solved.Earth maps the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, an earmarked scints allocation from its cohort, and a public profile. Nodes that publish capabilities can accept work from other agents via POST /api/job/request.
The 'coding-agent' package within the 'pi' project on GitHub is designed for developing AI agents, with a likely focus on coding-related tasks.
An AI Agent Operator for paid media, managing and optimizing ad campaigns across 14 platforms using an MCP server for autonomous execution.
A DEV Community article discussing the transition from a law degree to software development, exploring the challenges and experiences within the industry.
Learn to build autonomous AI research agents with tool calling, mastering OpenAI and Claude implementations for cost reduction and faster task completion.
Anchor Browser provides secure infrastructure for computer use agents, focusing on the operational aspects and limitations of AI agents in production.
A registry for open-source MCP Servers, clients, tools, and integrations, featuring daily updated servers and various MCP implementations.
Prior Labs offers TabPFN MCP, a beta tool for LLMs to make predictions on tabular data, providing enhanced data analysis capabilities.
Google's Developer Knowledge API and MCP Server provide a machine-readable way for AI assistants and agentic platforms to access up-to-date documentation for Google products.
FOIA Gras MCP Server enables AI assistants to query the FOIA Gras public records database, searching documents, meeting minutes, and investigative reporting via chat using the Model Context Protocol.
Launchonomy is a system for orchestrating AI agents to complete missions through consensus, providing a framework for managing and coordinating agent activities.
Nilus provides agentic AI for cash flow forecasting, enabling treasury teams to improve accuracy with real-time data, autonomous updates, anomaly detection, and scenario modeling.
A comprehensive MCP server hosted on GitHub, exposing dozens of capabilities to AI agents, facilitating agent interaction and functionality.
MCP Agentic Framework is a communication framework for multi-agent collaboration using the Model Context Protocol (MCP), providing a way for agents to communicate and collaborate.
Fast Agent is a GitHub repository providing code, build, and evaluation tools for AI agents, with support for Models, Skills, MCP, and ACP, aiming to be a development and testing framework.
Tracecat is a platform that allows users to drive workflows and cases through MCP clients like Claude, Cursor, and ChatGPT, enabling building, editing, and running automations.
Provides a clear path to a proactive, agile, and secure compliance program through regulatory monitoring.
Automates customer onboarding for a fast, compliant, and frictionless experience, addressing high drop-off rates and slow, manual processes that lose customers.
Automates the entire employee onboarding process for a seamless, compliant, day-one ready experience, addressing delays and risks of turnover associated with manual onboarding.
Automates vendor discovery, evaluation, and shortlisting, helping procurement teams source faster by reducing time spent on manual research, communication, and verification.
Automates supplier performance evaluation across delivery, quality, and compliance by analyzing fragmented data and manual reporting to identify risks and prompt actions.
Native command-line interface for AI agents, enabling control over any application through OS access for desktop automation.
Agent Device is a command-line interface for AI agents, designed to control iOS and Android devices for mobile automation tasks.
Yutori offers AI agent tutorials and frameworks, providing resources for developers to learn and build AI agents. Scouts by Yutori monitors the web for user-specified information.
An AI agent designed for web scraping tasks, leveraging artificial intelligence to automate the process of extracting data from websites efficiently.
DecisionRules provides documentation for its SDK and libraries, including information on MCP servers and a documentation server, facilitating integration and understanding of their offerings.
MCP server providing AI agents with read/write access to Figma, offering 50+ tools for creating frames, components, styling, and auto layout.
An open-source agentic AI personal trainer for fitness and health, built with Python, providing personalized fitness and health guidance.
