Side-by-side comparison of AI visibility scores, market position, and capabilities
Open-source AI agent framework (formerly MemGPT). Three-tier persistent memory. $10M seed from Felicis. Letta Code #1 on Terminal-Bench. Jeff Dean backed.
Letta (formerly MemGPT) is an open-source AI agent framework developed by researchers at UC Berkeley to solve one of the core limitations of large language models in production: the lack of persistent memory across conversations and tasks. Founded on groundbreaking academic work demonstrating that LLMs could manage their own context windows using a tiered memory system, Letta evolved from a research project into a full-featured agent development platform for building stateful, long-running AI agents.\n\nLetta's three-tier memory architecture — separating in-context working memory, external archival storage, and recall memory — enables agents that remember past interactions, learn from experience, and maintain coherent long-term task execution. The framework supports multi-agent orchestration, tool use, and human-in-the-loop workflows, making it suitable for complex enterprise automation tasks. Letta Code, the company's coding-focused agent, achieved the #1 ranking on Terminal-Bench, the leading benchmark for AI coding agents operating in real terminal environments.\n\nLetta raised a $10M seed round from Felicis Ventures, with backing from Google Distinguished Engineer Jeff Dean — a notable endorsement from one of the architects of modern deep learning infrastructure. The Terminal-Bench leadership demonstrates that Letta's memory architecture translates to measurable performance advantages in real-world agentic tasks. As enterprises move from LLM experimentation to deploying persistent AI agents in production, Letta's open-source foundation and research-backed memory system position it as a foundational framework in the agentic AI stack.
SF AI coding platform with Replit Agent building full-stack apps from natural language for 35M+ users; $97.4M a16z-backed at $1.16B valuation competing with Cursor and GitHub Copilot for AI-native development.
Replit is a San Francisco-based AI-powered coding platform — backed with $97.4 million raised at a $1.16 billion valuation from a16z, Y Combinator, and others — providing browser-based development environments, collaborative coding, and AI code generation through Replit Agent (an autonomous AI that builds full-stack applications from natural language prompts) for 35 million+ developers, students, and non-technical founders globally. Founded in 2016 by Amjad Masad and Haya Masad, Replit has evolved from a collaborative online IDE to a comprehensive AI-native development platform where non-programmers can describe an application and have it built, deployed, and hosted without writing code.
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.