rsclaw-ai/rsclaw

Registry 信息

项目简介

RSCLAW 是一个基于 Rust 构建的 AI 智能体引擎，具备长期记忆与自我学习能力，并支持一键从 OpenClaw 迁移。

要点

• 长期记忆，保持持久上下文
• 自我学习能力，实现自适应行为
• 一键从 OpenClaw 迁移
• 基于 Rust 构建，高性能且安全
• 专为自主任务设计的智能体引擎

使用场景

• 构建具备记忆能力的自主 AI 智能体
• 无缝迁移现有 OpenClaw 项目
• 开发自我改进的 AI 系统
• 创建持久对话智能体
• 驱动自适应自动化工作流

README 摘要

# RsClaw > **An AI agent engine that remembers — and gets better the more you use it.** > One 15MB binary · 13 channels · 15 LLM providers · Multi-backend agents · OpenCLI-ready · Built in pure Rust. [](https://github.com/rsclaw-ai/rsclaw/stargazers) [](https://crates.io/crates/rsclaw) [](https://github.com/rsclaw-ai/rsclaw/releases) [](https://crates.io/crates/rsclaw) [](#license) [](https://www.rust-lang.org/) **🇺🇸 English** · [🇨🇳 中文](docs/lang/README_cn.md) · [🇯🇵 日本語](docs/lang/README_ja.md) · [🇰🇷 한국어](docs/lang/README_ko.md) · [More languages ▾](docs/lang/) <p align="center"> <img src="docs/images/en.gif" alt="RsClaw Preview" width="800" /> </p> Most AI agents forget everything between sessions. Every new conversation starts from zero — your preferences, your context, your workflow, all gone. **RsClaw doesn't forget.** Built from scratch in Rust, RsClaw (Crab AI / 螃蟹 AI) persists every interaction through a three-layer memory store (redb + tantivy + hnsw_rs), learns from your usage patterns, and ships as a single 15MB binary running on ~20MB RAM. Four agent lifetime modes (Main/Named/Sub/Task), cap-protocol coding-agent integration (Claude Code/OpenClaude/OpenCode/Codex via `tool_cap`), 13 messaging channels, 15 LLM providers, A2A cross-machine orchestration — all without a line of Node.js. Drop-in OpenClaw replacement. 💬 [

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