Does the Canvas + Agentic OS integration require replacing our existing Canvas setup?

No. Agentic OS integrates with your existing Canvas environment via LTI 1.3 and the Canvas REST API. There is no migration required. Your courses, data, and workflows remain in Canvas — Agentic OS adds an AI agent layer on top.

Where does student data go when agents process Canvas information?

All data stays on your institution's infrastructure. Agentic OS is deployed on your servers, and no learner data is transmitted to ibl.ai or external clouds unless your institution explicitly configures an external LLM endpoint. The integration is designed for FERPA compliance by default.

What is the difference between Agentic OS and a generic AI chatbot added to Canvas?

Generic chatbots have no defined role or institutional context. Agentic OS agents are purpose-built with specific roles — advisor, grader, analyst — and operate on real Canvas data. They follow defined behavior policies and are scoped to authorized tasks, not open-ended conversation.

Can we build custom agents for our institution's specific Canvas workflows?

Yes. The Agentic OS SDK allows your development team to build, fork, or extend agents. Custom agents can connect to Canvas data, internal SIS systems, and other institutional tools. ibl.ai also offers professional services for custom agent development.

How long does it take to go from zero to live agents in Canvas?

A standard deployment with pre-built agents typically takes 1–2 weeks, including infrastructure provisioning, LTI configuration, SSO setup, and pilot testing. Custom agent development timelines vary based on complexity.

Is the integration compatible with Canvas Data 2 and Canvas Data Streaming?

Yes. Agentic OS can ingest Canvas Data 2 exports and streaming event data for batch analytics use cases. This enables richer longitudinal analysis beyond what the real-time REST API provides, such as cohort-level curriculum analytics.

What compliance certifications does ibl.ai Agentic OS support?

Agentic OS is designed to support FERPA, HIPAA, and SOC 2 compliance requirements. Because the platform runs on institution-owned infrastructure, compliance controls — data residency, access logging, encryption — are managed by the institution with ibl.ai's architectural guidance.

Can Agentic OS agents write back to Canvas, such as posting grades or announcements?

Yes. Agents can perform write operations in Canvas including LTI Advantage grade passback, posting announcements, sending Canvas inbox messages, and creating calendar events — subject to the permission scopes configured during setup.

Canvas LMS + Agentic OS Integration

Canvas LMS powers learning for millions of students worldwide. With ibl.ai Agentic OS, institutions can layer a full AI agent platform directly onto their existing Canvas environment — no rip-and-replace required.

Agentic OS connects to Canvas via LTI 1.3 and REST APIs, enabling purpose-built agents to act on real course data. Agents can surface insights, automate workflows, and personalize experiences without leaving the Canvas ecosystem.

Unlike generic AI add-ons, every agent you deploy through Agentic OS runs on your own infrastructure. Your data stays yours — fully FERPA-compliant and free from vendor lock-in.

Architecture

Agentic OS sits as a middleware intelligence layer between Canvas LMS and your institution's data and compute infrastructure. It communicates with Canvas through LTI 1.3 tool launches and the Canvas REST API, pulling course, enrollment, and activity data to inform agent behavior. Agents are orchestrated by the Agentic OS runtime and can write back to Canvas via grade passback, announcements, and messaging APIs.

Data Flows

Canvas LMSAgentic OS Agent RuntimeCourse enrollments, assignments, grades, activity logs (real-time)

Agentic OS Agent RuntimeCanvas LMSGrade passback, feedback comments, announcements (on-demand)

Canvas LMSAgentic OS Analytics EngineLearner engagement events, quiz submissions, discussion posts (batch)

Agentic OS Analytics EngineInstitution Data WarehouseAggregated learner performance metrics, agent interaction logs (batch)

Institution Identity Provider (SSO)Agentic OSUser authentication tokens, role mappings (real-time)

Components

LTI 1.3 Bridge

Handles secure tool launches from Canvas, passing user context and course data to Agentic OS agents

LTI Advantage, OAuth 2.0, JWKS

Agentic OS Runtime

Orchestrates agent lifecycles, manages task queues, and routes Canvas events to the appropriate purpose-built agents

ibl.ai Agentic OS, containerized microservices

Canvas REST API Connector

Reads and writes Canvas data including grades, courses, users, and announcements on behalf of authorized agents

Canvas REST API v1, OAuth 2.0 tokens

Agent Data Store

Persists agent memory, interaction history, and learner context on institution-owned infrastructure

PostgreSQL, vector database (institution-hosted)

Setup Guide

Provision Agentic OS on Your Infrastructure

2–4 hours

Deploy the ibl.ai Agentic OS stack to your cloud environment or on-premises servers. ibl.ai provides Helm charts for Kubernetes and Docker Compose configurations for rapid provisioning.

Kubernetes cluster or Docker-compatible host
Minimum 8 vCPU, 32 GB RAM for production
Outbound network access to Canvas API endpoint

Register Agentic OS as an LTI 1.3 Developer Key in Canvas

30 minutes

In Canvas Admin, create a new LTI Developer Key using the JSON configuration provided by Agentic OS. Enable the key and note the Client ID for the next step.

