Camunda vs Pega (2026)

Agents act through the BPMN activities a builder places in an ad hoc sub process, so any service task, connector call or sub process becomes a tool the model can choose. Camunda offers more than 400 prebuilt connectors, including Salesforce, SAP OData and RFC, HubSpot, Slack, Microsoft Teams, GitHub, Twilio, WhatsApp, Google Drive and Sheets, Amazon S3, DynamoDB and Lambda, plus generic REST, SOAP, GraphQL and SQL. Credentials sit in secrets, a connector SDK builds custom connectors, and MCP client connectors let an agent discover and call tools on outside MCP servers.

Sourcedocs.camunda.io/docs/components/connectors/out-of-the-box-connectors/available-connectors-overviewread 2026-10-12

The AI Agent rule builds agents that execute workflows and integrate with third party agents over MCP and A2A, and a Connect MCP rule points an agent or workflow at an external MCP server so its tools are used during case processing.

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Processes run on the Zeebe engine as BPMN, with gateways, timers, events, sub processes and DMN decisions. An AI agent is an addressable loop inside that process. The model picks the next activity from an ad hoc sub process, the engine runs it as a governed step, and the result goes back to the model until the goal is met. Several agents can share one process, agents built in LangGraph, Amazon Bedrock or custom code can be connected and tracked as agent instances, and predictable steps run straight through while agents handle the judgment calls.

Sourcedocs.camunda.io/docs/components/agentic-orchestration/ai-agentsread 2026-10-12

The orchestration layer is Pega Agentic Process Fabric: it analyzes the context of each task and connects it with the best-suited agent automatically, drawing on the full network of registered agents, and coordinates agents, applications, systems and data to get work done. Infinity 26, generally available since 14 July 2026, lets developers connect and orchestrate Pega and third-party AI agents inside governed workflows, and agents are placed as steps within multi-step case lifecycles.

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Processes start or move on without anyone pressing a button. Inbound connectors listen on an HTTP webhook, Kafka, RabbitMQ, Amazon SQS and SNS, Amazon EventBridge, Slack, email, Microsoft 365 mail, GitHub and Twilio, and BPMN timer and message events start or resume instances on a schedule or when a message arrives. An MCP start event registers a deployed process as a tool that outside AI clients can call, and each call starts a new instance.

Sourcedocs.camunda.io/docs/components/connectors/out-of-the-box-connectors/available-connectors-overviewread 2026-10-12

An agent placed as a step in a case workflow runs when the case reaches that step, without anyone asking. At each workflow step Pega can invoke agents to automate manual work, the Agent Step hands judgment-based work such as verifying customer documents to an agent, and GenAI rules added as steps in a case lifecycle are invoked during case processing. The conversational side runs through self-service chat, email and voice.

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Agents can draw on company knowledge kept in a vector store. The Vector Database connector splits documents into chunks, embeds them with Amazon Bedrock Titan, Azure OpenAI, Google Vertex AI or OpenAI models, and writes them to Amazon OpenSearch, OpenSearch, Elasticsearch, Azure AI Search or Azure Cosmos DB. At run time it retrieves the most relevant passages by semantic similarity, so an agent can look up policies and procedures, search a large product catalog, reuse answers to past support questions or quote the exact policy behind a decision. The store grows as new documents are embedded.

Sourcedocs.camunda.io/docs/components/agentic-orchestration/rag-ai-agentsread 2026-10-12

Pega Knowledge Buddy grounds answers in the customer's own content. It ingests existing knowledge bases, connects to existing content storage or builds libraries in Pega Knowledge Management, and analyzes each new piece of content as it is added so the library stays current without retraining. Answers reach employee-facing Pega applications and collaboration channels, and through REST APIs and prebuilt widgets, with transparent attribution to the source content, and access rights control who can see what.

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Each agent keeps a short term conversation inside its process instance, passing the last 20 messages to the model by default while always keeping the system prompt. Those messages can live in a process variable, in Camunda document storage with a time to live set to the process's expected lifetime, in Amazon Bedrock AgentCore Memory, or in a custom store on self managed setups. Recall from one process instance to the next relies on an outside service such as AgentCore Memory, which AWS runs.

