Nfig vs Memori Labs (formerly GibsonAI)

Explore the showdown between Nfig vs Memori Labs (formerly GibsonAI) and find out which AI Agents tool wins. We analyze upvotes, features, reviews, pricing, alternatives, and more.

When comparing Nfig and Memori Labs (formerly GibsonAI), which one rises above the other?

When we contrast Nfig with Memori Labs (formerly GibsonAI), both of which are exceptional AI-operated agents tools, and place them side by side, we can spot several crucial similarities and divergences. Interestingly, both tools have managed to secure the same number of upvotes. Your vote matters! Help us decide the winner among aitools.fyi users by casting your vote.

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Nfig

Nfig

What is Nfig?

Nfig is an agent API that turns natural language into browser actions so AI agents can browse, click, type, and finish tasks on live websites. You send instructions like open a page, search a product, or click a button, and Nfig runs them in a remote cloud browser through its Node.js SDK.

Generic web scrapers pull static HTML. Nfig targets interactive flows that need logins, pop-ups, file uploads, or changing page layouts, with self-healing steps when a site shifts structure. That focus on authenticated, resilient browser control is the trade-off: it is not a general LLM chat API, and it is built around step-based browser automation rather than bulk data extraction alone.

Developers building AI agents for sales demos, in-app customer training, or multi-site research are the core audience. The SDK connects to Playwright-backed remote sessions, docs live at docs.nfig.io, and signup runs through app.nfig.io with a Discord community for support.

Memori Labs (formerly GibsonAI)

Memori Labs (formerly GibsonAI)

What is Memori Labs (formerly GibsonAI)?

Memori Labs builds agent-native memory infrastructure that captures each agent run and chat turn as structured facts, preferences, rules, and summaries inside SQL databases you already operate. Drop the Memori SDK into existing agent code and the layer classifies what to remember, recalls only relevant context, and explains why each memory surfaced in a prompt.

Vector-only memory stacks replay long chat histories or bolt on separate search services. Memori stores memory in relational tables, runs targeted recall across conversations and documents, and adds semantic search only when phrasing gets fuzzy. The team reports 87 percent accuracy on LoCoMo with 97 percent fewer tokens than full-context retrieval, which matters when production agents run thousands of sessions per day.

The open-source Memori engine on GitHub pairs with Memori Cloud for teams that want a hosted API without wiring storage themselves. Production plans start at $60,000 per year for a single agent, with enterprise contracts for multi-agent fleets, SLAs, and forward-deployed engineering.

Nfig Upvotes

6

Memori Labs (formerly GibsonAI) Upvotes

6

Nfig Top Features

  • Runs browser steps at $0.005 per standard step or $0.015 per Lite step on pay-as-you-go billing

  • Node.js SDK uses Playwright to control remote cloud browser sessions

  • Self-healing automations retry when a website layout changes mid-run

  • Scripts authentication flows for sites that require logins or pop-ups

  • Proxy usage billed at $12.5 per GB when routing traffic through Nfig

  • SOC 2 compliant with GDPR alignment stated on the Nfig security page

  • Ranked #3 Product of the Day on Product Hunt at launch

Memori Labs (formerly GibsonAI) Top Features

  • Open-source Memori SDK on GitHub with one-line enable() integration for existing LLM calls

  • LoCoMo benchmark shows 87 percent accuracy with 97 percent lower token use than full-context retrieval

  • Classifies each turn into facts, preferences, rules, and summaries with configurable retention

  • Memori Cloud free tier at $0 for prototyping with signup at app.memorilabs.ai

  • Production plans start at $60,000 per year for a single production agent

  • Multi-agent production tier starts at $150,000 per year for several live agents

  • Explainable recall includes lineage showing why each memory entry was included

Nfig Category

    Agents

Memori Labs (formerly GibsonAI) Category

    Agents

Nfig Pricing Type

    Freemium

Memori Labs (formerly GibsonAI) Pricing Type

    Freemium

Nfig Technologies Used

Next.js
Amazon Web Services
Google Analytics
Google Tag Manager
Intercom
Ruby
Cloudinary
Discord
GitHub
Webpack
Tailwind CSS

Memori Labs (formerly GibsonAI) Technologies Used

Next.js
Cloudflare

Nfig Tags

Browser Automation
AI Agents
Web Scraping API
Playwright SDK
Remote Browser
Authentication Flows
Node.js SDK
API

Memori Labs (formerly GibsonAI) Tags

Agent Memory
SQL-Native Storage
Context Retrieval
Open Source SDK
Memory Graph
Semantic Search
Enterprise Agents
Automated Data Modeling
By Rishit