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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.
Target ContextForge.devContextForge.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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// Quick check - fetch raw HTML vs rendered content // If they differ significantly, you need JS rendering Const https = require('https'); Const html = await fetch('https://target.com').then(r => r.text()); Const hasAngularVueReact = /ng-app|vue|react|__NEXT_DATA__/i.test(html); Console.log('Needs JS rendering:', hasAngularVueReact);. - Source: dev.to / about 2 months ago
From camoufox import Camoufox From scrapling import Selector # Camoufox: stealth browsing with Firefox fingerprint (81MB) With Camoufox(headless=True) as browser: page = browser.new_page() page.goto('https://target.com') html = page.content() # Scrapling: adaptive parsing with CSS/XPath Sel = Selector(html) Data = sel.css('.product::text').getall(). - Source: dev.to / about 2 months ago
Target โ Site Map โ review discovered URLs # Active endpoint discovery โ find what browsing didnโt reveal Ffuf -u https://target.com/FUZZ \ -w /usr/share/seclists/Discovery/Web-Content/common.txt \ -fc 404 -mc 200,301,302,403 # JavaScript analysis โ find hidden API endpoints Curl -s https://target.com | grep -oE โsrc=โ[^โ]+.jsโโ # Review each .js file for API paths, credentials, business logic # What to document... - Source: dev.to / 3 months ago
Import requests # Single gateway endpoint handles everything Proxy = { "http": "http://user:pass@gateway.provider.com:8080", "https": "http://user:pass@gateway.provider.com:8080" } Response = requests.get("https://target.com", proxies=proxy). - Source: dev.to / 5 months ago
From playwright.sync_api import sync_playwright # Playwright uses a real Chromium engine # TLS fingerprint matches Chrome With sync_playwright() as p: browser = p.chromium.launch() page = browser.new_page() page.goto("https://target.com") # Real Chrome TLS fingerprint. - Source: dev.to / 5 months ago
Amazon - Online shopping from the earth's biggest selection of books, magazines, music, DVDs, videos, electronics, computers, software, apparel & accessories, shoes, jewelry, tools & hardware, housewares, furniture, sporting goods, beauty & much more
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
Walmart - Find quality products at unbeatable prices at home, in our stores or on the go.
OpenMemory MCP - Your private, local memory layer for all AI tools
eBay - Buy and sell electronics, cars, fashion apparel, collectibles, sporting goods, digital cameras, baby items, coupons, and everything else on eBay, the world's online marketplace
Best Buy - Where technology meets a simpler, more convenient way to shop Best Buy.