Standard Agents

Standard Agent Builder is a runtime for the Standard Agent Specification. It lets users create and run standard agents locally at no cost or deploy them to the cloud, with administrative views of agent threads, tool calls, model usage, and costs. The runtime is intended to support portable agents that can be distributed and composed with other agents.

Agent S is an open-source computer-use agent framework from Simular. It accepts natural-language tasks, observes a real desktop through screen and accessibility signals, and operates ordinary applications by clicking, typing, scrolling, and executing optional local code rather than relying on per-application APIs or scripts. The project has progressed through three generations: accessibility-tree grounding with an LLM, a vision-based manager-worker architecture using multiple foundation models, and Agent S3, which scales computer-use attempts through parallel rollouts and selection. Its workflow can combine model-driven exploration with reusable automation code, replay saved skills, and recover when the interface changes. The framework supports macOS, Windows, and Linux, works with models from OpenAI, Anthropic, Gemini, OpenRouter, vLLM, and open-weight providers, and is distributed through the `gui-agents` Python package. An optional local coding environment can execute Python and Bash with the current user's permissions, so the repository warns that this capability should be used only in trusted environments.

useAgent is an open-source AI coworker that gives Claude Code, Codex, OpenCode, and Pi a shared workspace with isolated Linux computers, repositories, terminals, browsers, and team tools. It can handle research, websites, spreadsheets, reports, presentations, and code changes, returning usable files, artifacts, or pull requests through a web app, Slack, REST API, or scheduled tasks. Each run is stored as an event log in Postgres and uses a common event contract across supported agent engines. Daytona or CubeSandbox provides the isolated workstation, while integrations cross a trusted gateway as typed tools so credentials remain on the control plane rather than entering the sandbox. The workspace also supports versioned skills and playbooks, team knowledge and memory, approval-gated tools, revisioned workpieces, and durable sessions. The repository describes useAgent as alpha software with changing APIs and schemas. It can be self-hosted on Linux using Bun and Postgres with pgvector, and is licensed under AGPL-3.0-only; a commercial license is available for proprietary embedding, distribution, OEM, or white-label use.

Agency Agents is a collection of specialized AI-agent instruction files and a native desktop app for macOS, Linux, and Windows. Its agents define domain-specific identities, workflows, rules, deliverables, code examples, and success metrics across engineering, design, marketing, sales, testing, security, finance, game development, GIS, healthcare, and other divisions. The repository provides scripts that convert and install the agents into tools including Claude Code, Cursor, GitHub Copilot, Gemini CLI, OpenCode, Aider, Windsurf, Qwen Code, Kimi Code, Codex, Osaurus, and others; the app browses the roster, installs selected agents, and keeps them updated. The repository is distributed under the MIT License.

Agent-Native is an open-source TypeScript framework for building agentic applications with purpose-built user interfaces. Developers define each capability once as an action; the same action is used as an agent tool and called by the UI, with shared validation, permissions, implementation, data, and application state. Agents work through this shared action layer rather than clicking through the interface. Actions can also be exposed through HTTP, MCP, A2A, and a CLI. The framework includes agent chat, authentication and permissions, reusable skills and memory, scheduled or event-driven automations, multi-agent teams, and PostgreSQL support with PGlite for local development. It is distributed under the MIT license.