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Complete the full loop from topic selection to publishing with a single sentence
Click to watch the demo video
Akka (Automated Knowledge & Kontent Assistant) is an open-source self-learning, 24/7 Creator Agent that achieves a complete loop from topic selection to publishing through browser automation, material search, content generation, and content publishing.
Just one instruction, Akka automatically completes:
| Capability | Description |
|---|---|
| 🤖 Automated Browser Operations | Search competitors, collect materials, view data |
| 🔍 Automated Material Search | Intelligently search and organize relevant materials |
| 🎨 Automated Content Generation | Outline planning, copywriting creation, image generation |
| 📤 Automated Publishing | Automatically publish content |
From topic planning to scheduled publishing, let AI Agent boost your social media operation efficiency by 10x, truly achieving "what you think is what you get".
# 1. Clone the project
git clone https://github.com/living-stream/akka.git
cd akka
# 2. Configure API Key
cp config.example.yaml config/config.yaml
# Edit config/config.yaml and fill in your OpenAI API Key
# 3. Start
./start.shVisit http://localhost:3000 to get started!
- Python 3.10+
- Node.js 18+
- Chrome Browser
Option 1: Environment Variables (Recommended)
export OPENAI_API_KEY="your-api-key"
export OPENAI_BASE_URL="https://api.openai.com/v1" # optionalOption 2: Configuration File
llm:
provider: "openai"
api_key: "your-api-key"
model: "gpt-4o"| Feature | Description |
|---|---|
| 💬 Smart Chat | Streaming conversation experience with thinking process display |
| 📝 Workspace | Note card display, image thumbnail preview, click to expand details |
| ⏰ Scheduled Tasks | Create and manage scheduled tasks with real-time status tracking |
| ⚙️ Settings | User persona and memory configuration |
- Fully Automated Creation: Automatically generate complete Xiaohongshu (Little Red Book) image-text notes from a single instruction
- Three-stage Generation Flow: Outline planning → Copywriting creation → Image generation
- Image Generation: Automatically generate supporting images, supporting multiple images
| Skill | Function |
|---|---|
| competitor-benchmarking | Competitor benchmarking analysis |
| content-creation | Content generation (including browser information collection) |
| content-review | Content review analysis |
| inspiration-hunting | Inspiration collection |
| scheduled-task | Scheduled task management |
- Information Collection: Search competitors, collect store information, view account data
- Platform Operations: Support for Xiaohongshu, Dianping and other platforms
- User Isolation: Each user has independent soul.md, memory.md, workspace
- Conversation Memory: Automatically save conversation history, auto-compress when exceeding 20 entries
- Task Lock: Ensure only one task executes at a time for the same user
- Chat Page - Chat with AI assistant, give task instructions
- Workspace - View generated note content, click cards to expand details
- Tasks Page - Manage scheduled tasks, view task status
- Settings Page - Configure user persona and memory
Execute Task:
python master/client.py --uid test_user run "Help me analyze competitors in the coffee sector"More Examples:
# Create scheduled task
python master/client.py --uid test_user run "Help me create a task to publish a coffee post tomorrow at 12pm"
# Generate note
python master/client.py --uid test_user run "Write a note about pour-over coffee"
# Competitor analysis
python master/client.py --uid test_user run "Search for viral notes in the coffee sector on Xiaohongshu, analyze their titles and cover characteristics"Health Check:
python master/client.py healthakka/
├── master/ # Backend core
│ ├── server.py # FastAPI server
│ ├── client.py # Command line client
│ ├── controller.py # CoreController core logic
│ ├── scheduler.py # Scheduled task scheduler
│ └── skills/
│ └── definitions/ # Skill definitions directory
├── web/ # Next.js frontend
│ ├── app/ # Page routes
│ │ ├── chat/ # Chat page
│ │ ├── workspace/ # Workspace page
│ │ ├── tasks/ # Tasks page
│ │ └── settings/ # Settings page
│ ├── components/ # UI components
│ │ ├── ui/ # Basic components
│ │ ├── chat/ # Chat components
│ │ ├── workspace/ # Workspace components
│ │ └── tasks/ # Task components
│ ├── hooks/ # React Hooks
│ ├── store/ # Zustand state management
│ └── lib/ # Utility functions
├── users/ # User data directory
│ └── {uid}/ # User-specific directory
│ ├── soul.md # User persona
│ ├── memory.md # Long-term memory
│ ├── conversation.json # Conversation history
│ ├── tasks.json # Scheduled tasks
│ └── workspace/ # Workspace directory
│ └── {note_folder}/
│ ├── copywriting.md # Note copywriting
│ ├── outline.md # Outline
│ └── images/ # Images
├── agentic_tool/ # Agent tools
│ ├── browser_use_agent/ # Browser automation
│ └── note_generate_agent/ # Content generation
├── llm/ # LLM model factory
├── config/ # Configuration files
└── start.sh # One-click startup script
| Method | Path | Description |
|---|---|---|
| POST | /run |
Execute task (streaming response) |
| GET | /conversation/{uid} |
Get conversation history |
| DELETE | /conversation/{uid} |
Clear conversation history |
| Method | Path | Description |
|---|---|---|
| GET | /workspace/{uid} |
Get note list |
| GET | /workspace/{uid}/notes/{path} |
Get note content |
| GET | /workspace/{uid}/images/{folder}/{name} |
Get note images |
| Method | Path | Description |
|---|---|---|
| POST | /schedule |
Create scheduled task |
| GET | /tasks/{uid} |
Get task list |
| DELETE | /tasks/{uid}/{task_id} |
Cancel task |
| Method | Path | Description |
|---|---|---|
| GET | /user/{uid}/profile |
Get user profile |
| PUT | /user/{uid}/soul |
Update user persona |
| PUT | /user/{uid}/memory |
Update user memory |
Akka is built on the following excellent open-source projects:
- browser-use - Browser automation framework
- LangChain - LLM application development framework
- LangGraph - Multi-agent orchestration framework
- FastAPI - Modern Python web framework
- Next.js - React full-stack framework
Thanks to the developers and communities behind these projects!
If you have any questions or suggestions, feel free to contact us:
- Email: burns@ven-ai.top
MIT License
