macOS
brew install letta-codelocal Homebrew formula metadata
安装
brew install letta-codelocal Homebrew formula metadata
winget install --id Letta.LettaCode -eWindows Package Manager source index · Letta.LettaCode · 来源: cdn.winget.microsoft.com
概览
Memory-first coding agent
历史
Letta Code is a memory-first coding-agent CLI and harness from Letta. Its project story belongs to the post-2024 wave of terminal coding agents, with the differentiator that agent identity, memory, skills, and conversation history are treated as durable state rather than per-session context.
The `letta-ai/letta-code` repository was created on October 25, 2025. Letta's product documentation presents the tool as the open-source Letta Agent harness for coding agents, desktop agents, personal agents, and more autonomous workflows.
Letta's launch material framed Letta Code as a response to stateless coding-agent sessions: instead of restarting from scratch, the same agent can learn project conventions through commands such as `/init`, `/remember`, and skill creation.
Letta Code entered package-manager culture quickly for a young AI developer tool: this batch records Homebrew and winget package identifiers, while the official quickstart documents global npm installation with `npm install -g @letta-ai/letta-code` and execution through the `letta` command.
The intended workflow is to start `letta` inside a project, connect model providers or coding plans, and let the agent inspect the codebase, retain memories, and resume future conversations. The docs also describe headless prompts, remote environments, subagents, skills, and memory-management commands.
For package nerds, Letta Code is notable less as a stable old Unix utility and more as a fast-moving example of AI tools becoming ordinary CLI packages. Its package metadata, npm install path, and Homebrew/winget entries show the distribution path for AI coding agents moving into the same channels as shells, editors, and build tools.
安全态势
没有找到 letta-code 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布,以便未来覆盖拥有稳定的软件包 URL。
在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
local files
These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.
Config paths the tool may read or write during local use.
~/.letta/channels/<channel>/channel.json~/.letta/channels/<channel>/routing.yaml~/.letta/channels/<channel>/pairing.yamlCredential-bearing paths to review before unattended agent runs.
~/.letta/channels/<channel>/accounts.json可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
letta | cli | 全局可执行文件 |
新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。
https://docs.letta.com/letta-code
安装元数据
| 软件包键 | brew:letta-code |
|---|---|
| 版本 | 0.28.18 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/letta-code |
| 主页 | https://docs.letta.com/letta-code |
| 仓库 | https://github.com/letta-ai/letta-code |
| 上游文档 | https://docs.letta.com/letta-code |
| 许可证 | Apache-2.0 |
| 源码归档 | https://registry.npmjs.org/@letta-ai/letta-code/-/letta-code-0.28.18.tgz |
| 最后更新 | 2026-07-25T03:37:44Z |
| Pulse | updated |
| 依赖 | gettext, glib, node, ripgrep, vips |
| 构建依赖 | pkgconf |
| Bottle | 可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | letta-code |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
源数据库匹配
匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。
Letta.LettaCode
winget install --id Letta.LettaCode -e来源线索
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
View the package source record on GitHub.