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What is OpenLLM?

OpenLLM is an AI routing layer that integrates various AI models and services into a unified interface. It connects coding agents like Claude Code, Codex, and OpenCode to multiple model providers, including OpenAI, Anthropic, Google, and local servers such as Ollama and LM Studio. This integration allows users to access a diverse range of models through a single endpoint, streamlining workflows and reducing the need for multiple configurations.

The core capabilities of OpenLLM include routing requests across numerous providers and models, with automatic fallback mechanisms to ensure continuous operation even if one model is rate-limited. It offers built-in inference, enabling users to start without additional setup or credentials. Additionally, OpenLLM provides shared memory across agents, allowing context to persist across different tools and sessions, and features an integrations marketplace for adding tools like Context.dev for web data processing.

OpenLLM is designed for developers and teams who utilize multiple AI models and services in their workflows. It supports various tools and platforms, including Claude Code, Codex, OpenCode, Grok Build, Raycast, and Hermes. The platform is compatible with both API-based and locally hosted models, catering to diverse deployment preferences and requirements.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, consistent, and on-brand

Interface

Clean and minimal

AI Technology
LLMNLP
Purpose of Tool

To unify access to multiple AI models and services through a single routing layer

Compatibility

Compatible with various coding agents and AI model providers, including both API-based and local models

Pricing

Freemium with paid monthly plans

Features

Features with the highest value for users are highlighted here.

unified routing layer

included inference

shared memory across agents

integrations with Context.dev

Who Is It For?

Developers

AI Researchers

Data Scientists

Product Managers

Startups

Enterprise Teams

Educators

Consultants

Freelancers

Hobbyists

Pricing

Free

$0/free
  • 50 million non-cached tokens per month
  • 2 connected devices
  • Included inference
  • Memory across agents
Popular

Pro

$30/monthly
  • Unlimited tokens
  • 5 connected devices
  • Included inference
  • Memory across agents

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Pros & Cons

Pros

  • seamless integration with multiple AI models
  • simplified management of AI resources

Cons

  • limited to macOS and Linux platforms
  • reliance on a single endpoint for routing requests

FAQs

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