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Wildcard AI provides an open-source specification called *agents.json* that builds on OpenAPI to let agents consume APIs more reliably. It enables defining API contracts, flows (chains of calls), links between actions, and metadata so autonomous agents can discover and invoke workflows automatically. It includes Wildcard Bridge SDK, a registry of agents.json files, and motivations around statelessness, better tool-selection, and easier LLM-API integration. :contentReference[oaicite:0]{index=0}

Wildcard AI / agents.json

wildcard-ai-agents-json

Open-source spec & platform letting AI agents discover and invoke API workflows via agents.json rather than fixed prompts.

Google's Agent2Agent (A2A) protocol is an open standard designed to facilitate seamless communication and collaboration between AI agents developed by different organizations using various frameworks. A2A provides a standardized method for agents to discover each other's capabilities, negotiate interaction modalities, and securely collaborate on tasks without exposing internal states or proprietary tools. Built on existing technologies like HTTP, JSON-RPC 2.0, and Server-Sent Events (SSE), A2A supports both synchronous and asynchronous interactions, enabling agents to handle complex, long-running tasks efficiently. The protocol emphasizes security, interoperability, and scalability, making it suitable for enterprise-grade applications.

Google A2A

google-a2a

An open protocol enabling AI agents to communicate and collaborate across diverse systems securely.

Letta AI is an open-source platform designed to enable developers to create, deploy, and manage AI agents endowed with persistent memory and advanced reasoning capabilities. Originating from the Sky Computing Lab at UC Berkeley, Letta provides a comprehensive framework that includes the Agent Development Environment (ADE) for visualizing and iterating on agent designs, as well as robust APIs and SDKs for seamless integration. By incorporating memory management techniques from MemGPT, Letta ensures that agents can maintain context over extended interactions, facilitating more coherent and contextually aware AI applications.

Letta AI

letta-ai

An open-source platform for building stateful AI agents with long-term memory and advanced reasoning.

Trigger.dev is an open-source platform designed to facilitate the creation and management of background jobs within applications. It allows developers to write workflows using standard asynchronous code, handling tasks such as scheduling, concurrency control, and real-time monitoring. With features like no timeouts, automatic retries, and seamless integration with existing Node.js SDKs, Trigger.dev is particularly suited for AI tasks that require extended execution times. The platform also offers real-time streaming support, making it ideal for applications involving large language models and other AI-driven processes.

Trigger.dev

trigger-dev

Open-source platform for background jobs, enabling reliable task automation and AI workflows.

/dev/agents is a startup founded by former Android leaders, including David Singleton and Hugo Barra, aiming to create a cloud-based operating system tailored for AI agents. This platform is designed to simplify the development and deployment of AI-powered digital assistants capable of performing tasks and making decisions with minimal human intervention. By providing innovative user interface patterns, reimagined privacy models, and a user-friendly developer platform, /dev/agents seeks to facilitate the creation of trusted AI agents that can seamlessly operate across multiple devices.

/dev/agents

dev-agents

A next-gen operating system enabling developers to build AI agents with ease and efficiency.

The Bee Agent Framework is an open-source toolkit developed by IBM for constructing, deploying, and managing powerful agentic workflows at scale. It simplifies the development of distributed agent-based systems by providing built-in messaging, task coordination, and integration with common networking protocols. The framework is designed to perform robustly with models like IBM Granite and Llama 3.x, and it supports features such as sandboxed code execution, memory optimization, and traceability. Its modular architecture allows for custom agent behavior, making it scalable for large, distributed networks. The Bee Agent Framework is part of a broader ecosystem that includes tools like Bee UI for visual interaction with agents and Bee Observe for telemetry collection and management.

Bee Agent Framework

bee-agent-framework

An open-source framework for building, deploying, and serving scalable agent-based workflows with various AI models.

AgentKit is an open-source starter kit developed by BCG X, the tech build and design unit of Boston Consulting Group. It leverages LangChain, FastAPI, and Next.js to enable developers to quickly build and experiment with agent applications. AgentKit offers a modular and easily configurable tech stack, including a React/Next.js chat-based UI designed for agents, featuring streaming, rendering of tables, visualizations, code, and status tracking of agent actions. The toolkit emphasizes reliability through an easy-to-configure routing architecture, allowing control over possible paths an agent can take, making it suitable for real-life use cases. Additionally, AgentKit is set up to scale to MVP with ready-made queue management, authentication, caching, and monitoring.

AgentKit

agentkit

A LangChain-based starter kit developed by BCG X for rapidly building high-quality agent applications with a flexible UI and reliable architecture.

The Internet of Agents (IoA) is an open-source framework that emulates the Internet's architecture to enable seamless collaboration among diverse AI agents operating in various environments. By introducing an agent integration protocol and an instant-messaging-like architecture, IoA allows agents to form autonomous nested teams, manage asynchronous tasks, and adapt conversation flows dynamically. This design enhances the scalability and flexibility of multi-agent systems, promoting efficient problem-solving through collaborative intelligence.

Internet of Agents

internet-of-agents

An open-source framework inspired by the Internet, designed to facilitate collaboration among heterogeneous AI agents across diverse environments.

Inferable is an open-source platform designed to assist developers in building production-ready AI automations across various programming languages, including Node.js, Golang, and .NET. It offers a managed agent runtime inspired by the ReAct framework, enabling complex problem-solving through step-by-step reasoning and function execution. Inferable emphasizes reliability, scalability, and security by integrating distributed function orchestration, fault tolerance, and human oversight into AI workflows. By allowing developers to utilize their existing codebases, Inferable facilitates seamless integration without the need for extensive network configurations or new frameworks.

Inferable

inferable

An open-source platform that streamlines the development of reliable, scalable, and secure AI agents and automations for developers.

MetaGPT is an open-source framework that simulates a collaborative multi-agent system to tackle complex tasks. By assigning different roles to multiple AI agents, such as product manager, architect, and engineer, MetaGPT enables the decomposition of intricate problems into manageable components. This approach facilitates efficient project management and execution, making it suitable for developing complex applications and systems.

MetaGPT

metagpt

An AI agent framework that simulates a collaborative multi-agent system for complex tasks.