Connery SDK

Connery SDK: Create AI Agents Fast

AI Agents Multi-model integration SDK integration Software development Cloud Deployment ai app builder You have API Vector search Python SDK Persistent memory scalable architecture API connections AI Developer Tools Storyboard AI on-premises solutions contextual memory browser tools Deno framework Node.js library tool chaining agent lifecycle telemetry tools complex workflows development utilities

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Connery SDK Product Information

What is the Connery SDK?

The Connery SDK is a robust framework designed to simplify AI agent creation. It offers client libraries for Node.js, Python, Deno, and browsers, empowering developers to define agent behaviors, integrate external tools and data, manage long-term memory, and connect to multiple large language models (LLMs). Featuring built-in telemetry and deployment tools, it accelerates the agent lifecycle from development to production.

Who is the Connery SDK for?

• Software Developers
• AI Researchers
• Startups Building Chatbots
• Enterprises Automating Workflows

How to Use the Connery SDK

• Step 1: Install the SDK via npm, pip, or Deno.
• Step 2: Initialize the Connery client using your API key.
• Step 3: Define your agent's persona, memory stores, and model settings.
• Step 4: Register external tools, APIs, or knowledge bases.
• Step 5: Write your interaction logic and tool invocation handlers.
• Step 6: Test your agent locally with the built-in simulator.
• Step 7: Deploy to production and monitor performance via telemetry.

Platform

• Web
• macOS
• Windows
• Linux

Core Features & Benefits of Connery SDK

Core Features

• Multi-language client libraries (Node.js, Python, Deno, Browser)
• Persistent memory stores for long-term context
• Multi-model and vector search integrations
• Plugin and tool invocation framework
• Built-in telemetry and logging
• Deployment utilities for cloud and on-premises environments

Key Benefits

• Accelerates the entire agent development lifecycle
• Enables complex workflows through tool chaining
• Maintains conversational context over extended interactions
• Seamlessly integrates with existing APIs and systems
• Provides a scalable architecture for production use

Main Use Cases & Applications

• Customer support chatbots with ticketing system integration
• Data analysis assistants for querying internal databases
• Personalized tutoring agents in educational settings
• Sales agents for automating lead qualification
• Knowledge retrieval bots for enterprise wikis

Pros & Cons of Connery SDK

Pros

Open-source, promoting transparency and community-driven improvements.

Combines an SDK and CLI to streamline AI plugin and action development.

Standardized REST API ensures consistent and simplified application integration.

Automates authorization, input validation, and logging.

Flexible plugin architecture for interacting with external services.

Cons

Documentation shows the last update was seven months ago, which may suggest slower recent development.

Lack of explicit pricing or enterprise support details could hinder adoption by larger businesses.

No mention of available pre-built end-user applications or demo apps.

Connery SDK Pricing

For the latest pricing, please visit: https://docs.connery.io/sdk

Connery SDK FAQs

What programming languages does Connery SDK support?

The Connery SDK offers client libraries for Node.js, Python, Deno, and browser-based JavaScript.

How do I store conversation memory?

You can set up built-in memory stores or connect to external systems like Redis and vector databases for long-term context retention.

Which LLMs can I use with Connery?

Connery SDK supports OpenAI, Anthropic, Hugging Face, and custom model endpoints.

Is a free trial available?

Yes, a free plan with limited usage is available for SDK evaluation.

How do I integrate external APIs?

Use the tool registration interface to define API endpoints, authentication methods, and request schemas.

Can I deploy on-premises?

Yes, the SDK supports deployment on your own servers or private cloud infrastructure.

What telemetry features are included?

Connery provides built-in logging, usage metrics, and integrations with monitoring tools like Datadog.

How do I test my agent locally?

Use the built-in simulator CLI or web interface to run and debug conversations prior to deployment.

Does Connery support plugins?

Yes, you can create and import plugins to extend your agent's capabilities with custom logic.

Where can I find the documentation?

Complete documentation is available at https://docs.connery.io/sdk.

Connery SDK Company Information

• Connery
• connery-io
• https://connery.io
• @connery_io

• [email protected]

Connery SDK Screenshot