ScreenRun's answer

ScreenRun is used by product teams and designers that want to share engaging videos of their apps or screens to colleagues, followers or clients.

ContextForge.dev's answer:

Software developers and engineering teams who use AI coding assistants — Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf — 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.

ScreenRun's answer

Many screen recording apps are either too simple (just record your screen) or complex, and none of them offered a way to quickly create engaging screen recordings by placing a few points over images or video clips to zoom and engage the person watching.

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 — so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.

ScreenRun's answer

Everything is web-based using modern browser APIs for video encoding and decoding. ScreenRun also uses AI from OpenAI to create automatic transcripts from your audio and video assets. But everything runs in your browser, no cloud involved for total privacy.

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.

ScreenRun's answer

Entirely web-based video creation too with zooms, webcam and automatic captions. And unlike many web-based products, ScreenRun runs entirely inside your web browser without sending any data to a server. This aspect is critical for total privacy in work contexts.

ContextForge.dev's answer:

ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once — Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf — 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 — all through a single MCP server you add with one command.

ScreenRun's answer

ScreenRun is so simple to use! And because it's web-based, you can access it from anywhere, including iPhone or Android.

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.