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March 22, 2025 · Delhi

Multi-Agent LLM Scheduling Co-Agent

This talk covers building an intelligent appointment scheduling co-agent using LLM multi-agent systems to resolve conflicts, optimize availability, and send email confirmations.

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  • Python
    Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.
    Python is the high-level, general-purpose language prioritizing clear, readable syntax (via significant indentation), ensuring rapid development for any team . Its ecosystem is massive: use it for robust web development with frameworks like Django and Flask, or leverage its power in data science with libraries such as Pandas and NumPy . The Python Package Index (PyPI) provides thousands of community-contributed modules, offering immediate solutions for tasks from network programming to GUI creation . The language is actively maintained by the Python Software Foundation (PSF), with the stable release currently at Python 3.14.0 (as of November 2025) .
  • LangGraph
    A low-level orchestration framework for building long-running, stateful, and cyclic multi-agent systems using a graph-based architecture.
    LangGraph is the specialized, low-level runtime for developing complex AI agents, extending the LangChain ecosystem to handle intricate, stateful workflows. It models the agent's logic as a directed graph: nodes represent actions (LLM calls, tool use), and conditional edges dictate the flow, enabling critical features like cycles (loops) for iterative reasoning. This graph-based approach ensures durable execution, allowing agents to persist through failures and resume operations. Key capabilities include comprehensive memory management via a shared state object and built-in human-in-the-loop functionality (interrupts) for external oversight. This robust framework is trusted by production teams at companies like Klarna and Replit for deploying scalable, resilient agent architectures.
  • CromaDB
    ChromaDB is the open-source, AI-native vector database engineered for Large Language Model (LLM) applications and Retrieval-Augmented Generation (RAG).
    ChromaDB acts as the critical storage and retrieval layer for vector embeddings, enabling semantic search and context injection for LLMs. It is an open-source project, licensed under Apache 2.0, and has quickly scaled its community, boasting over 24k GitHub stars and exceeding 8 million monthly downloads. The company secured $18 million in seed funding in April 2023, underscoring its market traction. Developers leverage its Python and JavaScript SDKs for streamlined integration, focusing on speed and developer productivity for building high-performance AI systems.

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