Sken.io
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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.
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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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When I wanted to get the Endurance CF SL 8 Disc, it was out of stock at the time too. The same with estimated dates. Didnโt seem to reflect the actuality. I decided to use a tracking service, sken.io, to notify me when the webpage has changes. Saved a lot of time on manual checking. First time that it notified me, I got to the credit card processing page when the stock ran out in my size. Second time, I was able... Source: over 3 years ago
There are services out there that do it like VisualPing and Sken.io, but most are paid if you want down-to-the-minute accuracy. I ended up spinning up a server using ChangeDetection and it alerts me via email and discord, which didn't cost me anything. Source: over 3 years ago
I just set this up on https://sken.io. I put in Https://starlinkversions.com and highlighted the releases section and got an alert yesterday that a new version went out. I thought this would be helpful since falling behind on versions can be problematic. There are probably other services that do this. So far sken works great and didn't cost any money. Source: about 4 years ago
Nope, set up alerts on https://sken.io to notify me when the page changes ๐. Source: about 4 years ago
I can look into making a sken.io thing for the error page. Awesome work with the comment. Source: over 4 years ago
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