
Liveworksheets
Worksheetzone.org
Buildsheet.one
Kahoot!
Quizlet
Easy Grade Calculator
Devsheet
Kidtivity Lab
ContextForge.dev
Agentmemory
OpenMemory MCP
ContextForge is persistent, searchable memory for AI coding agents โ built on the Model Context Protocol (MCP).
Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client recalls it later with semantic search โ across sessions and across projects.
Works with: Claude Code, Claude Desktop, Cursor, GitHub Copilot, ChatGPT, and Windsurf.
Liveworksheets
ContextForge.devNo features have been listed yet.
ContextForge.dev's answer:
ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once โ Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf โ not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing โ all through a single MCP server you add with one command.
ContextForge.dev's answer:
Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.
ContextForge.dev's answer:
Software developers and engineering teams who use AI coding assistants โ Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf โ and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.
ContextForge.dev's answer:
ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol โ so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.
ContextForge.dev's answer:
Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.
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Buxibans kind of suck, it really depends on your class size. If you want to save time on your resources, you can probably buy lesson plans. If your games aren't going down well, I recommend using technology if you can. My issue was that I didn't have nearly enough content (2 pages for a class of kids was meant to last 3 hours a week!) so I had to make more. If you're in the same position, just print off a bunch... Source: about 4 years ago
Worksheetzone.org - Download thousands of ready-to-use printable worksheets. AI-powered worksheet makers to create and assign online-interactive worksheets for teachers, schools, and tutors. Interactive handwriting activities that can easily be embedded in any LMS.
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
Buildsheet.one - A lightweight Notion-like drag and drop cheatsheet builder
OpenMemory MCP - Your private, local memory layer for all AI tools
Kahoot! - Kahoot! makes it easy to create, play and share fun learning games in minutesโfor any subject, in any language, on any device.
Quizlet - Quizlet allows you to review and create flashcards for a variety of subjects, such as math and reading.