Tessl is an agent enablement platform designed for software development teams and organizations adopting AI agents. It addresses the challenges of managing, governing, and optimizing agent skills at scale, transforming what can be a risky and fragmented skill environment into a controlled, measurable system. The platform is positioned as a management layer that provides security, visibility, and governance over the skills that AI agents use, ensuring that these components are tracked, standardized, and continuously improved.
Key features of Tessl include security scanning, policy gating, and audit logs for every skill, enabling teams to identify and address potential risks before they impact production environments. The platform offers a shared registry for skills, supporting version management and contribution governance to reduce duplication and outdated resources. Tessl emphasizes continuous optimization by providing three layers of visibility—published, project coverage, and real activation on developer machines—allowing teams to observe and enhance skill performance with evaluation-backed improvements. Evals, which are likened to unit tests for code, help teams assess skill quality and effectiveness before deployment.
Tessl caters to various roles within enterprise teams: security leaders seeking inventory and enforcement of security standards, platform teams managing large-scale developer rollouts, and engineering leadership aiming to measure the impact of AI skills on organizational outcomes. The platform integrates with existing AI agents such as Claude Code, Cursor, Copilot, and Gemini, allowing skills to be published to a searchable, versioned registry that can be scoped to an organization or made public. It supports setting installation policies, mandating organizational standards, scanning for security issues, and defining ownership and access controls across teams and projects.
The service is delivered as a management and control plane that sits between developers and the AI agents they use. Its focus on enterprise-grade security, governance, and continuous improvement positions it within the class of agent management platforms for AI-native teams.
Tessl is an AI security & guardrails project. It focuses on managing risky, duplicated, and unmeasured coding-agent skills across software teams. It is built as a B2B product for software development teams building AI-native applications. It ships for the web.
It is developed by Tessl, and it first shipped in 2024. Key capabilities include skill registry, version management, and security scanning.
Summary written by a language model from the project’s public pages.
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