Tess
Platform for creating and managing AI agents.
Tess is a platform for creating, managing, and executing AI agents, referred to as Human AIs, that carry out goal-oriented tasks using large language models and connected tools. It addresses the need to run AI across an organization with governance, visibility, and control, structuring agents into an org chart with hierarchy, squads, and managers rather than a simple chat interface.
Key capabilities include Cowork Mission Control for scheduling and monitoring work, Living Memory knowledge graphs, native connectors, MCP plugins, an API-first architecture, webhooks, and OpenAI-compatible APIs. Governance features cover live policies, model and connector restrictions, context and budget controls, approval gates, permissions, and SIEM audit events. Agents can be delegated to in plain language, run on schedules, and work across 250+ AI models.
Tess is aimed at teams and organizations deploying AI at scale, from individuals to enterprises. Pricing is per workspace with unlimited users rather than per seat, across Professional, Business, and Enterprise editions. Usage is credit-based, with monthly allowances, daily bonus credits, and optional credit packs. A 7-day satisfaction guarantee applies to the first paid subscription, and Enterprise includes custom credit volume, onboarding, SSO, and compliance options.
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