letta

Source#

• Repository: letta-ai/letta
• Last source update: 2026-03-01
• Last verified: 2026-03-01

Tags#

Integration notes#

Platform-level abstraction; use worker wrappers for strict I/O schemas and auditable retries.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: letta-repo-derived-worker
name: letta Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/letta/
source_repository: https://github.com/letta-ai/letta
repository_default_branch: main
repository_language: Python
repository_license: Apache-2.0
repository_updated_at: 2026-03-01
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-03-01
tags:
  - ai
  - ai-agents
  - llm
  - llm-agent
---

# letta Repo-Derived Worker

## Repo-derived summary
- Registry summary: Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
- Repository description: Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
- Stars (snapshot): 21,346
- Primary language: Python
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/letta-ai/letta
- https://github.com/letta-ai/letta/blob/main/README.md
- https://docs.letta.com/letta-code
- https://docs.letta.com/quickstart/
- https://github.com/letta-ai/letta-code

## Evidence notes (from repository text)
- README summary paragraph: Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
- Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
- 1. Install the https://github.com/letta-ai/letta-code CLI tool: `npm install -g @letta-ai/letta-code`
- 2. Run `letta` in your terminal to launch an agent with memory running on your local computer
- When running the CLI tool, your agent help you code and do any task you can do on your computer.
- Use the Letta API to integrate stateful agents into your own applications.

## Installation hints found in README
- `pip install letta-client`
- `npm install -g @letta-ai/letta-code`
- `npm install @letta-ai/letta-client`

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

• Save this as a worker spec file (for example: letta-my-task.worker.md).
• Replace the input/output schemas and purpose with your real bounded task.
• Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/letta/

Source URL: https://github.com/letta-ai/letta