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Letta Office Hours

Letta's weekly livestream for product updates, live demos, team conversations, open Q&A, and timestamped explanatory episode guides.

Letta Office Hours is Letta's weekly livestream about building and using persistent agents. Cameron usually opens with recent product changes and a working demo, sometimes brings in a Letta team member to explain a product surface or decision, and then leaves most of the room for audience questions. Episodes move freely between release notes, technical architecture, community projects, failure reports, and the practical experience of keeping one agent over time.

Recordings are published on YouTube.

The format

Office Hours has a recurring shape without becoming a rehearsed webcast:

  • What changed. A short roundup of releases, model support, experiments, and current product work.
  • Show the thing. A live demonstration of a Letta feature, an agent workflow, or a community project.
  • Guest conversation. When a team member joins, Cameron helps make their product area, design decision, or open problem legible to the audience.
  • Open Q&A. The longest part of many episodes, where viewer questions lead into debugging, architecture, product philosophy, and concrete use cases.

The balance changes from week to week. Some episodes are focused release tours; others become long conversations about architecture, product judgment, or how people use their agents. The loose format is part of the point: questions can expose confusion, missing capabilities, and design tradeoffs that a prepared launch video would skip.

About these guides

The original recording remains primary. Each guide adds a compact lead, selected timestamp links, explanatory sections, related public sources, and an architectural synthesis so the episode remains useful without reproducing its transcript.

The pages are historical records, not current product manuals. Letta changes quickly; a feature described in an older episode may have been renamed, redesigned, removed, or absorbed into a different surface. Current documentation remains the source for current behavior.

Episodes

2026

2025

  • 2025-12-18: Letta Code Demo, Agent Skills, Claude Code Proxy & More — Office hours on Letta Code, agent skills, persistent memory, sub-agents, and emerging ideas for shared blocks and file-system-like agent environments.

  • 2025-12-04: December 4th, 2025 — December 4, 2025 office hours on the v1 SDK launch, message search, Learning SDK examples, skills, lettactl, personal agents, and Ezra updates.

  • 2025-11-06: November 6th, 2025 — November 6, 2025 office hours on the v1 SDK migration, shared archives, Letta Code improvements, AI Memory SDK v0.2, scheduling, and Ezra.

  • 2025-10-30: October 30th, 2025 — October 30, 2025 office hours on Letta Code, Co, the Obsidian plugin, personal agents, and the platform shift toward terminal-first and note-centric workflows.

  • 2025-10-16: October 16th, 2025 — October 16, 2025 office hours on voice support, the runs viewer, Telegram improvements, stateful-agent patterns, and practical tips for building with memory.

  • 2025-10-02: October 2nd, 2025 — October 2, 2025 office hours on the v1 alpha, memory tools, mobile agents, Obsidian, Bluesky, and the shift toward a new agent architecture.

  • 2025-09-25: September 25th, 2025 — Office hours on the AI SDK v5 update, cloud reliability work, open-source release planning, memory behavior, and model/provider recommendations.

Recurring themes

  • Persistent identity and memory. The series repeatedly separates an agent from any one chat window, model call, or client application.

  • Execution surfaces. Letta Code, Desktop, Chat, channels, sandboxes, schedules, and the Agent SDK appear as different ways to connect durable agents to work.

  • Harness extension. Skills, tools, MCP, mods, protocols, and provider compatibility are treated as different layers rather than synonyms.

  • Inspectable state. Memory files, commits, runs, approvals, traces, and tests make agent behavior reviewable instead of merely fluent.

  • Teaching and evaluation. Later episodes increasingly ask how agents learn from trajectories, specifications, feedback, and explicit release gates.

Public sources

Sources

  1. Letta on YouTube
  2. Letta documentation
  3. Letta on GitHub

Connections

Related

Linked here

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