What's New

Aden Agent Framework is a Python-based system for building goal-driven, self-improving AI agents that can plan, execute, and adapt their behavior based on real-world outcomes.

Core Features

Goal-Driven Architecture

• Define agent goals with success criteria and constraints
• Automatic validation and testing of agent behavior
• Built-in evaluation framework with constraint and success tests

Flexible Execution Models

• Graph-based execution with dynamic routing
• Worker-Judge loop for adaptive planning
• Human-in-the-loop approval system
• Pause/resume support for long-running workflows

Multi-LLM Support

• LiteLLM integration supporting 100+ LLM providers
• OpenAI, Anthropic, Google Gemini, Mistral, Groq, and local models
• Unified interface with provider-specific optimizations

MCP Tools Integration

• 19 built-in tools for file operations, search, and APIs
• Model Context Protocol (MCP) server support
• Custom tool registration and discovery

Testing & Evaluation

• Goal-based evaluation tests
• Parallel test execution
• Automatic test generation from goals
• Debug tools with categorized failure analysis

Infrastructure Improvements

• Migrated CI/CD from Node.js to Python workflows
• Added ruff linting to maintain code quality
• All 107 tests passing with zero linting errors
• Updated documentation and templates for Python development

Agent Building

Build agents using:

• Interactive CLI (`aden run`)
• Python API with GraphExecutor
• MCP server tools for Claude Desktop integration
• Agent-to-agent orchestration

For documentation, examples, and getting started guides, visit:
https://github.com/adenhq/hive

Using Release Artifact Directly

pip install https://github.com/TimothyZhang7/hive/releases/download/v0.2.0/framework-0.2.0-py3-none-any.whl