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.
Serverless AI workflows for data and ML teams. Build and deploy stateful agent pipelines with persistent memory.
Open-source LLM app development platform combining AI workflow, RAG pipeline, and agent capabilities with an intuitive UI.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and observability in production.
Secure sandboxed cloud environments for running AI-generated code, making it easy to add code interpreting capabilities to AI applications.
Xurrent Developer Documentation provides GraphQL and REST APIs for integrating with Xurrent services, including Request, Workflow, CI, Service, and SLA management.
Box Developer Resources provides documentation, APIs, and tools for developers to integrate with Box, including access to the Box Developer Console for managing applications and API keys.
Box Developer Resources provides documentation, APIs, and tools for developers to integrate with Box, including access to the Box Developer Console for managing applications and API keys.
Box Developer Resources provides documentation, APIs, and tools for developers to integrate with Box, including access to the Box Developer Console for managing applications and API keys.
Launchonomy is a system for orchestrating AI agents to complete missions through consensus, providing a framework for managing and coordinating agent activities.
Apideck provides unified APIs, SDKs, and over 200 connectors to help developers ship integrations faster. It aims to simplify the process of connecting various applications and services.
Emergence builds mission-critical agentic infrastructure for enterprises, providing verified, governed AI agents that plan, reason, and act across complex systems.
AgentOS is an operating system for AI agents, providing a foundation for building and deploying them. It is part of Shyft's offerings for unified data infrastructure, making B2B revenue data AI-ready.
Execution governance for AI agent architectures, including process models, decision tables, activity attributes, and structured accountability.
Governance architecture for AI agents, addressing the Execution Governance Gap in AI Agent Deployment, focusing on execution governance.
A four-layer reference model for governing AI agent behavior within organizations, from intent discovery to runtime alignment.
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.
The #1 AI Agent Builder for Web3, facilitating the interaction of AI agents and LLMs with Web3 Decentralized Applications (DApps).
Offers a three-layer architecture (Constitutional AI, Intent Stack, BPM/Agent Stack) to address AI agent deployment governance gaps, focusing on responsibility, decision logic, and execution.
GrowExx offers an AI-powered automated account reconciliation solution that streamlines financial processes by automating unique reconciliation nuances, saving significant time.
TestMu AI provides scalable web browser infrastructure for AI agents, enabling them to scrape, test, and automate web interactions. Offers an AI-powered testing platform.
Salesforce offers an Agentic AI CRM, enabling humans and agents to drive success together through a unified AI, data, and Customer 360 platform. Unlocks new ways to automate tasks and personalize experiences.
An AI agent designed for web scraping tasks, leveraging artificial intelligence to automate the process of extracting data from websites efficiently.
IBM AI productivity software integrates intelligent agents and automation across hybrid environments to enhance enterprise efficiency and outcomes, focusing on improving business results.
Kalki offers infrastructure for the agent economy, focusing on trust, identity, marketplace, and agent wallets to facilitate AI agent commerce.
Kalki provides end-to-end infrastructure for the AI agent economy, including trust, identity, marketplace, and wallet solutions to facilitate AI agent commerce.
ATLAS AI by Captivix offers an agent catalog with over 25 pre-built AI agents for business functions like GTM strategy, sales intelligence, and customer service, designed for specific business outcomes.
Infor provides an enterprise AI platform that explains AI agents, their types, and use cases, focusing on autonomous task performance for predefined goals.
No-code platform for building AI agents that leverage enterprise data. Allows users to create intelligent, data-driven agents without coding.
Enterprise AI Agent Platform offering scalable, secure, and flexible AI solutions, preventing hallucinations and powering autonomous agents with a library of tools.
No-code interface for visually creating and deploying AI agents, enabling workflow automation and secure connection to enterprise data.
Vertesia's enterprise AI agent platform offers scalable, secure, and flexible AI solutions, preventing hallucinations and powering autonomous agents with a tool library. Designed for enterprise, it provides robust security, auditing, and high-volume processing.
Jotform's Tracking Manager AI Agent streamlines client progress tracking and data collection for businesses, offering a template for efficient workflow management.
Manifold provides an enterprise platform for AI agents that accelerates scientific research, enabling users to control agents for advancing scientific discovery.
Jotform's Incident Report AI Agents are specialized AI assistants that transform traditional incident reporting forms into intelligent, conversational interfaces for streamlined data collection and documentation.
Genesis Computing deploys enterprise-ready AI Data Agents that automate data workflows from engineering to ops to analysis on existing cloud stacks, including data research, ingestion, mapping, and code writing.
