impossibly 0.1.1

Build, orchestrate and scale agents impossibly fast

Build, orchestrate and scale agents impossibly fast

Documentation | Examples | Discord | GitHub

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Impossibly

Impossibly is a lean Python library for building and orchestrating production AI agents. Declare tools as plain Python functions, keep a tiny dependency footprint, and skip the boilerplate—the stable core ships with first-class multimodal support and built-in tracing so you can ship and debug impossibly fast.

🎯 Why Impossibly?

1. Stable core without surprise breakages.
2. Ultra-lean footprint. No dependency bloat.
3. Declare tools as plain Python functions.
4. Multi-modal out of the box.
5. Powerful agents without the boilerplate. It's time to build impossibly fast.

🚀 Quick Start

from impossibly import Agent, Graph, START, END

# Create an Impossibly agent
agent = Agent(
    client=openai_client,
    model="gpt-4o",
    system_prompt="You are a helpful assistant",
    tools=[web_search, calculator, database]
)

# Build a reasoning workflow
graph = Graph()
graph.add_edge(START, agent)
graph.add_edge(agent, END)

# Execute with autonomous reasoning
result = graph.invoke("Analyze current market trends and provide strategic recommendations")

✨ Core Features

One-line Agent Instantiation

Define agents and the tools available to them in a single object instantiation:

• Native Multi-modal Support: Agents can work with both text and images straight out of the box
• Native Routing: Under-the-hood prompt-injection to ensure intelligent decision making and routing
• Custom Functions: Build functions simply with Python, then connect them as tools to your agents

Graph-Based Orchestration

Agents connected with a visual and intuitive workflow design:

• Conditional Logic: Route based on agent decisions
• Monitoring: Track agent performance and decisions

Tool Integration

Seamless connection to external systems and data with native Python functions:

• User-Created Tools: Connect to any API, service, database and more with self-defined Python functions
• Own Your Tools: Core updates won't break your functions—full control and easy fixes
• Custom Tools: Build domain-specific capabilities with Python

Designed for Multi-Agent Architectures

Specialized agents working together on complex tasks:

• Role-Based Design: Each agent has a specific expertise
• Coordinated Workflows: Agents pass work between each other
• Quality Assurance: Multiple agents validate and improve results
• Scalable Architecture: Add agents as complexity grows

📚 Examples

Explore practical implementations in the /examples directory:

• SQL Agent: Autonomous database analysis with iterative reasoning
• Research Agent: Multi-step research with source validation
• Conversational Agents: Context-aware dialogue systems
• Tool Agents: Specialized agents for specific tasks
• Mixture of Experts: Dynamic agent selection based on task requirements

🛠 Installation

# Base installation
pip install impossibly

# With specific LLM providers only
pip install "impossibly[openai]"
pip install "impossibly[anthropic]"
pip install "impossibly[all]"

# For development & contributions
pip install "impossibly[dev]"

🧪 Testing

# Install with test dependencies
pip install -e ".[test]"

# Run test suite
impossibly run

# Run in Docker
impossibly run --docker

📖 Documentation

Visit impossibly.dev for:

• Complete API documentation
• Agentic AI tutorials and guides
• Framework comparisons (LangGraph, CrewAI, AutoGen)
• Real-world case studies
• Best practices for building reliable agents

🤝 Community

• Discord: Join our community
• GitHub: Contribute to the project
• Documentation: Learn more at impossibly.dev

📄 License

MIT License - see LICENSE for details.

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Ready to build, orchestrate and scale AI agents impossibly fast? Start with the documentation and join the community pushing the boundaries of autonomous AI.