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What is SenseLab?

SenseLab operates as a cloud-centric platform aimed at improving memory and learning capabilities for AI agents and agent-driven applications. It features collaborative knowledge environments called "Rooms," where teams and agents can document, access, and share contextual information across different sessions, models, and tools. This system allows agents to preserve their findings, the rationale behind their choices, and the results of those decisions, while also implementing version control and utilizing feedback to enhance the reliability of the stored information. To support integration, SenseLab offers an MCP server and SDKs in both Python and TypeScript, enabling agent clients and applications to connect through API-key authentication. This functionality allows teams to effortlessly exchange context between agents, synchronize their activities, analyze previous decision-making processes, and maintain organized documentation for evaluation or training purposes. Tailored for developers and organizations engaged in creating multi-agent systems, SenseLab also provides documentation for a self-hosting solution, available through an open-source codebase, which grants teams the ability to customize their implementation as required. Additionally, the platform fosters an environment that encourages innovation and collaboration, making it an invaluable asset for AI development projects. Ultimately, SenseLab stands out as a robust tool for enhancing cooperative efforts in the realm of artificial intelligence.

What is Membase?

Membase is a robust memory solution crafted for both individuals and developers who are dedicated to the creation of AI agents. It aggregates insights from various sources, including discussions, documents, online content, and integrated applications, resulting in a reliable memory framework that users can easily review, modify, delete, and export as they require. To streamline memory management, it provides a web application and a Chrome extension that enable users to save browser data and share relevant information with compatible AI tools seamlessly. Developers have the capability to connect their custom agents through MCP, which offers a REST API, command-line interface, and SDKs for programming in Python and TypeScript. This system is designed with specific memories and access controls, which are customized for personal, project, and client-related use, thus allowing users to manage permissions with precision. Furthermore, the hosted platform takes charge of storing and processing the original content, which significantly aids in both memory construction and retrieval. Overall, with its comprehensive features, Membase significantly improves the organization and efficiency of information management for tasks that rely on AI. This innovative approach ultimately assists users in maintaining a more structured and accessible knowledge base.

Media

Media

Integrations Supported

Claude Code
Cursor
Model Context Protocol (MCP)
AutoGen
CrewAI
LangChain
LangGraph

Integrations Supported

Claude Code
Cursor
Model Context Protocol (MCP)
ChatGPT
Claude
Codex CLI
DeepSeek
Gemini
Grok
Kimi

API Availability

Has API

API Availability

Has API

Pricing Information

$29/month
The Free plan is $0/month and includes 1,000 operations per month, one seat, one API key, no top-ups, and email support. Starter is $29/month for 25,000 operations, three seats, and 10 API keys; auto top-up packs and business-hours support are included.
Free Version

Pricing Information

$0
Free during beta.
Free Version

Supported Platforms

SaaS
Mac
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

SenseLab

Date Founded

2026

Company Location

United States

Company Website

www.sense-lab.ai/

Company Facts

Organization Name

Unibase

Company Location

Singapore

Company Website

membase.ai

Categories and Features

AI Memory Layers

Not specified

Categories and Features

AI Memory Layers

Not specified

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