mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-09-20 00:12:50 +00:00
214 lines
5.1 KiB
Markdown
214 lines
5.1 KiB
Markdown
# Quick Start
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## Installation
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ReMe requires Python 3.11+.
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Install from pip:
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```bash
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pip install "reme-ai[core]"
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```
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Install from source:
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```bash
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git clone https://github.com/agentscope-ai/ReMe.git
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cd ReMe
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pip install -e ".[core]"
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```
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Installing the `core` extra is recommended. The current code imports the AgentScope wrapper, and self-evolving memory also
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depends on it.
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To use agent workflows such as `auto_memory`, `auto_resource`, and `auto_dream`, configure an LLM:
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```bash
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cat > .env <<'EOF'
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LLM_BACKEND=openai
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LLM_MODEL_NAME=qwen3.7-plus
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LLM_API_KEY=your_api_key
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LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
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EOF
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```
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You can initially omit the LLM configuration if you only need basic file operations and BM25 retrieval.
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---
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## Start the Service
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```bash
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reme start
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```
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The default service address is `127.0.0.1:2333`. If the port is already in use:
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```bash
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reme start service.port=8181
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```
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```bash
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reme version
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reme health_check
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reme list
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```
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`reme list` lists server actions. Ordinary commands invoke server Jobs over HTTP.
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---
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## Workspace Layout
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The default workspace is `.reme/` under the current directory. It is created automatically at startup:
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```text
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.reme/
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├── metadata/ # persistent indexes, graph, catalogs, and related state
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├── session/ # agent sessions and original conversations
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├── resource/ # external resources
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├── daily/ # daily notes
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└── digest/ # long-term memory
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```
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For directory layers, Markdown frontmatter, and wikilink semantics, see
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[Memory as File](./memory_as_file.md).
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You can also specify the workspace at startup:
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```bash
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reme start workspace_dir=/tmp/reme-demo service.port=8181
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```
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---
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## Write, Index, and Search
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```bash
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reme write \
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path=digest/wiki/quick-start-demo \
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name="Quick Start Demo" \
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description="Example memory for the quick start" \
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content="# Quick Start Demo
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ReMe indexes Markdown under the daily, digest, and resource directories.
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Related link: [[digest/wiki/search-demo.md]]"
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```
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`path` is relative to the workspace. A missing suffix is automatically completed with `.md`. For Markdown files, `name` and
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`description` are written to frontmatter.
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The background watcher builds the index automatically. You can also rebuild it manually:
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```bash
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reme reindex
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```
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Search:
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```bash
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reme search query="quick start example memory" limit=5
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```
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Read:
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```bash
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reme read path=digest/wiki/quick-start-demo start_line=1 end_line=20
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```
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With the default configuration, retrieval is primarily BM25 plus wikilink graph expansion. Vector retrieval is supported by
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the code, but the embedding store is disabled by default. For the full retrieval flow, see
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[Memory Search](./memory_search.md).
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---
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## Files and Daily Notes
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```bash
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reme stat path=digest/wiki/quick-start-demo
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reme edit path=digest/wiki/quick-start-demo old="indexes" new="continuously indexes"
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reme frontmatter_read path=digest/wiki/quick-start-demo
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reme frontmatter_update path=digest/wiki/quick-start-demo metadata='{"tags":["demo"]}'
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```
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The name `list` is used by the CLI to list actions, so the file-listing Job must be called over HTTP:
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```bash
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curl -s http://127.0.0.1:2333/list \
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-H 'Content-Type: application/json' \
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-d '{"path":"digest","recursive":true,"limit":50}'
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```
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Daily notes:
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```bash
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reme write path=daily/2026-06-20/demo-session.md name=demo-session description="Demo session" content="Recorded content"
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reme daily_list
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reme daily_reindex
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```
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`write` can create a daily note directly. Run `daily_reindex` when the day's index needs to be refreshed.
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---
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## Automatic Memory
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```bash
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reme auto_memory \
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session_id=chat-demo \
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messages='[{"role":"user","content":"I prefer to preserve project experience as Markdown."},{"role":"assistant","content":"Recorded."}]' \
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memory_hint="Record the user's preference"
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```
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After placing external material under `resource/YYYY-MM-DD/`, the default background task watches
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`md/txt/json/jsonl/csv/yaml/html`. You can also trigger processing manually:
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```bash
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reme auto_resource changes='[{"path":"resource/2026-06-20/report.md","change":"added"}]'
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```
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Distill daily notes into long-term digest memory:
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```bash
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reme auto_dream date=2026-06-20
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reme proactive date=2026-06-20
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```
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These flows require a working LLM. Without an LLM configuration, start with basic capabilities such as `write`, `read`, and
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`search`.
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For more detail, see [Auto Memory](./auto_memory.md), [Auto Resource](./auto_resource.md),
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[Auto Dream](./auto_dream.md), and [Proactive](./proactive.md).
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---
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## HTTP and Configuration
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Every service-enabled Job is exposed as `POST /<job>`:
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```bash
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curl -s http://127.0.0.1:2333/version \
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-H 'Content-Type: application/json' \
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-d '{}'
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curl -s http://127.0.0.1:2333/search \
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-H 'Content-Type: application/json' \
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-d '{"query":"quick start","limit":5}'
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```
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The default configuration comes from `reme/config/default.yaml`. Override it at startup with dot notation:
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```bash
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reme start \
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workspace_dir=/tmp/reme-demo \
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service.host=127.0.0.1 \
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service.port=8181 \
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enable_logo=false
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```
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You can also specify a YAML or JSON configuration file:
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```bash
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reme start config=/path/to/custom.yaml
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```
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