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Release notes, changelogs, and development activity from across the ibl.ai platform. This page tracks updates to our applications, infrastructure tooling, and open source projects — sourced from GitHub releases, commit logs, and internal development streams.
Featured Open Source
Open-source AI agent platform — build, deploy, and run agents on any LLM, with chat, voice, and RAG.
Skills-intelligence platform — discover courses, track competencies, and earn credentials.
Agent skills and a chat MCP server to operate the ibl.ai platform over its REST API.
Developer toolkit to scaffold production-ready AI apps on ibl.ai — SSO, chat, profiles, and analytics wired up.
Command-line tooling to provision and operate ibl.ai deployments — cloud, VPC, on-premise, or air-gapped.
The platform documentation source — every page published at ibl.ai/docs, versioned and open to contributions.
Showing 23 updates
Platform Update — August 14, 2026
Forty production releases in a week across the OS and LMS apps, the dm and auth services, the CLI, and six shared packages — Code Mode tool execution, agent memory controls, MCP server management, and a new audit log surface.
Code Mode: From One Prompt to a Running App
Code Mode is the coding agent built into the Agentic OS chat box. One prompt scaffolds a Next.js app from the Agentic Vibe starter, drops in pre-built ibl.ai components, installs dependencies, and runs it locally — with every tool call gated behind an explicit approval.
Agent Skills: Reusable Playbooks Your Agents Load On Demand
Agent Skills ship as a first-class surface: an organization-wide skill catalog, per-agent assignment, private skills, attachable file resources, and a / picker in chat that lets users invoke a skill by name.
New Testimonial: U.S. Department of Defense, Defense Industrial Base
David Heckman, PMP at the U.S. Department of Defense, on ibl.ai's work supporting an advanced manufacturing initiative for the Defense Industrial Base — now live as a highlighted testimonial on the case studies page and the home page.
User Profile and Organization Settings
Two walkthroughs of the panels behind the top-right menu in Agentic OS: the user profile, where each person controls what the AI remembers and how conversations are recorded, and organization settings, where admins brand the tenant, add their own model keys, and issue API credentials.
An AI Recruitment Agent That Fills the CRM
A Recruitment agent that searches social platforms for people publicly signaling interest in a program, qualifies each profile against the school's ideal student profiles, deduplicates against everyone it has already seen, and writes the survivors into the CRM with scores. One run read 738 Instagram posts in 45.8 seconds and recorded 13 qualified prospects for $1.70.
Platform Updates — July 31–August 7, 2026
13 production image releases (1.120.0 → 1.132.0) plus 39 iblai-web-frontend package releases — 52 in all: admin-set LLM spend caps enforced across tenant, agent, and per-user scopes; the Agent Computer Protocol and in-chat computer use in OS; a grading results API with grader components and a results tab; a new first-party iblai LLM provider covering chat, embeddings, and TTS; SEO foundations across OS and LMS; and notarized macOS desktop builds.
Syracuse Case Study, Expanded: Clementine in Production
The Syracuse University case study now carries the university's own published numbers — 2,038 students and 8,217 questions in 37 days of registration season — plus the classroom use cases Syracuse runs on the platform, and direct links to the four pages ITS publishes at ai.syracuse.edu.
Platform Updates — July 24–31, 2026
10 production image releases (1.109.0 → 1.119.0) plus the iblai-web-frontend packages: per-account usage checkpoints and OpenClaw worker cost attribution in the Data Manager, infinite-scroll projects and SDK-sourced agent settings in OS, nonce-based CSP enforced by default across the SPAs and web-utils v2, a v2 iblai-js and Auth SPA, field-level RBAC write filtering, the v1 application feature, and all-interface network binding in the CLI.
A Course Authoring Agent That Builds Canvas Courses End to End
A new Course Authoring agent takes a course description in plain English and assembles the whole thing in Canvas — shell, pages, assignments, quizzes, modules, module items — in dependency order, unpublished, idempotent, and ready for a human to review before students ever see it.
The ibl.ai Mac App — Offline LLMs and Sandboxed Agents
A native macOS app with everything the web platform does — chat, voice, MCP connectors, any LLM with your own keys — plus two things a browser can't do: local models that keep working with the network off, and agent tool execution sandboxed inside the app.
Give an Agent a Phone Number: Outbound Calls from Your Own Server
A new end-to-end tutorial in the ibl.ai API repo: stand up an agent runtime on your own VPS, teach it to place real outbound phone calls with one skill file and one shell script, and bind it to your organization over REST. About 30 minutes and roughly $4/month of infrastructure.
New Call Interface with Real-Time Transcription
Voice calls with agents get a redesigned in-call interface and a live transcript that streams both sides of the conversation as it happens — then lands in Analytics → Transcripts when the call ends.
Platform Updates — July 22–24, 2026
5 production image releases (1.104.0 → 1.108.0): granular per-object edX course-creation tools, searchable chat history and an Evals tab in OS, a nonce-based CSP, empty-tenant onboarding in the LMS, and Microsoft SSO plus embed-auth hardening in Auth.
ibl.ai Named an OpenAI Select Partner
ibl.ai has been named an OpenAI Select Partner — without lock-in. Already a Google, Microsoft, and AWS partner, the platform stays LLM-agnostic: deploy on your own infrastructure with full source-code ownership and swap models anytime.
Platform Updates — July 16–21, 2026
14 production image releases (1.87.0 → 1.102.0): granular edX course-creation tools, next-intl internationalization, a Chrome side-panel extension, an LMS sidebar and navbar revamp, and an independent second OpenID SSO backend.
Platform Updates — June 2026
74 production image releases (1.25.1 → 1.61.1): agent-driven edX course creation, streaming text-to-speech, first-class privacy-mode chat, the agentAI→OS and Skills→LMS renames, principal-agnostic RBAC, and optional AWS WAF in the infra CLI.
Claw Agents: 48 Pre-Built Agent Configurations Now Available
48 workspace-ready agent configurations for OpenClaw and NemoClaw instances, organized across higher education, enterprise, K-12, and small business verticals.
App CLI: Scaffold Production-Ready AI Applications
Interactive CLI for generating Next.js 15 applications with chat interfaces, authentication, and full ibl.ai SDK integration. Supports AI-assisted customization.
MCP Servers: 7 Model Context Protocol Servers for ibl.ai
A collection of MCP servers covering analytics, agent creation, agent chat, search, user management, and Canvas LMS integration. Connect from Claude Desktop, Cursor, or Claude Code.
Infrastructure CLI: End-to-End AWS Provisioning
Interactive CLI for provisioning the ibl.ai platform on AWS with Terraform and Ansible. Also supports bootstrapping existing servers on any cloud or bare metal.
.iblai Agent File Format: Portable Agent Definitions
A Markdown-based portable agent definition format. One file captures everything needed to define, share, and load an AI agent across tools, teams, and platforms.
Claw Setup: Connect Self-Hosted Agent Servers
Connect self-hosted OpenClaw and NVIDIA NemoClaw servers to the ibl.ai platform. Run your own agent infrastructure with full management through ibl.ai APIs.