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Showing 22 open source projects for "act"
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Stagehand
An AI web browsing framework focused on simplicity and extensibility
...Each Stagehand function takes in an atomic instruction, such as act("click the login button") or extract("find the red shoes"), generates the appropriate Playwright code to accomplish that instruction, and executes it. -
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OpenClaw Windows Hub
Windows companion suite for OpenClaw
OpenClaw Windows Node is a Windows companion suite for OpenClaw, the AI-powered personal assistant platform. It allows a Windows PC to act as a controllable node that can be used by the OpenClaw agent. When Node Mode is enabled, the agent can interact with the Windows machine in a way similar to the OpenClaw Mac app. The project focuses on bringing local desktop control, automation, and assistant functionality to Windows users. It is intended for people who want their AI assistant to operate across devices rather than only through chat. ... -
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Ponytail
Makes your AI agent think like the laziest senior dev in the room
...It includes commands for changing intensity, reviewing diffs, auditing repositories, and tracking deferred shortcuts. It is useful for developers who want AI coding tools to act more like pragmatic senior engineers and less like generators of unnecessary abstractions. -
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Clawith
OpenClaw for Teams
...It may also include monitoring and control features to ensure that agent behavior remains aligned with user goals. The project reflects a broader trend toward building AI systems that act as autonomous operators rather than passive assistants. Overall, Clawith serves as a foundation for building advanced, action-oriented AI workflows. -
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OpenManus
Open-source AI agent framework
OpenManus is an open-source AI agent framework designed to autonomously execute complex, multi-step tasks by combining reasoning, planning, and tool use. It enables developers to build agents that can think, act, and iterate toward goals rather than simply responding to prompts. The platform emphasizes task decomposition, allowing agents to break down objectives into smaller steps and execute them sequentially or recursively. OpenManus supports integration with external tools, APIs, and environments, making it suitable for real-world automation workflows. ... -
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Dev-template
A template for development with the open-autonomy framework
Dev Template is a starting point for developing autonomous agents using the Autonolas framework by Valory. It provides a modular and extensible codebase to accelerate the development of agents that act autonomously in decentralized networks. This template includes tooling for building, testing, and deploying agents in real-world decentralized applications (dApps). -
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Agent Auth Protocol
Standard and implementation for AI agent authentication
...Built alongside the broader Better Auth framework, it integrates with a comprehensive authentication system that supports features like OAuth, multi-factor authentication, and session management. The protocol focuses on enabling secure interactions in environments where automated agents act on behalf of users or systems, requiring robust identity verification and permission handling. It aligns with modern authentication standards and is intended to work seamlessly with APIs, distributed systems, and AI-driven workflows. -
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davidondrej-skills
Access to david ondrej's personal agent skills
...Its categories cover agent orchestration, skill authoring, research and web work, operations and setup, and thinking or documentation workflows. The skills are meant to act as practical building blocks for code improvement, content preparation, idea research, presentation review, transcript work, and agent coordination. It is useful for people building a personal or team agent stack that needs consistent reusable procedures. -
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The Fable Method
How Claude Fable 5 worked, distilled into skills
The Fable Method is a structured workflow for improving how AI agents reason, act, verify, and report. It converts observed problem-solving habits into explicit steps that different language models can follow. The core process classifies the request, defines completion criteria, gathers primary evidence, chooses one recommendation, makes the smallest correct change, and verifies the result. Four included skills cover planning, execution, judging completed work, and generating domain-specific adapters. ... -
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PawWork
Selection-first web agent for Chrome
PawWork ZhuaZhua is a Chrome extension that turns an already logged-in browser session into a workspace for an AI web agent. The agent runs from a side panel and can act on the current tab instead of requiring a separate automated browser profile. Users can select content on a live page, describe the desired outcome, and keep generated artifacts inside the session. The extension can execute browser-side actions and guest JavaScript through its sandboxed runtime. It supports editable artifacts such as spreadsheets, document-style content, and generated site HTML. ... -
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Claude Octopus
Put up to 8 AI models on every coding task
