Letta vs Supabase

Side-by-side comparison of AI visibility scores, market position, and capabilities

Supabase leads in AI visibility (90 vs 39)
Letta logo

Letta

EmergingDeveloper Tools

AI Agent Frameworks

Open-source AI agent framework (formerly MemGPT). Three-tier persistent memory. $10M seed from Felicis. Letta Code #1 on Terminal-Bench. Jeff Dean backed.

AI VisibilityBeta
Overall Score
D39
Category Rank
#209 of 350
AI Consensus
85%
Trend
stable
Per Platform
ChatGPT
43
Perplexity
41
Gemini
44

About

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.

Full profile
Supabase logo

Supabase

EmergingDeveloper Tools

General

Supabase is the open-source Firebase alternative built on PostgreSQL, providing developers with a full backend including database, authentication, storage, and real-time subscriptions.

AI VisibilityBeta
Overall Score
A90
Category Rank
#20 of 350
AI Consensus
69%
Trend
stable
Per Platform
ChatGPT
86
Perplexity
88
Gemini
85

About

Supabase is an open-source backend-as-a-service platform that provides developers with a fully managed PostgreSQL database alongside a suite of backend services—authentication, file storage, edge functions, and real-time subscriptions—through a Firebase-compatible API. Founded in 2020 by Paul Copplestone and Ant Wilson, Supabase chose PostgreSQL as its foundation, betting that developers would prefer a fully relational, SQL-native database over the document-oriented approach of Firebase.

Full profile

AI Visibility Head-to-Head

39
Overall Score
90
#209
Category Rank
#20
85
AI Consensus
69
stable
Trend
stable
43
ChatGPT
86
41
Perplexity
88
44
Gemini
85
39
Claude
95
45
Grok
96

Key Details

Category
AI Agent Frameworks
General
Tier
Emerging
Emerging
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Letta
AI Agent Frameworks

Integrations

Only Supabase
Supabase is classified as company.

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