letta-ai/letta-code is an agent harness for building assistants that retain memory, identity, and experience across interactions instead of treating each task as isolated. Developers use it through local, desktop, browser, or messaging interfaces for interactive or continuously running agents, and its catalogue entries configure the agents' skills, instructions, rules, and behavior.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/letta-ai/letta-code/teleporting-between-environmentsnpx skills add letta-ai/letta-code --skill teleporting-between-environmentsgit clone --depth 1 https://github.com/letta-ai/letta-codeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/letta-ai/letta-code/teleporting-between-environments)<a href="https://agentmods.dev/skills/letta-ai/letta-code/teleporting-between-environments"><img src="https://agentmods.dev/badge/skills/letta-ai/letta-code/teleporting-between-environments.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.01002 |
| Opus 5 | $0.00036 | $0.00501 |
| Sonnet 5 | $0.00015 | $0.00200 |
| Haiku 4.5 | $0.00007 | $0.00100 |
Grade A, and why
teleporting-between-environments scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Teleporting Between Computers
Teleport the current agent and conversation without losing conversational memory. Prepare machine-local state first, then let the destination continue the same task.
Mental model
- Memory follows the agent; filesystem access does not. Files, working directories, credentials, running processes, and local services belong to the computer currently executing the conversation.
- Upload and download paths are relative to the current computer. Cloud cannot read a laptop path until the conversation teleports to that laptop.
- The conversation’s managed Cloud sandbox remains alive while the conversation runs elsewhere.
- Filesystem paths and cwd do not transfer between computers. Re-establish the destination’s repository, working directory, dependencies, credentials, and services after arrival.
Commands
letta teleport list
letta teleport cloud
letta teleport local
letta teleport <computer>
list: show accessible online Cloud-registered targets.cloud: create or resume this conversation’s managed Cloud sandbox.local: target the one online Letta Desktop computer. Desktop Remote Access must be enabled. If several Desktop computers are online, uselistand target one explicitly.<computer>: target a listed remote computer by its friendly selector.
Do not run or recommend letta teleport back; return to Desktop with local.
Transfer files with the existing sandbox commands:
letta sandbox upload <local-path>
letta sandbox download <sandbox-path> [--to <local-path>]
Do not invent letta teleport push, pull, or remote file-listing commands. No sandbox ID or wake command is needed.
Prepare the handoff
Before teleporting:
- Identify the target and every file, repository state, credential, service, or setup step the task needs there.
- Finish work that requires the current computer. Verify relevant files exist before transferring them.
- Upload current-computer artifacts needed in Cloud and retain the returned
/root/downloads/...paths in context. - Retain enough context to recreate destination-local setup, including the repository, branch or revision, working directory, dependency commands, and next action.
- Run teleport only after all source-side preparation is complete.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago Changed · -2 tokens per session 1e1dadc6432b
- 7d ago First seen · 115 lines · 75 tokens per session scan A 414e3c7c25b2
teleporting-between-environments is a skill published in the GitHub repository letta-ai/letta-code (3,215 stars, last pushed today), licensed Apache-2.0. It adds 73 tokens to every session and 1,002 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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