What is Tessl?

Agents are powerful, but they often drift, misusing APIs, skipping required steps, or falling back on outdated patterns.

Agent-optimized documentation and rules give them the structured, testable context they need to stay consistent, safe, and aligned with your standards. Tessl is an agent-enablement platform that gives coding agents this reusable context, so they behave predictably across every repo, workflow, and environment.

Context for the Open-Source ecosystem

Tessl hosts more than 10,000 tiles containing documentation for widely used open-source libraries and frameworks. Each tile captures how an agent should interact with that technology, covering imports, examples, conventions, and common pitfalls.

Developers can use these tiles directly, while open-source maintainers and vendors can publish official tiles so customer agents use their APIs correctly by default. It’s like npm or pypi for agent context, a shared layer of structured knowledge that helps agents code safely with the world’s software.

Private workspaces: context for your own codebase

Teams can also create private tiles that describe how their internal systems should be used.

Private tiles can define:

• Internal APIs and platform services

• Security and compliance rules

• Naming, data-handling, and architecture conventions

They give every AI agent in your organization a reliable understanding of your environment, keeping them on-pattern and on-policy. Private tiles turn your internal knowledge into a reusable context layer for agents.

Reliable agents depend on reliable context

As agents become permanent contributors to the codebase, teams need a way to operate, manage, and improve them, just like any other part of the engineering system.

The Tessl Registry makes that context discoverable, standardized, and reusable, giving developers and organizations a way to:

• Start with trusted open-source tiles

• Extend them to fit internal codebases

• Enforce them automatically across agents

You write the context once. Tessl handles distributing it across every agent, every repo, and every tool, so you never have to maintain parallel versions or manually keep guidance in sync.

Together, these tiles form the connective tissue of a spec-centric ecosystem, where AI and humans build on a shared, reliable language of intent.

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