Canvas Admin account
Agentic OS LTI configuration JSON (provided post-provisioning)
Canvas instance URL

Configure Canvas API OAuth Credentials in Agentic OS

20 minutes

Generate a Canvas API token or configure OAuth 2.0 client credentials. Enter these into the Agentic OS admin console to authorize agent read/write access to Canvas data.

Canvas API token with appropriate scopes
Agentic OS admin console access

Connect Your Identity Provider for SSO

1 hour

Link your institution's SSO (SAML 2.0 or OIDC) to Agentic OS so that Canvas user sessions map seamlessly to agent contexts without requiring separate logins.

SAML 2.0 or OIDC-compatible IdP (e.g., Shibboleth, Azure AD, Okta)
IdP metadata or OIDC discovery URL

Select and Configure AI Agents

1–3 hours per agent

From the Agentic OS agent marketplace, choose purpose-built agents for your use cases — such as a course advisor agent or an at-risk learner detection agent. Configure each agent's role, data access scope, and behavior policies.

Defined use cases and agent roles
LLM endpoint configured (institution-hosted or approved provider)

Deploy Agents to Canvas Courses and Test

2–4 hours

Add the Agentic OS LTI tool to target Canvas courses or at the account level. Run end-to-end tests with pilot users to validate data flows, agent responses, and grade passback accuracy before full rollout.

Pilot course or sandbox Canvas environment
Test user accounts across student, instructor, and admin roles

Capabilities Unlocked

Purpose-Built Agent Deployment

Deploy agents with defined roles — advisor, tutor, grader, analyst — directly inside Canvas. Each agent has a specific scope and does not behave as a generic chatbot.

Real-Time Canvas Data Access

Agents read live Canvas data including enrollments, submissions, grades, and discussion activity to make contextually accurate decisions and recommendations.

Automated Grade Passback

Agents can evaluate open-ended responses, simulations, or custom assessments and write scores directly back to the Canvas gradebook via LTI Advantage.

Institution-Owned Infrastructure

All agents, models, and learner data run on your servers. No student data is sent to ibl.ai or third-party clouds without explicit institution authorization.

Agent Orchestration and Monitoring

The Agentic OS dashboard gives administrators full visibility into agent activity, task queues, error logs, and performance metrics across all Canvas courses.

Extensible Agent API

Build custom agents using the Agentic OS SDK and connect them to Canvas data. Extend or fork existing agents to match your institution's unique workflows.

Enabled Use Cases

At-Risk Learner Early Intervention

Student Success

An Agentic OS monitoring agent continuously analyzes Canvas engagement signals — login frequency, assignment completion, grade trends — and automatically alerts advisors or triggers outreach when a student shows risk indicators.

Automated Assignment Feedback at Scale

Academic Affairs

Instructors configure a grading agent to provide detailed, rubric-aligned feedback on written submissions in Canvas. The agent drafts feedback for instructor review or posts it directly, reducing turnaround from days to minutes.

Intelligent Course Navigation Assistant

Instructional Design

A Canvas-embedded agent helps learners navigate course materials, surface relevant resources, and answer syllabus questions — reducing repetitive instructor queries and improving learner self-sufficiency.

Compliance Training Automation

HR / Compliance

For enterprise training programs on Canvas, Agentic OS agents track completion, assess comprehension through adaptive questioning, and generate compliance reports — all without manual administrator effort.

Curriculum Analytics and Optimization

Institutional Research

Institutional research teams use Agentic OS analytics agents to aggregate Canvas performance data across cohorts, identify curriculum gaps, and generate actionable reports for program improvement.

Technical Requirements

Canvas LMS Requirements

Canvas LMS (Cloud or self-hosted) version 2022 or later
Canvas Admin access to create LTI Developer Keys
LTI 1.3 / LTI Advantage enabled on Canvas instance
Canvas REST API access with scopes: courses, enrollments, assignments, submissions, grades
Canvas Data 2 or Data Streaming enabled (optional, for batch analytics)

Agentic OS Infrastructure Requirements

Kubernetes 1.25+ or Docker Engine 24+ on institution-managed infrastructure
Minimum 8 vCPU, 32 GB RAM, 200 GB SSD for production deployment
PostgreSQL 14+ for agent state and interaction storage
Vector database (pgvector, Weaviate, or Qdrant) for semantic agent memory
LLM endpoint: institution-hosted (Ollama, vLLM) or approved API (Azure OpenAI, AWS Bedrock)
TLS-terminated reverse proxy (NGINX or Traefik) with valid SSL certificate

Security and Compliance Requirements

SAML 2.0 or OIDC identity provider for SSO integration
Network firewall rules permitting Canvas-to-Agentic OS HTTPS traffic
Data residency controls configured to keep PII within institution boundaries
Role-based access control (RBAC) policies defined for agent data scopes
Audit logging enabled on Agentic OS for FERPA compliance documentation