rizzclaw

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 120)

Go-based AI assistant with auto-summary sessions and BM25+RAG memory system

rizzclaw 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# RizzClaw 🐾

AI-Powered Coding Assistant

## Introduction

RizzClaw is an AI-powered intelligent coding assistant built on [MiniMax](https://www.minimaxi.com/) large language models. It helps developers with various tasks including code writing, debugging, file operations, web search, and more.

## ✨ Core Features

### 🚀 Gateway Multi-Channel Support

RizzClaw 0.2.0 introduces **Gateway Mode**, supporting multiple channels for AI interaction:

- **Feishu (Lark)** - Enterprise instant messaging integration
- **Console** - Command-line interactive mode
- **Extensible Architecture** - Easy to add Telegram, Discord, and more channels

#### Gateway Architecture

```
┌─────────────────────────────────────────┐
│              Gateway                    │
│  ┌─────────┐    ┌──────────────┐       │
│  │ Agent   │◄──►│  MessageBus  │       │
│  │  Loop   │    │              │       │
│  └─────────┘    └──────┬───────┘       │
│         ▲              │                │
│         │         ┌────┴────┐          │
│         │         │ Channels│          │
│         │         ├────┬────┤          │
│         │         │Feishu│Console│      │
│         │         └────┴────┘          │
│         ▲                              │
│    LLM API                             │
└─────────────────────────────────────────┘
```

#### Multi-User Session Isolation

Gateway mode supports multiple users simultaneously, with each user/group having independent conversation context:

```
User A DM → feishu_chat_aaa_user_aaa.jsonl
User B DM → feishu_chat_bbb_user_bbb.jsonl
Group Chat → feishu_group_ccc_user_aaa.jsonl
```

### 🧠 Smart Session Management (Auto-Summary)

RizzClaw features an intelligent session compression mechanism that automatically manages context windows during long conversations:

- **Auto-Compression Trigger**: Compression is triggered when session tokens exceed the threshold (default: 50% of 128K)
- **Smart Summary Generation**: Early conversations are compressed into concise summaries, preserving key information while significantly reducing token usage
- **Configurable Parameters**:
  - `MaxTokens`: Maximum token limit (default: 128000)
  - `MaxHistoryShare`: Maximum share of history messages (default: 0.5)
  - `MinMessagesToKeep`: Number of recent messages to keep (default: 10)
  - `ChunkRatio`: Compression ratio (default: 0.4)

```
┌─────────────────────────────────────────────────────────────┐
│  Session History                                             │
├─────────────────────────────────────────────────────────────┤
│  [Summary] Summary of 50 earlier messages...                │
│  [Summary] Summary of 30 mid-session messages...            │
├─────────────────────────────────────────────────────────────┤
│  [Recent] User: Help me refactor this function              │
│  [Recent] Assistant: Sure, let me help you...               │
│  ...                                                         │
└─────────────────────────────────────────────────────────────┘
```

### 💾 Long-term Memory System (BM25 + RAG)

RizzClaw implements an advanced hybrid retrieval memory system supporting long-term knowledge storage and intelligent recall:

#### Hybrid Retrieval Architecture

```
                    ┌──────────────────┐
                    │   User Query      │
                    └────────┬─────────┘
                             │
              ┌──────────────┼──────────────┐
              ▼              ▼              ▼
     ┌────────────────┐ ┌────────────────┐
     │  Vector Search │ │  BM25 Keyword  │
     │  (Semantic)    │ │  (Exact Match) │
     └───────┬────────┘ └───────┬────────┘
             │                  │
             │    ┌─────────────┘
             ▼    ▼
     ┌────────────────────┐
     │   Score Fusion     │
     │  Vector: 0.7       │
     │  Keyword: 0.3      │
     └─────────┬──────────┘
               ▼
     ┌────────────────────┐
     │   MMR Reranking    │
     │   (Optional)       │
     └─────────┬──────────┘
               ▼
     ┌────────────────────┐
     │   Temporal Decay   │
     │   (Optional)       │
     └─────────┬──────────┘
               ▼
         Final Results
```