Sourcedocs.camunda.io/docs/components/connectors/out-of-the-box-connectors/agentic-ai-aiagent-subprocessread 2026-10-12

Within a session, conversation state carries as Pega's agents converse with customers and employees in self-service and assisted channels, and every agent working a case is given the full context of that case. The case is the business record itself. No separate memory that agents carry beyond the case is described, and nothing covers reviewing, editing, deleting or scoping memories by user, team or workspace.

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People sit in the process as user tasks, and Tasklist shows each assigned task whether the step before it ran automatically or an AI agent produced the result a person now acts on. A user task can be one of an agent's tools, so the agent asks for help or sign off inside its loop. For MCP tools, a gateway in front of the client lets listing and read operations through and routes selected calls to a user task for confirmation before they run. Task work can also reach people in Microsoft Teams, and teams can build their own task apps on the API.

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The agentic assignment agent reaches an employee or customer when additional data or approvals are needed to complete a request, and pulls them in by email, chat or telephony without manual outreach, so a person is brought in when a decision needs one.

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Camunda runs two identity layers, the Orchestration Cluster admin for runtime work and the management identity for Hub and Optimize, and both connect to an outside OpenID Connect provider such as Entra ID for single sign on, with LDAP and Active Directory on the licensed editions. Authorizations, roles, groups, mapping rules and tenants decide who can start, see and change processes, tasks and other resources. The company holds SOC 2 Type II, ISO 27001 and TISAX and is listed with the Cloud Security Alliance on its trust center.

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The Pega Trust Center publishes Pega's attestations with the documents behind them, including a Pega Cloud SOC 2 Type 2 report and SOC 1, a corporate ISO 27001 certificate, ISO 27017 and 27018, a Pega Cloud ISO 42001 certificate for AI management, a HITRUST certification letter, a PCI DSS attestation of compliance, a FedRAMP authorization package and a DoD IL4 provisional authorization for Pega Cloud for Government, IRAP, C5 and Cyber Essentials Plus.

Pega Cloud for Government holds FedRAMP High Authority to Operate, announced by Pega on 19 March 2025. The customer-facing controls are client-based access control rules that define where and how customer data is stored and accessed, and access-rights controls over who can reach knowledge content.

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Operate shows each agent instance's state, such as thinking or calling a tool, its usage metrics and its conversation history grouped by loop iteration, including the tools it picked and the results it got back, for native and connected external agents alike. Health indicators and limit warnings flag an agent that keeps calling the same tool or nears its configured limits. Every process and decision instance can be inspected step by step, audit log APIs record user and user task actions, and Optimize builds reports, dashboards and KPI alerts.

Sourcedocs.camunda.io/docs/components/agentic-orchestration/evaluate-agents/monitor-ai-agentsread 2026-10-12

Agent Tracer records every agent interaction, step, request and response, so what an agent did can be inspected step by step, and Pega's orchestration audits agent interactions across the process lifecycle. The GenAI layer is observable in its own right, with usage tracking of request and token volume and audit trails for compliance, and Agentic Process Fabric shows every agent in one gateway.

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SaaS customers choose the region for each cluster. On Google Cloud the choices include Belgium, London, Iowa, South Carolina, Montréal, Toronto, Singapore and Sydney, and on AWS they include Frankfurt, Paris, Ohio, Oregon, Virginia and Singapore, each paired with a secondary backup region. Enterprise customers can ask for custom regions. Self managed Camunda runs the whole stack on the customer's own infrastructure, and agent model calls can route through a private endpoint inside the customer's network.

Sourcedocs.camunda.io/docs/components/saas/regionsread 2026-10-12

Infinity 26 is available through Pega Cloud or in the client's own managed cloud. Pega Cloud for Government runs on AWS GovCloud for United States public sector workloads, and the Pega EU Service Boundary gives organizations in Europe control over where their data lives, who can access it and how it is managed.

