Agent Frameworks

Run a cost-efficient AI coding agent in your terminal, specifically engineered for DeepSeek's prefix-caching to minimize API costs.

Build and deploy persistent, stateful AI agents on the Cloudflare network, with built-in support for state management, scheduling, workflows, and real-time communication.

Generate reusable skills for over 14 AI coding assistants from unstructured text, documents, and code.

Generates command-line interfaces for any software, making them controllable by AI agents without relying on fragile UI automation or limited APIs.

Adds layered long-term and symbolic short-term memory to AI agents to reduce token usage and improve task success.

Create a self-hosted, personal AI assistant that operates on your goals, notes, and workflows to help you achieve your ideal state.

Runs a personal AI agent on your desktop that automatically builds a private knowledge base from your connected apps like Gmail, Slack, and Notion.

Build and deploy multi-agent AI systems to automate research, code generation, and complex workflows with a Python and YAML framework.

Build, deploy, and manage autonomous AI agents with a low-code interface and a self-hosted server.

Run autonomous agents on schedules to perform continuous tasks like research, lead generation, and social media management.

Learn to build AI-native agents from first principles with a comprehensive, open-source tutorial covering theory, frameworks, and hands-on projects.

Organize game development in Claude Code using a pre-configured team of 49 specialized AI agents and 72 workflow commands.

Install a collection of open-source skills and prompts to enhance AI agents for tasks like research report generation, stylized writing, and code maintenance.

Provide an agent-friendly backend platform that allows AI to directly configure databases, authentication, storage, and serverless functions.

Run a stealth, fingerprint-spoofing browser as a REST API to help AI agents and automation scripts bypass bot detection and reliably scrape the web.

Equip command-line AI agents with pre-configured tools to scrape websites, extract video transcripts, and read content from social platforms like Twitter and Reddit.

Simulates financial trading decisions using a team of specialized, collaborative LLM agents.

Builds autonomous financial research agents that answer questions and perform analysis using the OpenBB Platform and LLMs.

Build and deploy autonomous AI agents to trade on the Polymarket prediction market using an open-source Python framework.

Builds and deploys automated trading bots for centralized and decentralized cryptocurrency exchanges.

Provides a collection of open-source, plug-and-play modules for building AI agents that interact with blockchain protocols and decentralized applications.

Orchestrate AI agents to manage spec-driven software development, from planning and research to code execution and verification, directly from your command line.

Adds persistent, searchable long-term memory to AI coding assistants like Claude Code to maintain project context across multiple sessions.

Automates machine learning development by researching, writing, and shipping code using the Hugging Face ecosystem via a command-line interface.

Curate skills, tools, integrations, and documentation for developers using the Hermes Agent framework.

Orchestrate, monitor, and secure AI agent fleets with a self-hosted dashboard.

Manage AI agents with a unified workspace for chat, files, memory, skills, and a terminal.

Automates computer tasks by allowing LLMs to control browsers, terminals, and file systems, dynamically learning and evolving skills over time.

Generates playable web games end-to-end from text prompts using an open-source agentic framework with specialized LLMs and automated debugging.

Equips AI agents with a comprehensive library of marketing skills, enabling them to perform conversion optimization, copywriting, SEO, and analytics tasks.

Manages AI agent context by sandboxing tool outputs and persistently tracking session state across multiple LLM development environments to prevent context window bloat.

Run a persistent, self-improving AI agent locally, accessible via Telegram, with support for any LLM provider.

Integrates 211 specialized AI expert roles into 16 programming tools, including 46 localized for China, and orchestrates multi-agent workflows for complex tasks.

Firecrawl Web Agent is an open-source framework and set of SDKs for building autonomous web research agents. It leverages Deep Agents (LangChain) for planning, acting, and observing, integrating web tools for scraping and interaction.

Hindsight is an open-source agent memory system designed to enable AI agents to learn and retain information over time, offering state-of-the-art performance in long-term memory tasks beyond simple conversation recall.