#### Core Technologies

| Technology | Description |
|------------|-------------|
| **BM25 Full-text Search** | Built on SQLite FTS5, supports Chinese and English keyword search with precise matching of key terms in user queries |
| **Vector Semantic Search** | Supports embedding model integration for semantic-level similarity search, understanding query intent beyond keyword matching |
| **Hybrid Score Fusion** | Vector search weight 0.7 + keyword search weight 0.3, fully customizable |
| **MMR Diversity Reranking** | Maximal Marginal Relevance algorithm avoids overly similar results, improving information coverage |
| **Temporal Decay** | Based on exponential decay function, older memories have lower weights with default 30-day half-life |
| **Evergreen Memory** | Memories marked as Evergreen never decay, ideal for storing user preferences, project context, and other long-term information |

#### Memory Storage

```go
type MemoryEntry struct {
    ID          string    // Unique identifier
    Content     string    // Memory content
    Embedding   []float32 // Vector embedding
    Keywords    []string  // Extracted keywords
    Source      string    // Source (e.g., "MEMORY.md", "conversation")
    CreatedAt   time.Time // Creation timestamp
    IsEvergreen bool      // Whether it's an evergreen memory
}
```

#### Search Configuration

```go
type SearchOptions struct {
    MaxResults     int     // Maximum number of results (default: 6)
    MinScore       float64 // Minimum score threshold (default: 0.35)
    VectorWeight   float64 // Vector search weight (default: 0.7)
    KeywordWeight  float64 // Keyword search weight (default: 0.3)
    UseMMR         bool    // Enable MMR (default: false)
    MMRLambda      float64 // MMR relevance weight (default: 0.7)
    TemporalDecay  bool    // Enable temporal decay (default: true)
    HalfLifeDays   float64 // Temporal decay half-life (default: 30 days)
}
```

### 🛠️ Other Features

- 🤖 **AI-Powered** - Built on advanced MiniMax M2.1/M2.5 large language models
- 📁 **Rich Tools** - Built-in file operations, code execution, web search, and more
- ⚡ **Skills System** - Compatible with [skills.sh](https://skills.sh/) ecosystem, load custom skill extensions

### 🎯 Skills System

RizzClaw supports the [skills.sh](https://skills.sh/) ecosystem, allowing you to extend AI capabilities with modular skill packages.

#### Installing Skills

```bash
# Install a skill globally
npx skills add vercel-labs/agent-skills

# Install a skill for current project
npx skills add vercel-labs/agent-skills --local
```

#### Skills Loading Paths

Skills are automatically loaded from the following directories (in priority order):

| Priority | Path | Description |
|----------|------|-------------|
| 1 | `./.rizzclaw/skills/` | Project custom skills |
| 2 | `./skills/` | Project skills |
| 3 | `./.agents/skills/` | Project-level skills (npx skills add --local) |
| 4 | `~/.rizzclaw/skills/` | User custom skills |
| 5 | `~/.agents/skills/` | Global skills (npx skills add) |

#### Skills CLI Commands

```bash
# List all skills
rizzclaw skills list

# List only eligible skills (enabled + dependencies met)
rizzclaw skills list --eligible

# Show skill details
rizzclaw skills info <skill-id>

# Enable/disable a skill
rizzclaw skills enable <skill-id>
rizzclaw skills disable <skill-id>

# Check skill dependencies
rizzclaw skills check [skill-id]

# Reload skills from disk
rizzclaw skills reload
```

#### Skill File Format (SKILL.md)

```yaml
---
name: my-skill
description: "Description of what this skill does"
version: "1.0.0"
author: YourName
emoji: "🚀"
when: "When to use this skill"
tags:
  - tag1
  - tag2
requires:
  bins:
    - git
  env:
    - GITHUB_TOKEN
---

# Skill Instructions

Detailed instructions for the AI agent...
```

#### Dependency Checking

Skills can declare dependencies that are checked at runtime:

- `requires.bins` - Required binaries (all must be available)
- `requires.anyBins` - Alternative binaries (at least one must be available)
- `requires.env` - Required environment variables
- `os` - Supported operating systems

Skills with unmet dependencies are automatically excluded from the prompt.

