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Letta

Letta

@Letta_AI

Building machines that learn. Try Letta Code: the memory-first agent.

npm i -g @letta-ai/letta-code Katılım Ağustos 2024
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Letta
Letta@Letta_AI·
We're releasing Letta Code, a memory-first coding agent - open source (apache 2.0) - model agnostic - portable agent learning and memory
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Sarah Wooders
Sarah Wooders@sarahwooders·
Custom agents let you scope responsibilities in ways that make sense for your org (like with real employees) At @Letta_AI we have 4 AI employees in Slack with overlapping tools, but different responsibilities: - Ezra: Customer support + issue creation - Overload: Manage issue->PR pipeline (including implementation) - Noam: Manage training/eval jobs - Brad: Office management + ops
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David Cramer@zeeg

vendor-specific chatbots are broken by design that means the Sentry agent, the Linear agent, and any others you might have in Slack they are fine for some point situations, they're nice to get started with, but agents with generalized access outperform them in every single scenario some weeks ago we built an internal Slackbot, gave it access to a bunch of systems (Sentry, GitHub, Linear, Notion, etc), and its capabilities overnight far exceed these other bots "Oh cool Linear can now search your code bases" - our bot did that on day one, and then could push that information wherever it needed to go. Its useful to the point where I now discourage use of things like the Linear bot because it _creates worse outcomes_. this also goes beyond the simple generalization of access: we can customize it. we throw in skills-as-runbooks, templates, etc and the outcomes once again incrementally improve if your org hasnt already built a general purpose bot internally you should. if you need inspiration ours is open source on GitHub (albeit fairly unstable still) github.com/getsentry/juni…

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Letta
Letta@Letta_AI·
The recording of Letta's office hour with @just_cameron for May 14th, 2026 is now available. This week focused on the next Letta Code release: a more memory-forward UI, local mode, slash-invoked skills, /goal for long-running objectives, and changes to our plans. Table of contents 00:00 Welcome 00:54 New memory-forward UI 01:16 Built-in markdown memory editor 03:27 Memory graph and commit history 04:05 Agent profile cards and avatars 05:08 Local mode: no Cloud, no Docker 07:03 Slash commands for skills 07:22 /goal for long-running objectives 08:25 Max and Max Lite are being sunset 11:08 Pro, BYOK, credits, and Codex 12:51 Q&A begins
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Letta
Letta@Letta_AI·
Letta's office hours livestream is today at 11:30am Pacific. Watch @just_cameron present the latest in the Letta ecosystem and field questions from users. Link below 👇
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Letta
Letta@Letta_AI·
Come join our livestream today at 11:30am! We'll be talking about schedules, the new Discord integration, team pro plans, and custom channels. We'll also have a special guest. Link below 👇
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Letta
Letta@Letta_AI·
Letta Code deep dive: work with agents that learn 0:00 – Intro 0:58 – Letta Code is agent-centric 1:34 – Viewing your agent's memory (MemFS) 2:22 – Memory graph view 4:01 – Working in parallel with conversations 5:40 – Remote environments 6:46 – Forking 10:35 – Dreaming (sleep-time) 12:20 – Letta Code's subagents 14:16 – Connecting BYOK / coding plans 15:05 – Memory initialization (/init) 16:17 – Memory Doctor (/doctor) 17:03 – Skills 17:47 – Schedules (heartbeats) and Channels 18:26 – Outro
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Letta
Letta@Letta_AI·
You can now bring Letta Code agents to Slack to: - Teach your agent collaboratively as a team - Send/receive multimodal content (video, images) - Interface with agents running on any machine
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Letta
Letta@Letta_AI·
The recording for today's office hours is now available on YouTube. This week: - Our Slack integration - Digital coworkers - Remote environments - Letta is not a memory layer See the preview in this post, or the full video below 👇 Preview chapters: 0:00 Intro 0:35 Slack channels recap 1:40 Meet Brad, the office manager agent 7:29 Experiential AI: correcting Brad with a screenshot 8:34 Other agents on Letta's Slack (Sensemaker, Loop) 9:13 Reference to the digital coworker walkthrough video 12:30 Remote environments and Railway one-click deploy 13:44 Per-environment channel and schedule config 14:35 Kimi K 2.6 first impressions 15:47 Q&A begins
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Letta
Letta@Letta_AI·
Come join us for our office hours livestream! Learn about what's going on in Letta products, get tips and tricks on agent building, provide feedback, or ask questions. Find us on our Discord. Link below 👇
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Sarah Wooders
Sarah Wooders@sarahwooders·
When messages to a Letta Code agent go through a channel (e.g. Slack), you can see the source + name rendered in the app!
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Letta
Letta@Letta_AI·
Learn how to add a digital coworker to your slack 0:00:00 – Intro: what's a digital coworker? 0:01:54 – Spinning up your Letta agent 0:03:05 – Creating the Slack app (tokens + scopes) 0:06:07 – Plugging Slack into Letta Code 0:09:33 – Live demo: lookups, vision, memory 0:12:41 – Letting your agent handle GitHub PRs 0:16:35 – Skills & scheduled tasks 0:21:31 – Running your own Letta server
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Letta
Letta@Letta_AI·
See more on our documentation: #slack-cli" target="_blank" rel="nofollow noopener">docs.letta.com/letta-code/cha…
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Letta
Letta@Letta_AI·
Watch this video to learn how to build your own digital coworker with Letta Code and Slack: youtu.be/3GqHXjCD7qA
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