Deploy owned, purpose-built AI agents directly inside your Moodle environment — no vendor lock-in, full data sovereignty.
Moodle is the world's most widely deployed open-source LMS, trusted by thousands of institutions for its flexibility and extensibility. Pairing it with ibl.ai Agentic OS unlocks a new layer of intelligent automation — purpose-built AI agents that act on real learning data, not generic prompts.
Agentic OS connects to Moodle via open APIs and LTI standards, enabling agents to read course activity, learner progress, and engagement signals in real time. These agents can automate support workflows, surface at-risk learners, personalize content delivery, and orchestrate multi-step instructional tasks without replacing your existing Moodle setup.
Unlike SaaS AI bolt-ons, ibl.ai agents run on your infrastructure. Your institution owns the agent code, the training data, and the deployment environment — making this integration ideal for privacy-conscious institutions that demand FERPA compliance and full auditability.
The integration connects Moodle LMS to ibl.ai Agentic OS through a secure middleware layer using Moodle's REST API, LTI 1.3, and webhook event streams. Agentic OS orchestrates specialized AI agents that consume Moodle data, execute defined tasks, and write outcomes back to Moodle or downstream systems.
Exposes Moodle learner, course, and event data to Agentic OS in a structured, authenticated format
Moodle Web Services API, LTI 1.3, OAuth 2.0Coordinates multi-agent workflows, routes tasks to specialized agents, and manages execution state
ibl.ai Agentic OS runtime, containerized microservicesHosts domain-specific agents (tutoring, at-risk detection, content adaptation) with defined roles and guardrails
ibl.ai agent framework, LLM backends (customer-selected)Persists agent memory, interaction logs, and learner context on customer-owned infrastructure
PostgreSQL, object storage (S3-compatible), deployed on-premise or private cloudActivate Moodle's Web Services framework and create a dedicated service token with scoped permissions for course, user, and grade data. Assign the token to a service account with appropriate role capabilities.
Register ibl.ai Agentic OS as an external LTI 1.3 tool in Moodle. This enables deep-link launches, grade passback, and context-aware agent sessions directly within Moodle course pages.
Provision the ibl.ai Agentic OS runtime on your preferred infrastructure — on-premise servers, private cloud, or a dedicated VPC. Use the provided Helm charts or Docker Compose manifests for containerized deployment.
In the Agentic OS admin console, add Moodle as a data source by entering the API base URL, service token, and webhook endpoint. Run the connection test to validate data ingestion and event streaming.
Select and configure purpose-built agents from the Agentic OS agent library — such as at-risk detection, learner support, or content recommendation agents. Define triggers, escalation rules, and output channels (Moodle messages, email, dashboard).
Run end-to-end tests using sandbox learner accounts. Validate agent responses, grade passback accuracy, and event trigger timing. Enable production monitoring dashboards in Agentic OS before full rollout.
Agents continuously monitor Moodle activity streams — logins, submissions, forum participation — to build dynamic learner profiles and surface actionable insights to instructors and advisors.
Purpose-built agents analyze engagement patterns and grade trajectories to identify at-risk learners early, triggering automated outreach or escalation workflows without manual intervention.
Embed specialized agents directly into Moodle courses via LTI. Each agent has a defined role — tutor, coach, assessor — ensuring focused, reliable behavior rather than open-ended chatbot responses.
Agentic OS coordinates multi-step workflows that span Moodle and connected systems like SIS, CRM, or HR platforms — automating credential triggers, compliance reporting, and learner lifecycle events.
All agent logic, learner interaction data, and model outputs reside on your infrastructure. No data leaves your environment to third-party AI vendors, ensuring FERPA compliance and institutional data sovereignty.
Start with pre-built agents for common education workflows and extend them using the Agentic OS SDK. Custom agents can be built, versioned, and deployed without rebuilding your Moodle environment.
An at-risk detection agent monitors Moodle engagement data daily, flags learners showing disengagement patterns, and automatically sends personalized outreach messages or notifies academic advisors — reducing manual monitoring workload.
A contextual support agent embedded in Moodle courses answers learner questions using course content as its knowledge base, escalates unresolved queries to instructors, and logs all interactions for quality review.
Organizations using Moodle for employee training deploy Agentic OS to automate compliance workflows — tracking completion, issuing reminders, generating audit-ready reports, and triggering credential events upon course passage.
Agents analyze individual learner performance data from Moodle assessments and dynamically recommend or unlock course resources, remedial content, or advanced modules — personalizing the learning journey at scale.
A reporting agent aggregates Moodle course completion, assessment, and engagement data on a scheduled basis, generates natural-language summaries for leadership, and pushes structured data to institutional dashboards or data warehouses.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.