Repository History
6 repositories tagged with agent-framework
AgentsKit: The Complete JavaScript Toolkit for Building AI Agents
AgentsKit is a comprehensive JavaScript toolkit designed for building AI agents, offering a lightweight core and a modular ecosystem. It provides essential components like UIs, autonomous runtime, tools, memory, and RAG, enabling developers to create sophisticated agents from simple chat interfaces to complex autonomous systems. This framework aims to simplify agent development by offering composable parts and avoiding the need to glue multiple incompatible libraries together.
AFT: A Sensorimotor Cortex for Coding Agents with IDE and OS Capabilities
AFT provides coding agents with advanced IDE and OS capabilities, acting as a sensorimotor cortex for perception and action within a codebase. It enhances agent productivity and reduces token usage by offering structured code perception, precise symbol-aware edits, and background task management. Part of the CortexKit family, AFT integrates with platforms like OpenCode and Pi to elevate agent interaction with code.
Agent Governance Toolkit: Policy Enforcement for Autonomous AI Agents
The Microsoft Agent Governance Toolkit (AGT) provides robust policy enforcement, zero-trust identity, and execution sandboxing for autonomous AI agents. It addresses critical security and compliance challenges, ensuring agents operate within defined boundaries and providing tamper-evident audit trails. AGT covers all 10 items of the OWASP Agentic Top 10, making it essential for shipping AI agents to production securely.
awesome-ai-agents: A Curated List of AI Agent Resources
awesome-ai-agents is a comprehensive, curated list of resources for building and understanding AI agents. It covers frameworks, tools, platforms, research papers, and more, making it an essential guide for anyone exploring the rapidly evolving field of autonomous AI systems.
nanobot: An Ultra-Lightweight, Self-Hosted Personal AI Agent Framework
nanobot is an ultra-lightweight, open-source, self-hosted personal AI agent framework built in Python. It offers a WebUI, tools, memory, multi-agent workflows, and automation capabilities, making it a versatile solution for personal AI tasks. Users can deploy it across various platforms, including chat apps, for seamless integration.
mcp-agent: Build Effective AI Agents with Model Context Protocol in Python
mcp-agent is a powerful Python framework designed to help developers build effective AI agents using the Model Context Protocol (MCP) and simple, composable workflow patterns. It fully implements MCP, providing robust support for agent lifecycle management and integrating patterns from Anthropic's 'Building Effective Agents'. This framework simplifies the creation of durable, production-ready agent applications.