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Configuration Presets

Presets are purpose-built configuration templates that enable a curated set of features with a single flag. Instead of manually toggling individual settings, choose a preset that matches your use case.

Usage

Apply a preset during onboarding:

lango onboard --preset <name>

Or when creating a new profile:

lango config create my-profile --preset researcher

Available Presets

minimal

Basic AI agent (quick start)

The default configuration. Enables only the core agent with no optional features. Ideal for getting started quickly or running a simple chatbot.

researcher

Knowledge, RAG, Graph (research/analysis)

Designed for knowledge-intensive workflows -- document ingestion, semantic search, and graph-based reasoning.

Enables:

  • Knowledge -- Document ingestion and retrieval
  • Observational Memory -- Automatic context tracking across conversations
  • Graph -- Knowledge graph for entity and relationship queries
  • Embedding & RAG -- Vector embeddings (OpenAI text-embedding-3-small) for semantic search
  • Librarian -- Knowledge inquiry management

collaborator

P2P team, payment, workspace (collaboration)

Designed for multi-agent collaboration over a peer-to-peer network with economic coordination.

Enables:

  • P2P -- Peer-to-peer networking and discovery
  • Payment -- USDC wallet and transactions
  • Economy -- Budget, pricing, negotiation, and escrow

full

All features enabled (power user)

Enables everything in researcher plus automation, multi-agent orchestration, and MCP integration.

Enables:

  • Knowledge -- Document ingestion and retrieval
  • Observational Memory -- Automatic context tracking
  • Graph -- Knowledge graph
  • Embedding & RAG -- Vector embeddings (OpenAI text-embedding-3-small)
  • Librarian -- Knowledge inquiry management
  • Cron -- Scheduled job execution
  • Background -- Async background task runner
  • Workflow -- DAG-based YAML workflow engine
  • MCP -- Model Context Protocol server integration
  • Agent Memory -- Persistent per-agent memory
  • Multi-Agent -- Sub-agent orchestration (executor, researcher, planner)

Note

The full preset does not enable P2P, Payment, or Economy. Add those manually via lango settings if needed.

Feature Matrix

Feature minimal researcher collaborator full
Knowledge x x
Observational Memory x x
Graph x x
Embedding & RAG x x
Librarian x x
P2P x
Payment x
Economy x
Cron x
Background x
Workflow x
MCP x
Agent Memory x
Multi-Agent x

Customizing After Preset

Presets set initial values only. After onboarding with a preset, you can enable or disable any feature individually:

lango settings

This opens the interactive TUI editor where you can toggle features, change models, and adjust all configuration options.

Checking Current Status

See which features are currently enabled:

lango status

See Status Command for details on the unified status dashboard.