Borrowing it
Nothing to install: this file belongs to letta-ai/letta-agent-sdk. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/letta-ai/letta-agent-sdk/main/AGENTS.mdgit clone --depth 1 https://github.com/letta-ai/letta-agent-sdkWrote 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/instructions/letta-ai/letta-agent-sdk/agents-md)<a href="https://agentmods.dev/instructions/letta-ai/letta-agent-sdk/agents-md"><img src="https://agentmods.dev/badge/instructions/letta-ai/letta-agent-sdk/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/letta-ai/letta-agent-sdk/agents-md"><img src="https://agentmods.dev/badge/instructions/letta-ai/letta-agent-sdk/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01478 | $0.01478 |
| Opus 5 | $0.00739 | $0.00739 |
| Sonnet 5 | $0.00296 | $0.00296 |
| Haiku 4.5 | $0.00148 | $0.00148 |
Grade A, and why
letta-agent-sdk AGENTS.md 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 9d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Letta Agent SDK contributor map
Canonical source
Work in src/. dist/ is generated by bun run build, ignored by Git, and
published as a bundle. A repeated class or method in dist/index.js or
dist/client-entry.js can represent separate source-layer responsibilities
that Bun placed in one file; trace it back to src/ before changing it.
Session architecture
client-base.tsselects the backend and constructs a session.- Remote, Cloud, and the default local app-server path share
remote-client-session-core.ts. remote-session-protocol.tsowns portable protocol types, validation, and wire-to-domain normalization.remote-turn-coordinator.tsowns active/queued turn correlation and theSDKMessagestream queue.app-server-session.tsadapts an app-server connection to the runtime controller used by the portable session core.cloud-session.tsresolves Cloud runtimes and managed sandboxes, then uses the same runtime controller and portable session core.types.tsdefines the stable public SDK surface. Internal protocol types belong beside their implementation rather than in the public type barrel.
For session.listMessages() on an app-server or Cloud session, the call path
is:
RemoteClientSessionCore.listMessages →
RemoteClientRuntimeController.listMessages →
the selected transport adapter.
Those methods operate at different layers and should not be combined merely because they share a name.
Stream identifiers
Streamed SDKMessage values carry several identifiers, and each one answers a
different question. Most duplicate or missing message bugs in consumers come
from using one to answer another's question.
seqIdanswers "have I already processed this stream position?" It is a per-run replay cursor: use it to suppress replayed events after a resume or reconnect, compare it only within the samerunId, and reset the threshold when a new run starts. It is not row identity.otidanswers "which typed message slice is this?" Use it to reassemble the fragments of one slice. It is not a universal key across message types.uuidanswers "which message object is this?" Use it for message identity and for history cursoring and backfill. It is the top-level message ID when the stream provides one and an SDK-generated identifier otherwise, so it is neither a guaranteed server ID nor a replay cursor.toolCallIdanswers "which tool call is this about?" Use it to join atool_callwith itstool_result. It is not identity for assistant or reasoning messages.
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.
- 9d ago First seen · 122 lines · 1,478 tokens per session scan A 906ecba2ecff
letta-agent-sdk AGENTS.md is an instructions file published in the GitHub repository letta-ai/letta-agent-sdk (95 stars, last pushed 7d ago), licensed Apache-2.0. It adds 1,478 tokens to every session, about $0.0074 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.
Other instructions, from other repositories
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vscode buildNext.instructions.md
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vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.