Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Most educators + teachers + course designers building interactive classroom experiences today have been either (a) using closed-source edtech tools (Khanmigo, MagicSchool, Eduaide) that lock-in the user's data and tool choices, (b) hand-rolling a custom LMS / classroom platform without multi-agent orchestration, or (c) using general-purpose multi-agent frameworks (CrewAI / AutoGen / LangGraph) wit
Who should use it
Who should skip it
Consider OpenMAIC: MIT Open Multi-Agent Interactive Classroom (AI Teachers + Classmates with Whiteboard + Real-Time Discussion, JCST'26 Paper, v0.3.0 SDK Family) lower priority if you already have a working solution in this category.
About this signal
OpenMAIC: MIT Open Multi-Agent Interactive Classroom (AI Teachers + Classmates with Whiteboard + Real-Time Discussion, JCST'26 Paper, v0.3.0 SDK Family) is tracked by RepoRadar as a tool in the Radar section. It was first seen on 2026-07-08 and last updated on 2026-07-08. The current verdict is 'try now' with a Silver tier and moderate setup difficulty. OpenMAIC: MIT Open Multi-Agent Interactive Classroom (AI Teachers + Classmates with Whiteboard + Real-Time Discussion, JCST'26 Paper, v0.3.0 SDK Family) leads on workflow potential (8.6) and open-source/build quality (8.4); its lowest signal is maturity (5.7), so factor that in before investing setup time. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned OpenMAIC: MIT Open Multi-Agent Interactive Classroom (AI Teachers + Classmates with Whiteboard + Real-Time Discussion, JCST'26 Paper, v0.3.0 SDK Family) a composite score of 7.9 out of 10, placing it in the Silver tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 0.0 and never affects the composite score or tier. The risk label of 'low' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
The 19; 456* / 3; 825-fork / 108-subscriber repo is at active maintenance with a published JCST'26 paper but the consumer SHOULD note the v0.3.0 was released on 2026-06-28 -- the consumer SHOULD pin the OpenMAIC version (v0.3.0+) and review the upgrade notes before production deploy; the consumer SHOULD note the README's News section references several forward-looking model names (GLM-5.2.