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.

Pricing

Price Starts At:
$29/month
Price Overview:
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:
Free Version available.

Integrations

Offers API?:
Yes, SenseLab provides an API

Screenshots and Video

Interface-style panel titled “HANDOFF — SUB-100MS” showing one agent writing a race-condition finding to shared memory and another agent reading the result 51 milliseconds later.

Interface-style panel titled “HANDOFF — SUB-100MS” showing one agent writing a race-condition finding to shared memory and another agent reading the result 51 milliseconds later.

Company Facts

Company Name:
SenseLab
Date Founded:
2026
Company Location:
United States
Company Website:
www.sense-lab.ai/

Product Details

Deployment
SaaS
Mac
On-Prem
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

SenseLab Categories and Features