Node.js
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Unabyss
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Set it up once and never re-explain yourself to AI again. Connect the apps you use daily - Unabyss will extract, structure, and update your context automatically. Share it with any AI tool via MCP, with granular control over what each tool can see.
Node.js UnabyssUnabyss's answer:
Unabyss isn't just MCP connectors bolted onto keyword search. It's a full context layer that sits between your tools and your AI: it ingests data from 30+ sources, then cleans, chunks, tags, versions, and connects it into a multi-store context graph (graphs + RAG + semantic search). Your AI tools โ Claude, Cursor, any agent โ pull the right slice of context on demand over MCP, so you never re-explain yourself and never maintain manual .md files again. The structuring and retrieval layer is the moat; raw MCP connectors don't do it.
Unabyss's answer:
Most memory tools (Mem0, Letta, Supermemory, Cognee, Personal.ai) or platform-native memory (ChatGPT/Claude/Gemini) lock your context inside one place or treat it as a flat store. Unabyss is MCP-first and portable: your context lives in one user-owned layer and works across every AI tool at once. You get diff-based ingestion so only what changed re-syncs, full version history with newest-version-wins conflict resolution, and iOS-style granular permissions that keep personal and company context cleanly separated โ with an audit trail and one-click revoke. It's the difference between a memory feature and a context infrastructure you control.
Unabyss's answer:
Two core personas. First, Builders โ developers, AI consultants, and technical PMs who are MCP-native and already wiring up agents and automations; they activate through MCP naturally. Second, AI Enthusiasts โ founders, operators, marketers, and growth people who use AI every day and are tired of re-explaining their context across tools. We're expanding from this prosumer wedge toward small teams (5โ15 people), where the value shifts to a shared "company brain" and cross-project memory.
Unabyss's answer:
Unabyss began with a simple thesis: people should own a portable context layer that any AI tool can use. We started with content creation as the wedge โ an AI ghostwriter with a deep-interview mode that captured how someone actually thinks and works โ and hit $12.5K MRR at $500+ ARPU in seven months. But users kept telling us the magic wasn't the writing; it was that "it knows me." They started asking why their other tools couldn't start from that same context. That pull pushed us to build the full context vault and go all-in on MCP: the real "wow" isn't a vault UI, it's Claude or Cursor instantly having your context with zero copy-paste. We launched on Product Hunt in May 2026 and hit #1 Product of the Day.
Unabyss's answer:
Backend: Django 6 + Django REST Framework Web (product + marketing): SvelteKit โ app.unabyss.com and unabyss.com Database: PostgreSQL (including Neon) Distribution: MCP server (primary), plus REST API and OpenAI function-calling adapters Integrations: 30+ native connectors Infrastructure: Docker Compose, VPS deployment behind nginx with SSL
Unabyss's answer:
Based on our record, Node.js seems to be more popular. It has been mentiond 921 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Node >= 22 or higher installed on their local development machine. - Source: dev.to / 2 months ago
TypeScript / Node.js: Excellent for building asynchronous backend systems that must stream text data smoothly to thousands of users simultaneously. - Source: dev.to / 2 months ago
Because Node.js operates on a single-threaded asynchronous runtime, it is inherently vulnerable to processes that hog the CPU for too long. I absolutely cringe whenever I see developers blindly copy-pasting complex regular expressions from StackOverflow without actually testing their performance impact. - Source: dev.to / 2 months ago
This tutorial walks you through setting up a simple Docker Compose project that serves two Node web servers over HTTPS using Caddy as a reverse proxy. You will learn how to use mkcert to generate wildcard certificates and the minimal configuration needed in the Caddyfile and docker-compose.yml to get it all working. - Source: dev.to / 3 months ago
Node.js: This is required for Hardhat. You can check if your terminal has it installed by running node -v. It will show a version number, if it is already available. If not, download the LTS version from https://nodejs.org/en, install it, then reopen your terminal and recheck to confirm successful installation. - Source: dev.to / 4 months ago
VS Code - Build and debug modern web and cloud applications, by Microsoft
Claude by Anthropic - A family of foundational AI models
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
mcp skills - Let AI agents extend themselves with skills
Laravel - A PHP Framework For Web Artisans
Nia - AI code agent that actually understands your codebase
