Open Agent Spec (Agent Spec) is a framework-agnostic declarative language for defining agentic systems. It defines building blocks for standalone agents and structured agentic workflows as well as common ways of composing them into multi-agent systems.

Declarative YAML-based AgentOps framework for building composable AI agents

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Contract-driven architecture for building LangGraph agents with declarative node definitions, automatic graph construction, and hybrid rule/LLM-based routing.

Claude Code skill for building ADK agents with Google A2UI declarative UI format

A Python library for building declarative, flow-based conversational AI agents with LiveKit.

Agentify is a lightweight, declarative-first AI agent building toolkit for Python.

Building Declarative Agents with the Microsoft 365 Agents Toolkit — an 8-session video series

Framework for building, optimizing, and deploying AI agents as Effect services. Define an agent as a declarative blueprint. Run it against benchmarks.

The repository for the lab titled "Building advanced declarative agents with Microsoft 365 Agent Toolkit" at MCAPS Tech Connect 2026

AgentBuilder DSL is a domain-specific language that simplifies building intelligent agents using Google Gemini. It allows developers to define agent structure, tools, memory, and behavior declaratively, while automatically generating Python code that manages API calls, memory handling, and function execution.

LiveKit voice app validation skill. Use when building, debugging, or declaring working any LiveKit voice agent, Agents UI app, or React/Next.js LiveKit project. Enforces evidence-based validation before reporting a session, token endpoint, worker, transcript, or end-to-end voice interaction as complete.

TAUI (Terminal Agent UI) is a declarative, stateless, and secure standard for building interactive terminal interfaces designed specifically for autonomous agents. By Tariq Shams

A declarative framework for building interactive worlds for AI agents. Aethaum enables you to define complex game worlds and AI interaction environments through simple TOML configurations, without writing intricate Rust code.

vibebuild is a structured harness for building production-grade software with Ai coding agents across multiple sessions. It solves the core problem Anthropic identifies in their engineering research: agents working across context windows have no memory, tend to one-shot complex tasks and declare victory prematurely.

Building Declarative Agent in Copilot

Agent Definition Format (ADF) - Declarative framework for building MCP agents

A declarative Python framework for building external harnesses around opaque coding agents

Declarative JSON format specification for building AI agent workflows with LangGraph.js

Stride3D F# agent skill - code-only game engine workflow with declarative scene building, Bepu physics, and 73 tests

Botkit is minimal, declarative framework & UIKit that you or your AI agent need for building reliable A+ Telegram bots in Rust.

An open-source Python framework for building and orchestrating sophisticated multi-agent systems. Define hierarchical teams of specialized AI agents declaratively with YAML, and solve complex problems through structured, collaborative intelligence.

This project demonstrates a modern, declarative approach to data engineering by building an end-to-end data pipeline within the Ascend.io platform, fully integrated with a Snowflake data cloud. The system leverages AI agents to automate the orchestration, scaling, and monitoring of data flows.

A complete set of orthogonal event handler and orchestration primitives for Arvo based applications, featuring declarative state machines (XState), imperative resumables for agentic workflows, contract-based routing, OpenTelemetry observability, and in-memory event broker for building composable event-driven architectures.