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letta

Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot23k stars

2.5k forks · 153 contributors

Doramagic.ai Last verification date: 2026-07-31 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-31

What is letta?

Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/letta-ai/letta, https://github.com/letta-ai/letta#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.

Repositoryletta-ai/letta

23k stars · 2.5k forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Project Overview & System Architecture

Related topics: LLM Provider Integration & Compatibility, Hierarchical Memory & Data Layer, Agents, Tools & Sandbox Execution

Source: https://github.com/letta-ai/letta / Human Manual

LLM Provider Integration & Compatibility

Related topics: Project Overview & System Architecture, Agents, Tools & Sandbox Execution

Source: https://github.com/letta-ai/letta / Human Manual

Hierarchical Memory & Data Layer

Related topics: Project Overview & System Architecture, Agents, Tools & Sandbox Execution

Source: https://github.com/letta-ai/letta / Human Manual

Agents, Tools & Sandbox Execution

Related topics: Project Overview & System Architecture, LLM Provider Integration & Compatibility, Hierarchical Memory & Data Layer

Source: https://github.com/letta-ai/letta / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/letta-ai/letta, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars23k stars

Forks2.5k forks

Contributors153 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using letta with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Should deterministic code structure live outside embedded memory?
github / github_issue
02
OptimisticJSONParser drops closing quote for string values ending in an
github / github_issue
03
[BUG]: MCP server refresh does not recover tools for legacy/flattened se
github / github_issue
04
Feature Request: Add Standard Memory Evaluation Benchmarks (LOCOMO, MemB
github / github_issue
05
POST /v1/tools: 500 SQL error when tool name cannot be extracted from so
github / github_issue
06
OpenAI-compatible /v1/chat/completions endpoint rejects standard image_u
github / github_issue
07
Enable Private Vulnerability Reporting
github / github_issue
08
Anthropic streaming inner-thought completion check blocks zero-argument
github / github_issue
09
AsyncComposioToolSet execute_action uses mutable params default and unbo
github / github_issue
10
MCP server tool discovery lacks operation-level timeouts for connect/lis
github / github_issue
11
README typo: agent help -> agent helps (line 15)
github / github_issue
12
MCP server PATCH schema rejects server-name-only and partial config upda
github / github_issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

npm install -g @letta-ai/letta-code

Official start command · https://github.com/letta-ai/letta#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

letta Manual

Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.

Open the full manual

https://github.com/letta-ai/letta Project Manual
Table of Contents
Project Overview & System Architecture
Related Pages
Purpose and Scope
High-Level Architecture
Agent Runtime and Memory Model
Server, REST API, and Sandboxing

Project Overview & System Architecture

Related topics: LLM Provider Integration & Compatibility, Hierarchical Memory & Data Layer, Agents, Tools & Sandbox Execution

Source: https://github.com/letta-ai/letta / Human Manual

LLM Provider Integration & Compatibility

Related topics: Project Overview & System Architecture, Agents, Tools & Sandbox Execution

Source: https://github.com/letta-ai/letta / Human Manual

Hierarchical Memory & Data Layer

Related topics: Project Overview & System Architecture, Agents, Tools & Sandbox Execution

Source: https://github.com/letta-ai/letta / Human Manual

Agents, Tools & Sandbox Execution

Related topics: Project Overview & System Architecture, LLM Provider Integration & Compatibility, Hierarchical Memory & Data Layer

Source: https://github.com/letta-ai/letta / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

high

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: Bedrock provider ignores encrypted AWS credentials

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: VLLM provider ignores encrypted API keys during model discovery

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: [Bug]: Cross-Session State Leakage via Persistent Core Memory Poisoning (Sandbox Isolation Failure)

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.