Tutor Intelligence

DeepTutor is an open-source, self-hostable AI tutoring platform developed by HKUDS for lifelong personalized tutoring. It provides a web application and command-line interface for interactive learning, problem solving, quiz generation, deep research, visualization, and mastery practice, with persistent memory and learning state shared across knowledge bases, books, notebooks, tutor personas, and other activities. The platform supports multi-agent problem solving, retrieval-augmented learning with source-traced and page-level citations, math animations, interactive visualizations, and tutor bots built from personal study materials. Its knowledge sources include personal documents, EPUBs and books with annotations, GitHub repositories, web search, and connected libraries; documented retrieval and ingestion options include GraphRAG, PageIndex, LightRAG, linked knowledge bases, Obsidian, and configurable parsing and vector backends. DeepTutor also includes courses, research workflows, an ecosystem of MCP services and tool or capability plugins, and integrations with connected coding agents and other partners. It can run locally or through Docker.

Tessl is an agent enablement platform for building AI-native software with structured, versioned context for coding agents. Its control plane includes a searchable registry for organizational and private skills, context-activation tracking, before-and-after evaluations, and checks for security and quality regressions. Tessl organizes agent workflows into loops, including automated code review, skill optimization, security scanning, documentation maintenance, model and agent evaluation, cost benchmarking, test-and-fix workflows, and incident postmortems. The platform also supports switching model providers through configuration and bringing a custom model for evaluation against real tasks. The video describes additional Tessl capabilities including Tessl Agent, Tessl Launch, governance for skills, and connectors linking issue trackers with GitHub workflows.

Cursor is an AI-powered coding agent and integrated development environment designed to accelerate software development by handing off coding tasks to AI. It evolved from an email client into a multimodel development tool, supporting broader developer workflows. The platform also offers MCP-connected capabilities for tasks like searching and editing notes.

Tadata is an AI employee for Slack that handles research and repetitive sales and go-to-market operations work. It can prepare call briefings, research prospects and companies, draft outreach and follow-up emails, fill CRM fields, monitor relevant LinkedIn activity, and suggest recurring automations. It connects to tools such as HubSpot, Attio, Notion, Linear, GitHub, Google Sheets, Gmail, and Google Calendar, as well as external web sources and MCP or API integrations. Tadata runs pre-built agents or builds an agent from a described process. It observes repeated work, learns team preferences, and requests approval before automating tasks or sending messages; connected-tool access is scoped to the user's authorization. The service is presented as model-agnostic, with portable automations, preferences, exceptions, and agent behaviors that can be exported and versioned.

G2i.ai is an engineering services company focused on AI training. It converts real software workflows into evaluations, tasks, rubrics, training environments, and data programs, and assembles vetted senior engineers for model evaluation, reinforcement-learning environments, agent workflows, and benchmark work. Its RL environments support UI/API parity, tool use, scoring, and telemetry; the company also describes security controls aligned with SOC 2 Type II workflows.