ReMe/docs/en/configuration.md

title	description
Configuration	ReMe configuration files, environment expansion, command-line overrides, and core components.

Configuration

ReMe uses YAML or JSON to describe its Service, Jobs, and Components. The built-in default is reme/config/default.yaml. Select another configuration at startup and apply command-line overrides when needed.

Precedence

Configuration is merged in this order, with later values winning:

1. application_defaults from enabled plugins.
2. The selected file; default is used when none is specified.
3. CLI dot-notation overrides.

reme start
reme start config=demo
reme start config=cookbook
reme start config=/absolute/path/to/app.yaml
reme start service.port=8181 workspace_dir=/data/reme

config accepts a built-in name or a .yaml, .yml, or .json file. Overrides are deep-merged, so changing service.port preserves sibling service settings. The optional cookbook variant extends default and composes the separately installed Auto Fin, Daily Paper, and DingTalk plugins. It requires the three DingTalk application credential environment variables before configuration loading. It also enables text-embedding-v4 vector retrieval, uses AgentScope with ${LLM_MODEL_NAME:-qwen3.8-max} by default, and runs the DingTalk bridge through Claude Code with the same LLM_MODEL_NAME and LLM_API_KEY.

CLI values

Arguments use key=value; leading - or -- is accepted:

reme start --service.port=8181 --service.web_enabled=false

Values support null, booleans, numbers, JSON arrays and objects, quoted JSON strings, and plain strings. Numeric-looking values with leading zeroes, such as 007, remain strings. Quote values such as "true" in JSON when they must remain strings.

Environment variables

Configuration recursively expands:

api_key: ${LLM_API_KEY}
base_url: ${LLM_BASE_URL:-https://example.com/v1}

${VAR} fails when undefined; ${VAR:-default} uses its fallback. ReMe also searches for .env from the command's working directory through at most five parents.

Keep secrets in .env or the process environment, never in committed configuration.

Application fields

Field	Default	Purpose
app_name	ReMe	Display name
workspace_dir	.reme	User-owned workspace root, normalized to an absolute path
metadata_dir	metadata	Rebuildable indexes, graphs, and catalogs
session_dir	session	Agent sessions; standard transcripts use session/dialog
mem_session_dir	mem_session	Agent-wrapper sessions and configuration
resource_dir	resource	External resources
daily_dir	daily	Daily memory
digest_dir	digest	Consolidated long-term memory
timezone	Asia/Shanghai	IANA timezone used for dates and cron jobs
language	empty	Default language for LLM interactions
plugins	[]	Installed plugins enabled for this Application
service	HTTP	Service configuration
jobs	default Jobs	Job configurations by name
components	defaults	Components grouped by type and name

session_dir must remain workspace-relative.

LLM

The default LLM uses an OpenAI-compatible interface:

components:
  as_llm:
    default:
      backend: openai
      model: qwen3.7-plus
      context_size: 200000
      credential:
        api_key: ${LLM_API_KEY:-}
        base_url: ${LLM_BASE_URL:-}

Built-in registrations include openai, anthropic, dashscope, deepseek, gemini, moonshot, ollama, and xai. Their detailed model fields follow the corresponding AgentScope wrappers.

File operations, BM25 search, wikilink traversal, and proactive_read do not require an LLM. Evolution workflows such as auto_memory, auto_resource, auto_dream, and proactive refresh do.

Embeddings

Vector retrieval is disabled by default. Credentials alone do not enable it: configure as_embedding, embedding_store, and connect the store to file_store.

components:
  as_embedding:
    default:
      backend: openai
      model: text-embedding-v4
      dimensions: 1024
      credential:
        api_key: ${EMBEDDING_API_KEY}
        base_url: ${EMBEDDING_BASE_URL:-https://dashscope.aliyuncs.com/compatible-mode/v1}
  embedding_store:
    default:
      backend: local
      as_embedding: default
  file_store:
    default:
      backend: local
      embedding_store: default
      keyword_index: default
      file_graph: default

Rebuild the embedding index after changing the model or dimensions.

Service and Jobs

Minimal HTTP configuration:

service:
  backend: http
  host: 127.0.0.1
  port: 2333
  web_enabled: true
  mcp_enabled: true
  mcp_path: /mcp

A Job declares a backend, parameter schema, and ordered Steps:

jobs:
  example:
    backend: base
    description: Example job
    parameters:
      type: object
      properties:
        text: { type: string }
      required: [text]
    steps:
      - backend: example_step

Set enable_serve: false to keep a Job internal. Background and cron Jobs are never service-exposed.

Inspect the effective configuration

reme app_config

The result is the merged, validated configuration with secrets redacted. Use it when diagnosing plugin or override precedence. The authoritative contracts remain reme/schema/application_config.py and reme/config/default.yaml.