Build with AnalogAI

The cognitive engine for autonomous agents. Give your AI persistent memory, reasoning, and procedural learning without writing any custom integration code.

Step 1: Configure Your Models

AnalogAI acts as a powerful middleware proxy. To get started, you just need to specify your preferred LLM provider and models in the AnalogAI dashboard.

Configure Models
  • Provider Type: Select your LLM provider (e.g., OpenRouter, OpenAI, Anthropic).
  • API Key: Provide the API key for your selected provider.
  • Reasoning Model Name: Specify a powerful model for complex cognitive tasks (e.g., claude-3-7-sonnet, gpt-4o).
  • Fast Model Name: Specify a faster, cheaper model for quick routing and memory retrieval (e.g., claude-3-5-haiku, gpt-4o-mini).

Step 2: Get Your AnalogAI Credentials

Once you complete the setup, AnalogAI will generate a custom OpenAI-compatible endpoint for your agent.

Get Credentials

You will receive two important pieces of information:

Base URL

https://app.analogai.net/v1/agents/<your_agent_id>/chat/completions

API Key

eyJh...EbRY

Step 3: Integrate with any harnesses and agentic frameworks

Because AnalogAI provides a standard OpenAI-compatible Chat Completions API, no custom SDK or code changes are required. You can use it instantly with any agentic framework.

Universal Integration

Simply take the Base URL and API Key from Step 2 and pass them into your framework of choice (CrewAI, LangChain, Hermes, OpenClaw, Codex, etc.) exactly as you would with OpenAI.

# Example: Setting environment variables for your framework

export OPENAI_API_BASE="https://app.analogai.net/v1/agents/<your_agent_id>"

export OPENAI_API_KEY="eyJh...EbRY"

That's it! Your agents will now automatically build episodic memory, reason over past interactions, and distill procedural knowledge—all handled server-side by AnalogAI.