Makes multiple AI agents collaborate on a single project or task.
Automations like: when a new customer signs up on your Stripe checkout, automatically add their data to your Notion database using Claude CLI and Gemini Code Assist.
This skill helps you manage multiple AI agents' conversations consistently, ensuring they stay in sync and provide a unified customer experience.
"A founder, Sarah, uses imcodes to create a chatbot for her e-commerce site that integrates with her CRM system and customer support ticketing tool. She starts by setting up the integration between imcodes and Claude CLI, then writes a script to automatically update customer info and create a ticket in her CRM. After setting up a few more integrations, her chatbot can now handle basic customer inquiries and even automatically resolve simple issues without requiring human intervention."
When you're new to integrating multiple AI agents, pick up imcodes for its simplicity and free open-source model.
When you're a senior engineer looking to develop a sophisticated multi-agent integration system, you'll reach for imcodes due to its advanced features and flexibility.
The most common confusion about imcodes is that it only supports specific AI providers, when in fact it's designed to be tool-agnostic and can work with any AI client.
Imcodes provides a shared context and supervised execution across AI providers, allowing startup teams to manage AI agents from different providers in a unified way.
Clone the imcodes repository from GitHub by running `git clone https://github.com/im4codes/imcodes`Use the imcodes API to create a new agent context by sending a `POST` request to `http://localhost:8080/contexts` with a JSON body containing the context data, for example: `curl -X POST -H 'Content-Type: application/json' -d '{"context": {"name": "example-context", "data": {"key": "value"}}}' http://localhost:8080/contexts`Read the entire source before you build β unlike paid marketplaces that hide it behind a buy button.
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