Letta

@Letta_AI • 10,214 subscribers

Building machines that learn.

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Agents can now not only rewrite their memory, but also rewrite the execution code they run in (the harness) through Mods. Mods (inspired by Pi's extension system) allow for harness-level changes like: - modifying context - injecting custom tools - customizing the statusline

Agents can now not only rewrite their memory, but also rewrite the execution code they run in (the harness) through Mods. Mods (inspired by Pi's extension system) allow for harness-level changes like: - modifying context - injecting custom tools - customizing the statusline

27,001 次观看

Introducing Agent File (.af) 👾 - an open file format for importing/exporting agents. With .af, you can reproduce an agent (with the same behavior and memories) without any setup or scripts: simply load the .af into your Letta server or Letta Desktop:

Introducing Agent File (.af) 👾 - an open file format for importing/exporting agents. With .af, you can reproduce an agent (with the same behavior and memories) without any setup or scripts: simply load the .af into your Letta server or Letta Desktop:

44,914 次观看

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We're releasing Letta Code, a memory-first coding agent - open source (apache 2.0) - model agnostic - portable agent learning and memory

We're releasing Letta Code, a memory-first coding agent - open source (apache 2.0) - model agnostic - portable agent learning and memory

375,304 次观看 • 10 个月前

Letta Code can now run **fully locally** with an embedded server - no login or Docker required Memory is stored locally, but can be synced to GitHub with `/memory-repository` Now includes builtin support for local LLMs (ollama LM Studio) through pi-ai from Mario Zechner

Letta Code can now run fully locally with an embedded server - no login or Docker required Memory is stored locally, but can be synced to GitHub with `/memory-repository` Now includes builtin support for local LLMs (ollama LM Studio) through pi-ai from Mario Zechner

20,614 次观看 • 4 个月前

We’re launching the Letta Code app, built for memory-first agents that get better the more you use them.

We’re launching the Letta Code app, built for memory-first agents that get better the more you use them.

18,270 次观看 • 6 个月前

Why restrict your agent to a single computer? 💻 You can now swap out the machine your agent runs on, even mid-conversation. Transfer your agent to your Mac mini or remote VM from the Letta Code app.

Why restrict your agent to a single computer? 💻 You can now swap out the machine your agent runs on, even mid-conversation. Transfer your agent to your Mac mini or remote VM from the Letta Code app.

16,910 次观看 • 6 个月前

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