### 🔍 Web Search

- **DuckDuckGo Integration** - Uses DuckDuckGo HTML search instead of Bing for better accessibility
- **Proxy Support** - Automatically reads proxy configuration from environment variables:
  - `HTTP_PROXY` / `http_proxy` - HTTP proxy
  - `HTTPS_PROXY` / `https_proxy` - HTTPS proxy
  - `NO_PROXY` / `no_proxy` - Bypass proxy for specific hosts

## Tech Stack

- **Language**: Go 1.23+
- **CLI Framework**: [Cobra](https://github.com/spf13/cobra)
- **Configuration**: [Viper](https://github.com/spf13/viper)
- **Database**: SQLite3 (memory storage)
- **Full-text Search**: SQLite FTS5 (BM25)
- **LLM Provider**: MiniMax API

## Quick Start

### Screenshot

### Installation

```bash
# Clone the project
git clone https://github.com/hoorayman/rizzclaw.git
cd rizzclaw

# Build
go build -o rizzclaw ./main.go

# Run
./rizzclaw chat
```

### Configuration

1. Copy the example config file:

```bash
cp config.example.json ~/.rizzclaw/config.json
```

2. Edit `config.json` and add your MiniMax API Key:

```json
{
  "models": {
    "mode": "merge",
    "providers": {
      "minimax": {
        "baseUrl": "https://api.minimaxi.com/anthropic",
        "apiKey": "API_KEY",
        "api": "anthropic-messages",
        "models": [
          {
            "id": "MiniMax-M2.1",
            "name": "MiniMax M2.1",
            "reasoning": false,
            "input": ["text"],
            "cost": {
              "input": 0.3,
              "output": 1.2,
              "cacheRead": 0.03,
              "cacheWrite": 0.12
            },
            "contextWindow": 200000,
            "maxTokens": 8192
          },
          {
            "id": "MiniMax-M2.1-lightning",
            "name": "MiniMax M2.1 Lightning",
            "reasoning": false,
            "input": ["text"],
            "cost": {
              "input": 0.3,
              "output": 1.2,
              "cacheRead": 0.03,
              "cacheWrite": 0.12
            },
            "contextWindow": 200000,
            "maxTokens": 8192
          },
          {
            "id": "MiniMax-M2.5",
            "name": "MiniMax M2.5",
            "reasoning": true,
            "input": ["text"],
            "cost": {
              "input": 0.3,
              "output": 1.2,
              "cacheRead": 0.03,
              "cacheWrite": 0.12
            },
            "contextWindow": 200000,
            "maxTokens": 8192
          },
          {
            "id": "MiniMax-M2.5-Lightning",
            "name": "MiniMax M2.5 Lightning",
            "reasoning": true,
            "input": ["text"],
            "cost": {
              "input": 0.3,
              "output": 1.2,
              "cacheRead": 0.03,
              "cacheWrite": 0.12
            },
            "contextWindow": 200000,
            "maxTokens": 8192
          },
          {
            "id": "MiniMax-VL-01",
            "name": "MiniMax VL 01",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": {
              "input": 0.3,
              "output": 1.2,
              "cacheRead": 0.03,
              "cacheWrite": 0.12
            },
            "contextWindow": 200000,
            "maxTokens": 8192
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "minimax/MiniMax-M2.5": {
          "primary": "minimax/MiniMax-M2.5",
          "alias": "Minimax"
        }
      },
      "timeout": 120
    }
  }
}
```

