angel-claw 0.3.0

Angel Claw personal AI agent framework

Angel Claw

A personal AI agent framework based on OpenClaw, using angel-recall for memory and litellm for LLM interactions.

Features

• FastAPI Gateway: HTTP interface for interacting with the agent.
• Agent-Native Memory: Powered by angel-recall, providing long-term, evolvable memory for each session.
• Multi-Model Support: Uses litellm to connect to various providers (OpenAI, Anthropic, Ollama, etc.).
• Lane-Based Isolation: Each session has its own memory vault.

Setup

1. Install dependencies:

   pip install angel-claw
   

2. Configure environment: Copy .env.example to .env and fill in your API keys.

   cp .env.example .env
   

3. Run the gateway:

   angel-claw
   

Usage

For detailed instructions on how to use Angel Claw and its skills system, see the Documentation.

Out-of-the-Box Capabilities

Angel Claw comes pre-loaded with several powerful features. Here are some examples of what you can do:

1. Long-Term Memory

The agent automatically stores and retrieves facts about you.

• Prompt: "Remember that I'm allergic to peanuts."
• Prompt (Later): "What should I avoid at the Thai restaurant?"
• Result: Angel Claw will retrieve your allergy fact and advise you accordingly.

2. Proactive Messaging & Scheduling

Schedule tasks or reminders that the agent will trigger on its own.

• Prompt: "Remind me to check the oven in 20 minutes."
• Prompt: "Every day at 9 AM, check the weather in London and message me if it's raining."
• Prompt: "Schedule a task named 'daily-report' to run 0 18 * * * that summarizes my day."

3. Web Search & Browser Automation

The agent can browse the web to find information or interact with sites.

• Prompt: "Search for the latest news about SpaceX and summarize it."
• Prompt: "Go to https://news.ycombinator.com and tell me the top story."

4. Custom Skill Generation

If Angel Claw doesn't have a tool, it can write one for itself.

• Prompt: "Create a skill called 'currency_converter' that uses an API to convert USD to EUR."

Basic Chat

Send a POST request to /chat:

curl -X POST http://localhost:8000/chat \
     -H "Content-Type: application/json" \
     -d '{"session_id": "user-123", "message": "Hi, I am Alex. Remember that I like Python.", "user_id": "alex"}'

Testing

pytest