Wato

Active

Shared memory, tools, and workflows for agents across teams

Spring 2026Founded 20262 peopleSan Francisco, CA, USA

www.watolabs.com/ ↗LinkedIn ↗X ↗See on the Idea Map B2B momentum

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AI insightcan contain mistakes

Agent Workflow PlatformSaaSEnterprises deploying teams of agentsHigh competition

Moat

Shared memory/artifact persistence enables workflow compounding; tool integration breadth; workflow reuse across teams.

Key risk

Competition from LangChain, LangGraph, agent platforms; commoditization risk; unclear killer use case.

Why now

Agent adoption enabling persistent workflows; need for knowledge compounding across agent runs.

Competitors

LangChain, LangGraph, Zapier, Make

About

Wato gives AI agents shared memory, reusable workflows, connected tools, and living artifacts so work compounds across a team instead of disappearing into chat threads. Teams use Wato to give every agent access to trusted company context and turn useful runs into knowledge the next agent can build on.

From their website

as of Jun 7, 2026www.watolabs.com ↗

SaaSSubscription

Wato provides a shared AI workspace for companies, offering memory, reusable workflows, connected tools, and living artifacts to keep agent work durable and accessible across teams. It aims to consolidate memory, tools, and workflows so AI agent work compounds within the organization rather than ending up in chat threads.

Wato offers a single MCP (memory, tools, workflows) platform where memory and skills are versioned and reusable across agents. It connects tools like Slack, GitHub, Linear, Salesforce, and more with org-level permissions and in-built tracing. It enables collaborative cloud agent sessions that teammates can view and continue, and supports spawning cloud agents via multiple entry points (Wato MCP, Slack, Teams, Linear). It provides live artifacts, dashboards, and traces to keep prompts, files, decisions, and outputs durable and auditable across the company. Automations and workflows can be triggered by connectors or schedules, using approved tools and memory, and access is controlled by org/team/user/tool-level permissions.

Who it’s for: companies/organizations using AI agents across engineering, sales, ops, finance, and research teams who need durable memory, shared workflows, and centralized tool integrations

Features

versioned team memory and skills reuse
approved tool integrations with permissions and tracing
collaborative cloud agent sessions
spawn cloud agents via multiple channels
live artifacts, dashboards, and secure docs
tracing/audit logs for agent activity
automation and workflow triggers

mentions of multiple integrations, MCP concept, collaboration features, and deployment/readiness hints (request access, on-premises FAQ) indicating active development and potential customer traction

Founders · 2

Rahul RejeevFounder

Stanford

Founder at Wato (YC P26). Building the orchestration layer for AI in institutions. Studied CS at Stanford.

LinkedIn ↗X ↗

Arihan VaranasiFounder

Stanford

Founder at Wato (YC P26). Prev CS at Stanford.

LinkedIn ↗X ↗

Launch · 1 launch

Wato: a shared AI workspace for teams · Jun 2026
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Permissioned tools, cloud agents, automations, and shared workflows for the AI apps your team already uses.
Wato is a shared AI workspace that centralizes company workflows, knowledge, integrations, and agent sessions across teams. It provides permissioned access to tools, shared memory, reusable skills, and collaborative cloud agent environments.
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