Enterprise-Grade agentic automation is here! A new range of agentic capabilities are now available in our latest 8.8 release, which provides a foundation for building and orchestrating trusted agents at scale with an agentic BPMN approach. This live webinar features demos and insights into how Camunda 8.8 helps you design trusted AI agents, orchestrate multi-agent processes, and scale with enterprise-ready security and performance. Unlock the promise of agentic orchestration by blending deterministic and dynamic approaches within the same process, combining the speed, predictability, and guardrails of automation with the intelligence and agility of AI. Save your seat for Oct 22.
Applications are now open until November 7 for the Camunda Champion Program. Get recognized for your contributions and gain access to resources, networking opportunities, and community events — all designed to support you in your journey and amplify your impact. Apply now.
The new AI Agent connector allows agents to operate autonomously within end-to-end processes and integrate with a variety of LLM providers such Azure OpenAI or AWS Bedrock. Building agents focused on single-goal actions, such as summarizing data or double-checking outputs, is as easy as adding a BPMN task.
Discover how to build an AI agent that seamlessly orchestrates people, tools, and LLMs to automate complex workflows. We'll walk you through the architecture, setup, and practical steps to bring intelligent process automation to life. Learn more.
Dive into our MCP with this step-by-step blog and learn how to orchestrate AI agents to work securely and at scale that interact with existing tools and systems. Discover how our native MCP transforms AI agents into governed, auditable process participants combining autonomy with transparency. Learn more.
MONTHLY PRODUCT UPDATES
AI agent connector enables agents to operate autonomously within end-to-end processes and integrate with a variety of LLM providers such as Azure OpenAI or AWS Bedrock
Model Context Protocol (MCP) connector supports multi-agent community protocols, enabling agents and processes to auto-discover and invoke enterprise systems with full context
Ad-hoc tools schema resolver connector can be used independently with other AI connectors for direct LLM interaction, and can also be used if you don’t want the AI agent connector, but still want to resolve tools for an ad-hoc sub-process or debug tool definitions
Vector database connector allows embedding, storing, retrieving LLM embeddings, and building AI-based solutions, such as context document search, long-term memory for LLMs, and agentic AI interaction
Copilot with FEEL capabilities generates, validates, and explains FEEL expressions from natural language in Camunda Web Modeler
Check out these resources for a full list of new updates:
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