angel-claw 0.2.0

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.

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