This Project uses large language models to automate customer support. It classifies tickets, analyzes content, generate and send responses automatically to the given customer email address. Built with Streamlit and MCP Inspector Tool.
Cross-referenced across 55 tracked directories
#2895
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
5/22/2025
Created
1
GitHub Stars
1
Forks
1
Open Issues
6/5/2025
Last Commit
Recently added to the ecosystem
Score: 100/100
0 dependency vulnerabilities found
TeleAI-UAGI
TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.
...moreEcuaByte-lat
Cortex System: The Operating System for AI Engineering. Cure Technical Amnesia.
activeing123
Token-efficient MCP CLI client. 97% less tokens on tool discovery, 40-60% on results. Zero deps. Cross-platform. Works with every AI agent.
...moreyannpointud
Une équipe d'agents IA autonomes pour construire vos logiciels. Orchestrés par un superviseur, des agents Analyste et Développeur utilisent une architecture RAG et des LLMs (Mistral) pour gérer la conception, le code, les tests et la documentation de manière 100% autonome.
...more