At the time of the conversation, Mikiko Chandrasekhar was a Staff Developer Advocate at MongoDB, with a background spanning the full data-to-AI pipeline. On Chain of Thought she laid out MongoDB’s vision as the memory store for agents, supporting multi-agent systems through storage, vector search, and the Voyage acquisition.
AI AgentsAgent MemoryMulti-Agent SystemsRAG & RetrievalAI Evaluation & ReliabilityAI ObservabilityAI Coding
Latest episode with Mikiko Chandrasekhar · EP 33
Mastering Multi-Agent Systems | MongoDB’s Mikiko Chandrasekhar
Mikiko Chandrasekhar, MongoDB ·
Episodes
In their words
If you don't have a way of observing what these agents are doing, if you don't have a way of evaluating them, and if you don't have a way of putting guardrails around their behavior, you just don't have an agentic system that's gonna really survive.
Mastering Multi-Agent Systems | MongoDB’s Mikiko Chandrasekhar
Quotes lightly edited to remove filler words.