Letta Code A Memory First Coding Agent Letta A quick walkthrough of how sub agents work in letta code. subagents are parallel workers your primary agent can spawn to handle tasks without sharing context. By delegating work to focused subagents, your main agent can keep its context window clean and make use of parallelism to divide and conquer tasks. letta code includes eight built in subagent types optimized for common workflows, and you can create custom subagents for specialized tasks.
Agent Memory How To Build Agents That Learn And Remember Letta The subagent system enables multi agent delegation, allowing a primary agent to spawn specialized sub agents to handle complex, multi step tasks autonomously. each subagent runs as an independent agent with its own conversation, toolset, and memory, executing in a separate process until completion. Most teams use sub agents as a speed hack. the real value is context garbage collection. a practical guide to sub agent architecture, opus sonnet haiku routing, isolation strategies, and the cost quality tradeoffs nobody talks about. Letta code is a memory first coding harness, built on top of the letta api. instead of working in independent sessions, you work with a persisted agent that learns over time and is portable across models (claude sonnet opus, gpt codex, gemini, glm, kimi, and more). New letta code video: how to use parallel subagents to explore your codebase cheaper and faster. lnkd.in gjzxad5q.
Sub Agents In Claude Code By Avi Chawla Letta code is a memory first coding harness, built on top of the letta api. instead of working in independent sessions, you work with a persisted agent that learns over time and is portable across models (claude sonnet opus, gpt codex, gemini, glm, kimi, and more). New letta code video: how to use parallel subagents to explore your codebase cheaper and faster. lnkd.in gjzxad5q. Claude code agent teams lets multiple ai agents collaborate via a shared task list. learn how it differs from sub agents, when to use it, and the token cost. Claude code supports three distinct execution models for sub agents: fork (inherits parent context, cache optimized), teammate (separate pane in tmux iterm, communicates via file based mailbox), and worktree (gets its own git worktree, isolated branch per agent). sub agents share prompt caches, which means parallelism is essentially free. Letta just shipped parallel subagents in letta code. one prompt spawns multiple specialized agents simultaneously — each with its own model, context window,. Subagents handle tasks like code review, exploration, planning, or custom workflows defined by the user. this page provides a high level overview of the subagent architecture and how the components work together.
ёяза Letta Building Stateful Llm Agents With Memory And Reasoning By Claude code agent teams lets multiple ai agents collaborate via a shared task list. learn how it differs from sub agents, when to use it, and the token cost. Claude code supports three distinct execution models for sub agents: fork (inherits parent context, cache optimized), teammate (separate pane in tmux iterm, communicates via file based mailbox), and worktree (gets its own git worktree, isolated branch per agent). sub agents share prompt caches, which means parallelism is essentially free. Letta just shipped parallel subagents in letta code. one prompt spawns multiple specialized agents simultaneously — each with its own model, context window,. Subagents handle tasks like code review, exploration, planning, or custom workflows defined by the user. this page provides a high level overview of the subagent architecture and how the components work together.
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