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.
Multi-agent framework by Microsoft for developing LLM applications with conversational agents that collaborate to solve tasks.
Experimental open-source attempt to make GPT-4 fully autonomous with chained LLM thoughts for goal achievement.
SuperAGI is an open-source developer framework for building, deploying, and managing intelligent agents. It facilitates the creation and operation of autonomous AI agents.
LlamaParse, by LlamaIndex, is an advanced agentic OCR solution for processing complex documents, including messy tables, charts, and images, with high accuracy.
An AI Agent Operator for paid media, managing and optimizing ad campaigns across 14 platforms using an MCP server for autonomous execution.
Eonis AI Labs builds custom AI agents for business automation and workflow optimization, with over 500 use cases. They offer free consultations for enterprise AI solutions.
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.
Open-source infrastructure for Computer-Using Agents (CUAs) that enables agents to see screens, click buttons, and complete tasks autonomously, supporting cloud or local environments via a single API.
Anchor Browser provides secure infrastructure for computer use agents, focusing on the operational aspects and limitations of AI agents in production.
Production-grade AI agent library for operators and engineers, offering 66 specialized agents organized by division and vertical for natural language activation.
A registry for open-source MCP Servers, clients, tools, and integrations, featuring daily updated servers and various MCP implementations.
AI SDK Agents is a full-stack platform offering 100+ production-ready AI agent patterns, workflows, tools, and chat UI components, built with TypeScript and React on the Vercel AI SDK.
An AI agent skill for MockFlow IdeaBoard focused on Pain Point Discovery, using market research and customer empathy analysis to identify primary customer struggles.
Gumloop is a no-code platform enabling users to build, host, and deploy AI-powered business automations without requiring extensive coding knowledge.
Prior Labs offers TabPFN MCP, a beta tool for LLMs to make predictions on tabular data, providing enhanced data analysis capabilities.
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.
Composio provides a framework for integrating tools and services, enabling autonomous agents to perform automated workflows. It offers tools, authentication, and sandboxes for agents like Claude and Codex.
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.
Agent S, presented at ICLR 2025, is an open agentic framework designed for complex task execution and interaction with computational environments, using computers like a human.
A React SDK for embedding workflow editors, allowing delegation of workflow steps to AI models or agents with tool access.
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.
Automates the entire claims processing lifecycle for faster, more accurate, and cost-effective resolutions, addressing manual process inefficiencies.
Automates data intake and analysis for policy underwriting, accelerating decisions and improving risk accuracy by addressing manual process inefficiencies.
Provides continuous, automated assurance for your partner ecosystem by auditing manual partner processes, mitigating blind spots and financial risk.
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.
Transforms training from a cost center into a measurable business growth engine, helping to prove L&D ROI by analyzing training effectiveness and impact on business outcomes.
Handles inbound customer calls intelligently, understanding queries, providing accurate responses, and escalating complex cases to deliver fast, consistent, and human-like service at scale.
Acts as a real-time copilot for support teams, ensuring every interaction ends in resolution by addressing long handling times, inconsistent responses, and missed context.
Automatically captures, classifies, and routes customer issues in real time, addressing fragmented data, missed cases, delayed responses, and poor service visibility.
A community discussion forum for Latenode, focusing on leveraging AI copilots to generate RFP templates for enterprise scalability and addressing challenges in consolidating requirements from multiple departments.