### Usage

```bash
# Show help
rizzclaw --help

# Start interactive chat (Console mode)
rizzclaw chat

# Start Gateway service
rizzclaw gateway

# Start Gateway in debug mode (show message logs)
rizzclaw gateway -d

# List available models
rizzclaw models

# Show current configuration
rizzclaw config show

# Skills management
rizzclaw skills list # List all skills
rizzclaw skills list --eligible # List eligible skills only
rizzclaw skills info <skill-id> # Show skill details
rizzclaw skills enable <skill-id> # Enable a skill
rizzclaw skills disable <skill-id># Disable a skill
rizzclaw skills check # Check skill dependencies
rizzclaw skills reload # Reload skills from disk
```

### Interactive Commands

In chat mode, the following commands are available:

| Command | Description |
|---------|-------------|
| `/exit` or `/quit` | Exit the conversation |
| `/clear` | Clear current session history |
| `/help` | Show help information |

### Feishu Integration

1. Create an enterprise app on Feishu Open Platform and obtain App ID and App Secret

2. Add Feishu configuration to `config.json`:

```json
{
  "channels": {
    "feishu": {
      "enabled": true,
      "app_id": "cli_xxxxxxxx",
      "app_secret": "xxxxxxxx",
      "encrypt_key": "optional",
      "verification_token": "optional",
      "allow_from": []
    }
  }
}
```

3. Start the Gateway service:

```bash
rizzclaw gateway
```

4. Search for your app in Feishu and start chatting

#### Feishu Conversation Examples

## Project Structure

```
rizzclaw/
├── cmd/                # CLI command entry
│   ├── root.go         # Root command and chat command
│   ├── gateway.go      # Gateway command
│   └── skills.go       # Skills management commands
├── internal/           # Internal packages
│   ├── agent/          # Agent core logic
│   │   ├── agent.go    # Agent implementation
│   │   └── session.go  # Session management
│   ├── llm/            # LLM client abstraction
│   ├── tools/          # Tool collection
│   ├── skills/         # Skills system
│   │   ├── loader.go   # Skill loader (SKILL.md parser)
│   │   └── registry.go # Skill registry & dependency checking
│   ├── context/        # Context management
│   │   ├── manager.go  # Context manager
│   │   ├── session.go  # Session storage & compression
│   │   ├── memory.go   # Memory storage & retrieval
│   │   └── types.go    # Type definitions
│   ├── minimax/        # MiniMax API integration
│   └── config/         # Configuration management
├── docs/               # Documentation resources
│   └── pics/           # Image resources
└── main.go             # Program entry point
```

## Supported Models

| Model Name | Type | Context Window | Max Output |
|------------|------|----------------|------------|
| MiniMax-M2.1 | Text | 200K | 8K |
| MiniMax-M2.1-lightning | Text | 200K | 8K |
| MiniMax-M2.5 | Reasoning | 200K | 8K |
| MiniMax-M2.5-Lightning | Reasoning | 200K | 8K |
| MiniMax-VL-01 | Multimodal | 200K | 8K |

## Data Storage Location

All data is stored in the `.rizzclaw` folder in the user's home directory:

```
~/.rizzclaw/
├── config.json        # Configuration file
├── memory.db          # Memory database (SQLite)
├── sessions/          # Session storage
│   └── session-*.jsonl
├── workspace/         # Context files
│   ├── MEMORY.md      # Long-term memory
│   ├── USER.md        # User preferences
│   └── ...
└── skills/            # Skills registry
    └── skills.json    # Skills state (enabled/disabled)

~/.agents/skills/      # Global skills (npx skills add)
├── skill-a/
│   └── SKILL.md
└── skill-b/
    └── SKILL.md
```

## License

MIT License - See [LICENSE](LICENSE) file for details

---

Made with ❤️ by RizzClaw

rizzclaw

rizzclaw 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

rizzclaw

rizzclaw 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README