# Agno Adapter

The Agno adapter provides integration with Agno for fast, scalable AI agent workflows.

**Current Status**: Stub implementation (116 lines) - returns simulated results

## Overview

Agno is an experimental AI agent runtime with single and multi-agent systems, memory management, and multi-LLM routing.

## Configuration

```yaml
agno:
  enabled: false  # Experimental - set to true for evaluation
  llm_providers:
    - provider: "ollama"
      model: "llama3"
    - provider: "anthropic"
      model: "claude-3-5-sonnet-20241022"
    - provider: "qwen"
      model: "qwen-free"
```

## Usage

**Note**: Actual functionality not yet implemented - this is a stub adapter.

```bash
# Not yet functional - adapter is stub implementation
mahavishnu workflow sweep --tag backend --adapter agno
```

## Planned Features

- Single and multi-agent systems
- Memory management for agents
- Multi-LLM routing (Ollama, Claude, Qwen)
- Tool integration
- High-performance agent execution
- Agent lifecycle management

## Current Implementation

**Status**: Stub implementation (116 lines)

The adapter currently returns simulated results. Real agent orchestration functionality requires:

- Agno v2.0 integration (released September 2025)
- Agent lifecycle management
- Tool integration
- Multi-LLM routing implementation
- Memory and context management
- Agent coordination

## Experimental Status

Agno is currently in evaluation phase. It is recommended to evaluate Agno v2.0 before production use:

- Released September 2025 as "AgentOS runtime"
- Evolving from framework to runtime
- Consider for experimental projects
- Compare with LangGraph for AI agent workflows

## Estimated Completion Effort

2-3 weeks for full implementation including:

- Agno v2.0 integration
- Agent lifecycle management
- Tool integration
- Multi-LLM routing
- Memory management
- Agent coordination

## Next Steps

1. Evaluate Agno v2.0 capabilities
1. Implement agent lifecycle management
1. Add multi-LLM routing
1. Implement tool integration
1. Add memory and context management
