agentscope-ai/ReMe

typescript

将 DeepSeek Harness 接入 ReMe 本地优先、自进化的个人知识库:自动把已完成的主 Agent 对话沉淀为用户掌控的 Markdown 记忆,通过 reme_search 结合 BM25、可选向量检索和 wikilink 展开搜索对话与资料,并按日整理长期记忆。

记忆agentai-agentsmemory

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_search lookup.
  • Captures completed conversations through background auto_memory batches.
  • Runs optional daily auto_dream consolidation in the workspace timezone.
  • Keeps durable memory in user-owned daily and digest Markdown 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:

pip install "reme-ai[core]"
reme start workspace_dir=/absolute/path/to/workspace

Install the adapter for your host:

# DeepSeek Harness
dsh plugin --profile web add @agentscope-ai/reme

# OpenClaw
openclaw plugins install clawhub:@agentscope-ai/reme

The 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

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.