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ReMe#typescript 项目预览
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ReMe#typescript

Memory & KnowledgePythonApache-2.0

Connects DeepSeek Harness to ReMe's local-first, self-evolving personal knowledge base: automatically captures completed main-agent conversations as user-owned Markdown memory, searches conversations and source material through reme_search with BM25, optional embeddings, and wikilink expansion, and schedules daily memory consolidation.

3,442 Starsagentscope-ai Updated 2026-09-09
Open GitHub repository
ReMe#typescript 项目预览

About this project

Chinese

Connects DeepSeek Harness to ReMe's local-first, self-evolving personal knowledge base: automatically captures completed main-agent conversations as user-owned Markdown memory, searches conversations and source material through reme_search with BM25, optional embeddings, and wikilink expansion, and schedules daily memory consolidation.

English

Connects DeepSeek Harness to ReMe's local-first, self-evolving personal knowledge base: automatically captures completed main-agent conversations as user-owned Markdown memory, searches conversations and source material through reme_search with BM25, optional embeddings, and wikilink expansion, and schedules daily memory consolidation.

Project details & listing signals

Snapshot 2026-09-11
Creator / organization
agentscope-ai
Repository
agentscope-ai/ReMe#typescript
GitHub Stars
3,442
Forks
294
Programming language
Python
License
Apache-2.0
Last push
2026-09-09
Manifest
Declaration found in the catalog

A public repository does not automatically permit commercial use. Check the project's license and compatibility. Manifests and catalog scores are not security certifications.

Catalog score

86/ 100
Maintenance activity
99
Documentation & practical information
85
Community interest
91
Installation signals
55
Project declarations
100

Updated within 2 days in the snapshot; README includes installation and usage instructions; 3,442 stars.

Scores use five dimensions of the catalog snapshot. They are browsing aids, not hands-on reviews or security assessments.

Install & use

The respective GitHub repositories define project information and licensing.

dsh plugin --profile web add github:agentscope-ai/ReMe#path:/typescript

Copying a command does not execute it. Read the repository documentation and check requirements and licensing first.

Project screenshots

Repository README

GitHub 原文

Saved repository documentation. Its capture date was not recorded and it may differ from the catalog description. Check the current repository before installing.

Repository documentation is preserved in its original language.

ReMe for TypeScript agents

中文说明

@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.

ReMe Status in DeepSeek Harness

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

HostEnglish中文
DeepSeek HarnessGuide使用指南
OpenClawGuide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.

Before you begin

Check the current repository for installation, compatible versions and licensing. Stars and catalog scores are snapshot-based browsing signals.

Installation & troubleshooting · 项目问题反馈

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