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Tribe AI
Overview :
Tribe AI is a low-code tool that leverages the langgraph framework, allowing users to easily customize and coordinate intelligent agent teams. By allocating complex tasks to agents skilled in different domains, each agent can focus on what they do best, resulting in faster and more effective problem-solving.
Target Users :
Tribe AI is designed for businesses or developers who need to rapidly construct a team of intelligent agents to tackle complex problems. It is particularly suitable for teams that aim to simplify the process of programming and coordinating intelligent agents to enhance efficiency and response speed.
Use Cases
Soccer Analysis: An intelligent agent team, one that searches for the latest Premier League news, and another that analyzes data to write in-depth reports on the performances of each team for the new season. This team ensures that every aspect of your travel is covered.
Travel Planning: One agent recommends the best local restaurants, while another finds top hotels. This team ensures every part of your journey is well-covered.
Customer Service: A customer service team where one agent handles IT issues, another manages complaints, and a third handles product inquiries. Each agent specializes in different fields, making services faster and more efficient.
Features
Persistent conversation: Save and maintain chat histories, enabling continuous dialogue.
Observability: Use LangSmith to monitor and track the performance and outputs of intelligent agents in real-time.
Tool invocation: Allow intelligent agents to use external tools and APIs.
Retrieval enhanced generation: Enable intelligent agents to use internal knowledge bases for reasoning.
Human-in-the-loop: Enable manual approval before tool invocation.
Simple deployment: Deploy Tribe easily using Docker.
Multi-tenant: Manage and support multiple users and teams.
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Tribe AI is a low-code tool that leverages the langgraph framework, allowing users to easily customize and coordinate intelligent agent teams. By allocating complex tasks to agents skilled in different domains, each agent can focus on what they do best, resulting in faster and more effective problem-solving.
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