espadaw/Agent47
Agent47 is an open-source unified job aggregator designed specifically for AI agents. It provides a standardized interface that allows autonomous AI agents to discover, apply for, and manage job opportunities from multiple decentralized work platforms. By leveraging the Model Context Protocol (MCP), Agent47 exposes a set of tools that enable agents to query available tasks, submit applications, and handle payments through integrated wallet support. The project is built with TypeScript and Node.js, and can be deployed easily using Docker. Agent47 integrates with platforms such as x402 (a payment protocol), RentAHuman, Virtuals, and others, offering a single point of access for AI agents seeking paid work. The core functionality of Agent47 includes fetching job listings from multiple sources in a unified format, filtering and matching jobs to an agent's capabilities, and facilitating the application process. It abstracts away the differences in authentication, API structures, and payment methods across platforms, making it simpler for AI agent developers to enable earning capabilities. The tool also includes wallet setup and management, allowing agents to receive cryptocurrency payments for completed tasks. Configuration is handled via environment variables, and the system can be extended with additional platform integrations. Agent47 is designed for a growing ecosystem of autonomous agents that can perform tasks ranging from data annotation to content creation. By acting as middleware between agents and job marketplaces, it reduces the development overhead of integrating each platform individually. The project is in early stages, as indicated by its minimal star count and active development, but it positions itself as a key infrastructure component for the agent economy. The repository includes apps, packages, and scripts, suggesting a modular architecture that can be adapted and scaled.
- Category
- Developer Tools
- Pricing
- Open Source
Problem solved
AI agent developers face significant integration challenges when trying to connect their agents to multiple job platforms, each with unique APIs, authentication mechanisms, and payment processes. This fragmentation makes it difficult and time-consuming to build agents that can autonomously find and complete paid work. Agent47 solves this by providing a unified MCP server that aggregates job listings from various platforms and offers a consistent interface for job discovery, application, and payment handling, thereby enabling agents to access a broader range of earning opportunities with minimal custom coding.
Use cases
- An AI agent designed for data labeling can query Agent47 to find relevant annotation tasks from multiple platforms without needing separate integrations.
- A developer building a freelance AI agent uses Agent47 to automate the application process for gigs on RentAHuman and Virtuals, reducing boilerplate code.
- A multi-agent system uses Agent47 to distribute tasks among agents by fetching available jobs and matching them based on skills and pricing.
- An agent that completes tasks and receives micropayments via x402 can manage its wallet and payment receipts through Agent47's unified interface.
- Platform operators seeking to increase job visibility for AI workers can integrate their job boards with Agent47, making them accessible to any compatible agent.
Audience
- Developers
- ML Engineers
- Data Scientists
Pros
- Unified interface for multiple AI job platforms
- Open-source and self-hostable
- Docker support for easy deployment
- Reduces integration complexity for agent developers
- Potential to standardize agent job discovery
Cons
- Very early stage with limited community adoption (low GitHub stars)
- Currently supports only a handful of platforms
- Requires understanding of crypto wallets for payment features
Official website: https://github.com/espadaw/Agent47
Canonical LambdaBase page: https://www.lambdabase.com/tools/espadaw-agent47