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agency

AI coding

Agency is an AI development library written in the Go language, designed to let developers explore large language models (LLMs) and other generative AI in a clean, effective, and Go-idiomatic way. It is implemented in pure Go and is fast, lightweight, and statically typed, with no dependency on Python or JavaScript. The library supports clean architecture by separating business logic from concrete implementations, allowing developers to easily create custom operations by implementing simple interfaces, and to combine multiple operations into processes, observing each step through interceptors. It provides OpenAI API bindings that can be used with any OpenAI-compatible API, supporting text-to-text (completion), text-to-image, text-to-speech, and speech-to-text. Agency's core goal is to help users build autonomous agents, suitable for a variety of generative AI applications from chat interfaces to complex data analysis. Currently, no specific information such as fees or pricing is provided.

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agency-swarm

AI developer platforms

Agency Swarm is an open-source framework for building multi-agent applications, built on and extending the OpenAI Agents SDK, providing specialized capabilities for creating, orchestrating, and managing collaborative AI agent swarms. It continues the original vision of Arsenii Shatokhin (also known as VRSEN), thinking about automation in terms of real-world organizational structures, making it intuitive for both agents and users to understand. The framework provides customizable agent roles, full control over prompts and instructions, type-safe tools based on Pydantic, agent communication implemented through the send_message tool and constrained by explicit directed communication flows, flexible session state persistence, and multi-agent orchestration capabilities, and is designed for production-grade reliability. The v1.x version targets the OpenAI Agents SDK and the Responses API. Model backends support both native OpenAI (such as the GPT-5 series, GPT-4o, etc.) and, through LiteLLM routing, access to Anthropic Claude, Google Gemini, Grok (xAI), Azure OpenAI, OpenRouter, and more. It supports macOS, Linux, and Windows. The project is open source and uses the MIT license.

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agent

AI coding

Stakpak Agent is an open-source DevOps agent that can reside on your machine 24/7, automatically keep applications running, and notify only when human intervention is needed. It provides a PaaS-like experience without lock-in, supports generating infrastructure code, debugging Kubernetes, configuring CI/CD, automating deployments, and ensures security through secret substitution, Warden network-level protection, and built-in DevOps playbooks. It supports Autopilot autonomous runtime, MCP proxy, ACP editor integration, and can use your own Anthropic/OpenAI keys or local compatible endpoints.

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Agent Genesis

AI agents

Agent Genesis is an open-source AI component library for developers, providing copy-and-paste-ready AI agent code snippets to help developers integrate AI capabilities into their projects without writing everything from scratch. It offers a variety of AI templates, including RAG workflows and question-answering bots. The code is reusable, well-documented, and easy to maintain, is released under the MIT License, and has established an official partnership with IBM Watsonx.

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agent-coworker

AI agents

CoWorker Protocol (agent-coworker) is a P2P agent collaboration protocol based on XMTP, with the core idea of "Skill-as-API": skills run on their owner's own machine, and others can only call them remotely and obtain results; the code, prompts, and methodology themselves are never transmitted. It supports end-to-end encryption, revocable trust, and asynchronous delegation, and has zero dependencies. The project was developed by Ziwei Zhao, Dantong Liu, and Xizhi Ding, with Wenxuan Wang (Renmin University of China) as advisor, is licensed under MIT, and provides GitHub, PyPI, and official website entry points.

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agent-express

AI developer platforms

agent-express is a fast, minimal AI agent framework written in TypeScript, adopting an Express.js-like middleware pattern. It uses only three core concepts—Agent, Session, and Middleware—replacing the numerous concepts in other frameworks with a unified (ctx, next) interface. The framework provides 5 layers of onion-style middleware hooks (agent, session, turn, model, tool), and has built-in guard capabilities such as budget caps, input/output validation, timeouts, iteration limits, and human approval, and supports more than 12 model providers, complexity-based model routing, context window compaction, MCP integration, and SSE streaming output.

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agent-fm

AI coding

Self-attributed author summary: The retained developer-tool list and a self-promotional post index linked to the original agentfm-ai/agent-fm repository describe a Mac application that turns coding-agent sessions or work status into spoken,radio-like narration. Only that purpose for listening to development-progress information is summarized. The poster’s developer identity is self-attributed and not independently verified. Free access,open-source licensing,offline operation,remote-machine support,models and privacy behavior were not verified. The post is an index;source full text not verified. The complete curator list was captured on2026-10-12 and checked on2026-10-18. The original agent-fm name and URL remain;no app was installed,session read,remote machine connected or sound played.

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