ReMe for TypeScript agents
@agentscope-ai/reme connects DeepSeek Harness and OpenClaw to ReMe's local-first, file-native long-term memory. The package also exposes a host-independent ReMe HTTP client.

Capabilities
- Injects memory guidance and provides explicit
reme_searchlookup. - Captures completed conversations through background
auto_memorybatches. - Runs optional daily
auto_dreamconsolidation in the workspace timezone. - Keeps durable memory in user-owned
dailyanddigestMarkdown files. - Uses each host's native lifecycle, tools, settings, and shutdown hooks.
- Excludes plugin context and tool results from automatic memory capture.
Documentation
| Host | English | 中文 |
|---|---|---|
| DeepSeek Harness | Guide | 使用指南 |
| OpenClaw | Guide | 使用指南 |
Quick start
Start ReMe:
bash
pip install "reme-ai[core]"
reme start workspace_dir=/absolute/path/to/workspaceInstall the adapter for your host:
bash
# DeepSeek Harness
dsh plugin --profile web add @agentscope-ai/reme
# OpenClaw
openclaw plugins install clawhub:@agentscope-ai/remeThe default endpoint is http://127.0.0.1:2333. ReMe HTTP does not use API-key authentication, so keep it on loopback or another trusted network unless it is protected by a proxy.
Client library
ts
import { ReMeClient, formatReMeContext } from "@agentscope-ai/reme";Host adapters are exported from @agentscope-ai/reme/dsh and @agentscope-ai/reme/openclaw. See the host guides for requirements, configuration, screenshots, troubleshooting, and release behavior.