Uploaded March 2025 | Updated September 2026, 5 hours ago
Hey everyone! Thank you so much for watching the 117th episode of the Weaviate podcast! In this episode, we dive deep into the cutting edge of AI agent development with Sarah Wooders, co-founder and CTO of Letta AI. Emerging from Berkeley's Sky Computing Lab, Sarah and her team have pioneered a revolutionary approach to stateful agents - AI systems that genuinely remember both you and themselves across extended conversations. The conversation explores how the groundbreaking MemGPT project evolved into Letta's comprehensive Agent Development Environment (ADE), which empowers developers to build truly persistent AI experiences. Sarah shares powerful insights on context management, memory prioritization, and the critical role of databases in agent architecture. Whether you're building AI systems or simply curious about where conversational AI is heading, this episode illuminates how the future of agents depends not just on their reasoning capabilities, but on their ability to maintain coherent identity and memory over time.
Links:
Get started with Letta Desktop: docs.letta.com/quickstart/desktop
Stateful Agents: letta.com/blog/stateful-agents
MemGPT: arxiv.org/abs/2310.08560
MemGPT Explained! - youtube.com/watch?v=nQmZmFERmrg
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! - arxiv.org/pdf/2502.07374
0:00 Welcome Sarah!
4:03 Stateful Agents
8:28 Context Window Optimization
9:13 Self-Optimizing Agents
12:43 Agent Personas
14:48 Gradient Descent and Prompts
19:58 Tools and Function Calling
21:53 Agent Development Environment (ADE)
31:54 Databases for Agents
36:28 LLM-Tool Use Examples
37:03 Multi-Agent Systems
41:28 Model Routers
43:26 Reasoning Models and Context Windows
47:53 Inspiration for ADE
50:52 Bring your own Tools
57:00 Future Directions for AI
Hey everyone! Thank you so much for watching the 117th episode of the Weaviate podcast! In this episode, we dive deep into the cutting edge of AI agent development with Sarah Wooders, co-founder and CTO of Letta AI. Emerging from Berkeley's Sky Computing Lab, Sarah and her team have pioneered a revolutionary approach to stateful agents - AI systems that genuinely remember both you and themselves across extended conversations. The conversation explores how the groundbreaking MemGPT project evolved into Letta's comprehensive Agent Development Environment (ADE), which empowers developers to build truly persistent AI experiences. Sarah shares powerful insights on context management, memory prioritization, and the critical role of databases in agent architecture. Whether you're building AI systems or simply curious about where conversational AI is heading, this episode illuminates how the future of agents depends not just on their reasoning capabilities, but on their ability to maintain coherent identity and memory over time.
Links:
Get started with Letta Desktop: docs.letta.com/quickstart/desktop
Stateful Agents: letta.com/blog/stateful-agents
MemGPT: arxiv.org/abs/2310.08560
MemGPT Explained! - youtube.com/watch?v=nQmZmFERmrg
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! - arxiv.org/pdf/2502.07374
0:00 Welcome Sarah!
4:03 Stateful Agents
8:28 Context Window Optimization
9:13 Self-Optimizing Agents
12:43 Agent Personas
14:48 Gradient Descent and Prompts
19:58 Tools and Function Calling
21:53 Agent Development Environment (ADE)
31:54 Databases for Agents
36:28 LLM-Tool Use Examples
37:03 Multi-Agent Systems
41:28 Model Routers
43:26 Reasoning Models and Context Windows
47:53 Inspiration for ADE
50:52 Bring your own Tools
57:00 Future Directions for AI
