuotetyyppi: CLI Coding AgentHinnoittelu: TuntematonAPIMaster-integraatio: Tuettu

Sivusto luotu

2026-05-11

OpenRouter-tokenien käyttöluokitus

#7

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Kuukausittaiset yksittäiset kävijät

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omp‑etusivun esikatselu

Coding Plan

Kaikki tärkeät AI-mallit yhdellä API-avaimella

Coding Pro -mallien alennukset

  • 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

Yleiskatsaus

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.

Yhdellä lauseella

omp is an open-source terminal coding agent that supports over 60 model providers and allows switching models within a session.

Mihin sitä käytetään

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.

Sopii käyttäjille

Developers and technical teams

Näin se toimii

Run the CLI in the project directory, configure model providers and endpoints, then approve or inspect the agent's operations in the terminal.

Tärkeät tiedot

Tuotetyyppi

CLI Coding Agent

Hinnoittelu

Tuntematon

Please check the official repository for the project's current pricing and model invocation rules.

APIMaster-integraatio

Tuettu

~/.omp/agent/models.yml or model Provider configuration

Tietojen luotettavuus

Matala

Viimeksi tarkistettu: 2026-08-29

Tuetut mallit / API:t

Provider configuration depends on versionCustom endpoint support: to be verified

Tärkeimmät ominaisuudet

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: Käyttötapaukset

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

Sopii käyttäjilleIndependent developers

Debug Python programs in an IDE-integrated environment

Use the native DAP debugger to set breakpoints and inspect variables

Sopii käyttäjillePython developers

Incrementally build state like a Jupyter notebook

Accumulate variables and file state step by step via the persistent kernel for iterative development

Sopii käyttäjilleData scientists and script developers

Execute automation tasks involving browser interaction

Have the agent directly operate the browser to complete web-related tasks

Sopii käyttäjilleFull-stack developers

Kolmannen osapuolen avaimen määritys tuotteelle omp (APIMaster-integraatio)

Tuettu

Määritysvaiheet

  1. 1Open omp's model Provider configuration as per official instructions, usually by editing ~/.omp/agent/models.yml.
  2. 2Add a custom OpenAI-compatible provider, fill in APIMaster's Base URL and your API Key.
  3. 3Change the model name to the APIMaster model ID you want to call and save the configuration.
  4. 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.

Määritysarvot

Base URL

https://apimaster.ai/v1

API-avaimen ympäristömuuttuja

$APIMASTER_API_KEY

Malli

APIMaster-mallitunnuksesi

Yhteisön keskustelu

Keskustelujen yhteenveto

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.

Suositut aiheet

  1. 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. 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. 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. 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. 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.

Usein kysyttyä

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.

Samankaltaiset Agentit

LähteetVirallinen verkkosivustoGitHub

Viimeksi tarkistettu: 2026-08-29 · Ilmoita korjauksesta