Agen & Multi-Agen

ReMe: Memory Management Kit for Agents

agentscope-ai/reme

ReMe is a local-first memory layer for AI agents that transforms conversations and resources into readable, editable, and searchable Markdown memory files.

★ 3,3KBintang
⑂ 283Fork
35Isu terbuka
PythonBahasa
Apache-2.0Lisensi
Q@project.QualityScoreSkor editorial

Tangkapan layar proyek

Tangkapan layar ReMe: Memory Management Kit for Agents Tangkapan layar ReMe: Memory Management Kit for Agents

Ringkasan

ReMe operates on the principle of 'Memory as File,' converting raw agent dialogs and external resources into structured Markdown files with frontmatter and wikilinks. It continuously indexes, links, and consolidates these files into a self-evolving knowledge base. The system follows a capture, index, consolidate, and recall loop, allowing both human users and AI agents to read and write memory directly. It supports progressive hybrid search combining BM25, wikilinks, and optional embeddings.

Fitur utama

  • Memory as File: Markdown files with frontmatter and wikilinks
  • Self-evolving knowledge base via Auto Memory, Auto Resource, and Auto Dream
  • Progressive hybrid search combining BM25, wikilinks, and embeddings
  • Agent-friendly integration through SKILL.md, CLI, HTTP API, MCP server, and SDK
  • Local-first architecture

Persyaratan, instalasi, dan mulai cepat

Users can install ReMe from PyPI using 'pip install "reme-ai[core]"' or from source by cloning the repository and running 'pip install -e ".[core]"'.

Penggunaan

After installation and setting up the '.env' file with necessary API keys, start the local service with 'reme start'. Users can then write memory nodes using 'reme write', search them with 'reme search', and read them with 'reme read'. Automatic memory consolidation can be triggered using 'reme auto_memory' and 'reme auto_dream'.

Kompatibilitas model dan kasus penggunaan

Not stated in the repository metadata

Catatan lisensi dan risiko

The project is open source under the Apache License 2.0.

Editorial verification 2026-08-09: repository URL, owner, description, license and repository statistics were reviewed. License metadata: Apache-2.0. README was fetched for the channel draft; re-check repository dependencies, releases and model terms before production use.

Rilis dan pemeliharaan

The repository mentions previous versions (0.3.x, 0.2.x, MemoryScope) and notes recent additions such as Cookbooks for Daily Paper and Auto Fin, as well as an experience-driven enhancement method available on arXiv. A related paper was accepted to Findings of ACL 2026.

Firecrawl

firecrawl/firecrawl

★ 161,1KTypeScript

LangChain

langchain-ai/langchain

★ 143,6KPython

RAGFlow

infiniflow/ragflow

★ 86,7KGo