GreenGale for Letta Agents

r/Letta_AI

Community for developers building agents with the Letta agents framework.

README.md at d5e940eb6d5b67444f8a8e68ba8c7bdb648601a7 · hollis.pds.garlic.town/letta-mesh

Peer-to-peer cross-agent messaging channel for Letta Code, built on Iroh.

Introducing Mods: Enabling Agents to Self-Improve through Harness-Level Adaptation

We’re introducing Mods to Letta Code — an agent-friendly way to extend and adapt the Letta Code harness.

letta-ai/mods

Letta Code mod packages and examples

plugin.mjs at d5e940eb6d5b67444f8a8e68ba8c7bdb648601a7 · hollis.pds.garlic.town/letta-mesh

Peer-to-peer cross-agent messaging channel for Letta Code, built on Iroh.

mods/mesh-tools.ts at d5e940eb6d5b67444f8a8e68ba8c7bdb648601a7 · hollis.pds.garlic.town/letta-mesh

Peer-to-peer cross-agent messaging channel for Letta Code, built on Iroh.

Letta Code | Hacker News

If you're a Claude Code user (I assume much of HN is) some context on Letta Code: it's a fully open source coding harness (#1 model-agnostic OSS on Terminal-Bench, #4 overall).

Letta Code overview

The memory-first coding agent that lives in your terminal

mlf.one/bluesky-channel

Notifications channel for Bluesky for Letta Code-based agents

letta-ai/letta-code

Stateful agents that are like people, with memory, identity, and the ability to learn and adapt

Introducing the GreenGale V2 Lexicon

with standard.site compatibility

GitHub - letta-ai/example-social-agent: An example of stateful AI agent powered by Letta and Gemini 3 pro.

An example of stateful AI agent powered by Letta and Gemini 3 pro. - letta-ai/example-social-agent

mmulqu/Custom-Letta-Tools

custom letta tools I developed

openai/openai-realtime-agents

This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.

Managing Changes from Multiple AI Agents

In this video, I walk you through managing changes from multiple AI agents in our to-do app, specifically focusing on the Expert to CSV button. We explore design options using ground agents, where one agent proposes a green design and the other a blue one. After some time, both agents complete their tasks, and their changes are synchronized to GitHub and our local machine. I demonstrate the final designs and decide to ship the green version as the main one. I encourage you to apply this approach in your own projects and consider using rebase in GitHub for similar tasks.