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Camunda Marketplace carries model blueprints and connectors from Camunda, partners and the community, installed straight into a Hub project or downloaded for the desktop modeler. AI agent blueprints such as AI Agent Chat Quick Start and AI Agent Chat With Tools run out of the box on the Camunda provided LLM in SaaS. Partner and community connectors sit outside Camunda's commercial support, and administrators of a self managed Hub can switch the Marketplace off.

Sourcedocs.camunda.io/docs/components/hub/workspace/modeler/modeling/camunda-marketplaceread 2026-10-12

The document agent, a pre-built agent delivered with Infinity 26, analyzes complex documents, splitting, categorizing, scoring and triaging them for further processing, with a chat feature for asking questions about PDFs and images. Pega Customer Engagement Studio is an agent-powered workspace that takes marketers from brief to live personalized campaigns, and Pega's packaged applications, among them Customer Service, Customer Decision Hub and Sales Automation, arrive with ready-made workflows the buyer adopts and extends.

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The builder picks the provider and the backend for each agent. Anthropic Claude models run directly, through AWS Bedrock or through Microsoft Foundry, OpenAI models run directly, through Foundry or through any OpenAI compatible endpoint, and Google Gemini runs directly or through Google's Enterprise Agent Platform, with custom endpoints for private network setups and a custom provider on self managed installs. SaaS adds a Camunda provided LLM with a free budget for testing, so teams can switch between models such as Claude Sonnet 4.6 before moving to their own account.

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Pega describes its GenAI layer as provider agnostic at the model layer, across Azure OpenAI, AWS Bedrock and Google Vertex, and names selecting the right LLM provider, weighing cost, performance and compliance, as a design decision the customer's lead system architect makes. In AI Designer the builder runs GenAI rules with different model settings and compares outputs across models before choosing.

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The Orchestration Cluster REST API drives processes, instances, user tasks, decisions, identities and audit logs, with SDKs for Java, TypeScript, Python, C# and PHP and the c8ctl command line tool. The Orchestration Cluster MCP Server opens operational work such as incidents, user tasks and process instances to AI clients under the same authentication and authorization model as the REST API. Older Operate and Tasklist REST APIs remain available for existing integrations.

Sourcedocs.camunda.io/docs/apis-tools/orchestration-cluster-api-mcp/orchestration-cluster-api-mcp-overviewread 2026-10-12

Since Infinity 26, customers invoke Pega agents and workflows from AI assistants including Claude Cowork, ChatGPT and Office 365 Copilot over MCP at run time, and at design time they connect coding tools such as Claude Code, GitHub Copilot and OpenAI Codex to Pega Blueprint, Pega Infinity Studio and Pega Platform over MCP to build applications.

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Camunda Process Test runs an agent process as an integration test, keeping the real model in the loop while mocking outside tool calls. Conditional behavior reacts to whichever tools the agent activates instead of one fixed order, and judge assertions send an output and a plain language expectation to a model that rates the match against a set threshold, alongside semantic similarity checks. Tests run through a Spring Boot starter inside the project's own build.

Sourcedocs.camunda.io/docs/components/agentic-orchestration/evaluate-agents/test-ai-agentsread 2026-10-12

Changes are tested before they reach production. Pega uses AI to generate scenario tests for a customer's workflows, including the agent steps inside them, and the tests run directly in Pega or export to third-party testing tools. For the AI components themselves, GenAI rules are prompt-tuned and unit tested in the AI Designer playground to confirm responses meet business expectations before deployment.

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Camunda RPA runs Robot Framework scripts on a standalone RPA worker to operate legacy mainframe applications, desktop applications such as ERP systems and websites that expose no API. Each script runs as a step in a process, so screen work on an old system sits in the same flow as API calls, agent steps and user tasks, and scripts are built and tested before they move to production workers.

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Pega ships its own robotic automation that operates real application interfaces. In Pega Robot Studio, developers interrogate Windows and web applications by dragging a target over the specific control an automation needs, such as the user name field, password field and login button of an application's sign-in screen, and build the automation on the captured controls.

Match rules decide whether a captured control is still available to an automation, those rules may change when an application or web page updates, and the interrogation form flags any control it can no longer match. Pega Robot Manager runs these robots attended on a user's desktop or unattended, and Robotics Autopilot builds an automation from a plain-English task description.

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