...The plugin supports multiple providers and model types, enabling flexible combinations of local and cloud-based models. It emphasizes collaborative intelligence, where models effectively act as reviewers of each other’s work. Overall, Claude Octopus enhances reliability and decision-making by introducing redundancy and diversity into AI-assisted coding. -
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ClawPort
Open-source AI agent command center for Claude Code agent teams
ClawPort is an open-source web-based dashboard designed to act as a centralized command center for managing and interacting with OpenClaw AI agent systems. It provides a visual interface that replaces fragmented terminal-based workflows, allowing users to monitor, control, and communicate with multiple agents from a single location. The platform is built to improve visibility into multi-agent environments, offering insights into agent activity, task execution, and system performance in real time. ... -
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Inkeep
Create AI Agents in a No-Code Visual Builder or TypeScript SDK
...It lets developers and non-technical users create, manage, and orchestrate multi-agent systems using both a no-code visual builder and a full TypeScript SDK, giving two ways to define agent behaviors that stay in sync with each other. Agents built with this framework can act as real-time conversational assistants — for example, handling help desk inquiries, providing internal support to teams, or driving in-app experiences — and they can be extended to automate multi-step tasks that interact with external systems like CRMs, knowledge bases, or ticketing systems. The project includes support for designing rich workflows where agents communicate with each other (agent-to-agent communication) and maintain state. -
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InsForge
InsForge is the backend built for AI-assisted development
InsForge is an open-source backend development platform designed specifically for AI-assisted or agent-driven application development, positioning itself as an agent-native alternative to tools like Supabase by exposing backend primitives (auth, database, storage, serverless functions, and AI integrations) in a way that intelligent agents can understand, reason about, and act upon directly. Rather than forcing developers to manually cobble together authentication flows, database schemas, storage buckets, and cloud functions, InsForge provides a semantic layer and toolchain that let agents configured with Model Context Protocol (MCP) understand the backend state, available operations, and how to manipulate these resources end to end. ... -
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Nerve
The Simple Agent Development Kit
Nerve is a developer-friendly Agent Development Kit (ADK) that utilizes YAML and a CLI to define, run, orchestrate, and evaluate LLM-driven agents. It supports declarative setups, tool integration, workflow pipelines, and both MCP client and server roles. Nerve is a simple yet powerful Agent Development Kit (ADK) to build, run, evaluate, and orchestrate LLM-based agents using just YAML and a CLI. It’s designed for technical users who want programmable, auditable, and reproducible automation... -
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Joanium Classic
Your smart, reliable, and friendly personal AI assistant.
...Agents are phase three. Introducing Joanium — an open-source AI agent built for real execution. While others are still optimizing conversations, Joanium is built to plan, act, and deliver outcomes. Claude. OpenClaw. Hermes. They defined what came before. This is what comes next. Designed for a new standard: • Agent-first architecture (not chat-first) • Open source by default (no black boxes) • Local-first control (your data stays yours) • Built for workflows, not prompts The shift is already happening. ... -
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SalesGPT
Context-aware AI Sales Agent to automate sales outreach
This repo is an implementation of a context-aware AI Agent for Sales using LLMs and can work across voice, email and texting (SMS, WhatsApp, WeChat, Weibo, Telegram, etc.). SalesGPT is context-aware, which means it can understand what stage of a sales conversation it is in and act accordingly. Moreover, SalesGPT has access to tools, such as your own pre-defined product knowledge base, significantly reducing hallucinations. -
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ChatArena
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments
ChatArena is a library that provides multi-agent language game environments and facilitates research about autonomous LLM agents and their social interactions. -
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Jason is a fully-fledged interpreter for an extended version of AgentSpeak, a BDI agent-oriented logic programming language, and is implemented in Java. Using JADE a multi-agent system can be distributed over a network effortlessly. This project was moved to https://jason-lang.github.io
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AEA Framework
A framework for autonomous economic agent (AEA) development
agents-aea by Fetch.ai is a framework for building autonomous economic agents (AEAs) that can act independently, communicate, and transact on decentralized networks. It focuses on enabling AI-driven agents to participate in digital marketplaces and ecosystems. -
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ACT-CV provides an easy to use interface between visual objects on the computer screen (or another video source) and a cognitive modeling tool.
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Cognitive agent based social simulation toolkit (RBOT+MRS) / production system based on ACT-R (http://act-r.psy.cmu.edu) allows for modelling single actor cognitive experiments (RBOT) and multiple actors in a simulated (semiotic) world (RBOT + MRS).
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