LMS Collaborator
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LMS Collaborator is a best solution for companies from 50 employees. Also it used in trainig centers, goverment and non-profit organizations. It gives three solutions in one platform - eLearning, Knowledge Base, and Communication Center.
The LMS Collaborator Task maintain any content such as: simple resource - page, file, audio, video, image gallery, document, presentation, e-book, etc. - all can be shown in browser for reading and view; interactive web-application in SCORM (1.2 or 2004) and HTML formats; quizz and polls for testing knowledge and organizing surveys (votes, feedbacks, polls); interactive workshops - the assignment of practical tasks and their estimation in the personal chat; assessment tool - checklist of compliense or 360 degree survey; webinar or inperson meetup in classroom; e-learning course; big learning program with many learning subtasks and conditions of their completion and access to them. Each Task supports different options of assigning users, options of during period, commenting ability, publication into a catalog, score parameters, ability of getting badge or certificate, and other settings of learning process. Some tasks parameters depend on content type. It's a testing process params if content is a quizz, or polls setting if content is a survey for example.
Collaborator offers an REST API, which allows businesses to integrate the platform with third-party solutions or anyone corporate information system.
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.
LMS Collaborator ContextForge.devThis platform is highly recommended for medium to large enterprises looking for a scalable and customizable LMS solution. It is also suitable for organizations that emphasize collaborative learning and need to easily integrate training within their existing workflows.
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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