EmberAGI/arbitrum-vibekit
Apr 2025 – Apr 2025
1 Month active
Languages Used
JSONJavaScriptTypeScriptdotenv
Technical Skills
API IntegrationBackend DevelopmentExpress.jsLLM IntegrationMCP (Model Context Protocol)Node.js
Guilherme Barreiro Vieira
PROFILE
Guilherme Barreiro Vieira
Developed the TrendMoon Agent MVP for the EmberAGI/arbitrum-vibekit repository, focusing on delivering a robust backend foundation for a cryptocurrency social data AI platform. Established an Express.js server in Node.js and TypeScript, exposing agent capabilities through HTTP API endpoints. Integrated the Model Context Protocol (MCP) and OpenAI to enable natural language understanding and dynamic data retrieval, supporting features such as crypto alerts, social trends, project summaries, and historical price data. The work emphasized modularity and extensibility, laying groundwork for future enhancements by designing MCP connectors and flexible data sources, with all efforts concentrated on solidifying the initial MVP architecture.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,303
Activity Months1
Your Network
20 peopleShared Repositories
20
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 — Monthly summary for EmberAGI/arbitrum-vibekit focused on MVP delivery of TrendMoon Agent with HTTP API and MCP/OpenAI integration. Established an Express server exposing agent capabilities via HTTP endpoints and integrated with MCP and OpenAI for natural language understanding and data fetching (crypto alerts, social trends, project summaries, and historical price data). No major bugs reported this month; efforts centered on solidifying the MVP foundation and preparing for scalable future work.
1 Commits • 1 Features
Apr 1, 2025April 2025 — Monthly summary for EmberAGI/arbitrum-vibekit focused on MVP delivery of TrendMoon Agent with HTTP API and MCP/OpenAI integration. Established an Express server exposing agent capabilities via HTTP endpoints and integrated with MCP and OpenAI for natural language understanding and data fetching (crypto alerts, social trends, project summaries, and historical price data). No major bugs reported this month; efforts centered on solidifying the MVP foundation and preparing for scalable future work.
April 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
JSONJavaScriptTypeScriptdotenv
Technical Skills
API IntegrationBackend DevelopmentExpress.jsLLM IntegrationMCP (Model Context Protocol)Node.jsTypeScript Development
Repositories Contributed To
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