"Moca has open-sourced Agent Definition Language (ADL), a vendor-neutral specification intended to standardize how AI agents are defined, reviewed, and governed across frameworks and platforms. The project is released under the Apache 2.0 license and is positioned as a missing "definition layer" for AI agents, comparable to the role OpenAPI plays for APIs. ADL provides a declarative format for defining AI agents, including their identity, role, language model setup, tools, permissions, RAG data access, dependencies, and governance metadata like ownership and version history."
"The release addresses a growing fragmentation problem in agent development. Today, agent behavior is often spread across prompts, code, framework-specific configuration files, and undocumented assumptions. This makes it difficult for teams to answer basic questions about an agent's capabilities, boundaries, and approval status, and complicates security reviews, compliance, and reuse. ADL consolidates agent definitions into a structured, machine-readable format to enhance inspectability and governance."
Agent Definition Language (ADL) is an open-source, vendor-neutral specification that standardizes declarative definitions of AI agents. ADL defines agent identity, role, language model configuration, tools, permissions, RAG data access, dependencies, and governance metadata such as ownership and version history. ADL focuses on definitions rather than execution and remains framework-agnostic to improve portability, auditability, and interoperability across vendors and platforms. ADL aims to reduce fragmentation by consolidating prompts, code, configuration files, and assumptions into a structured, machine-readable format to simplify security reviews, compliance, reuse, and inspection. ADL complements technologies like A2A, MCP, OpenAPI, and workflow engines.
Read at InfoQ
Unable to calculate read time
Collection
[
|
...
]