bytechefhq/bytechef

What it solves

ByteChef provides a unified platform for building AI agents and automated workflows. It eliminates the need to manage separate tools for agent orchestration and business process automation by combining them into a single, durable execution environment with centralized management and security.

How it works

ByteChef uses a visual drag-and-drop editor to build workflows where AI agents act as first-class steps. These agents can be configured with specific models, memory backends, guardrails, and RAG-based knowledge bases. The platform uses a durable runtime that persists every task execution, allowing workflows to pause for human approval or resume from a specific point after a failure. It also supports the Model Context Protocol (MCP), allowing it to both consume external tools and expose workflows as tools for other AI environments.

Who it’s for

It is designed for enterprises that need to build, host, and embed AI-powered automation into their own products or internal systems, particularly those requiring regulated environments or complex, multi-step workflows.

Highlights

• Durable Execution: Automatically persists workflow state, enabling mid-run resumes and reliable error handling.
• Integrated AI Stack: Native support for 14 LLM providers, 15+ vector stores, 8 memory backends, and 12 types of guardrails.
• Extensive Connectivity: Includes 250+ pre-built connectors that function as both standard workflow steps and AI agent tools.
• Dual-Direction MCP: Can consume external MCP servers as tools and expose its own workflows as MCP tools for use in external environments like Cursor or Claude Desktop.
• Open Core: The core platform is licensed under Apache 2.0, with an Enterprise Edition available for advanced features like AI Copilot, SSO, and embedded iPaaS capabilities.