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AI-powered developer workflows for Claude with cost optimization, multi-agent orchestration, and workflow automation.

Project description

Attune AI

AI-powered developer workflows with cost optimization and intelligent routing.

The easiest way to run code review, debugging, testing, and release workflows from your terminal or Claude Code. Just type /attune and let Socratic discovery guide you. Smart tier routing saves 34-86% on LLM costs.

PyPI Downloads Downloads/month Downloads/week Tests CodeQL Security Python License

pip install attune-ai[developer]

What's New in v3.0.4

  • Updated Model IDs - Registry and examples now use current model IDs (claude-haiku-4-5-20251001, claude-sonnet-4-6, claude-opus-4-6).
  • Plugin v3.0.4 - Marketplace and plugin metadata synced with package version.
  • Version Consistency - Fixed stale v5.0.0 planning references across docs and source.

Why Attune?

Attune AI Agent Frameworks (LangGraph, AutoGen) Coding CLIs (Aider, Codex) Review Bots (CodeRabbit)
Ready-to-use workflows 13 built-in Build from scratch None PR review only
Cost optimization 3-tier auto-routing None None None
Cost in Claude Code $0 for most tasks API costs API costs SaaS pricing
Multi-agent teams 4 strategies Yes No No
MCP integration 18 native tools No No No

Attune is a workflow operating system for Claude — it sits above coding agents and below general orchestration frameworks, providing production-ready developer workflows with intelligent cost routing. Full comparison


Key Features

Claude-Native Architecture

Attune AI is built exclusively for Anthropic/Claude, unlocking features impossible with multi-provider abstraction:

  • Prompt Caching - 90% cost reduction on repeated prompts
  • Flexible Context - 200K via subscription, up to 1M via API for large codebases
  • Extended Thinking - Access Claude's internal reasoning process
  • Advanced Tool Use - Optimized for agentic workflows

Multi-Agent Orchestration

Full support for custom agents, dynamic teams, and Anthropic Agent SDK:

  • Dynamic Team Composition - Build agent teams from templates, specs, or MetaOrchestrator plans with 4 execution strategies (parallel, sequential, two-phase, delegation)
  • 13 Agent Templates - Pre-built archetypes (security auditor, code reviewer, test coverage, etc.) with custom template registration
  • Agent State Persistence - AgentStateStore records execution history, saves checkpoints, and enables recovery from interruptions
  • Workflow Composition - Compose entire workflows into DynamicTeam instances for orchestrated parallel/sequential execution
  • Progressive Tier Escalation - Agents start cheap and escalate only when needed (CHEAP -> CAPABLE -> PREMIUM)
  • Agent Coordination Dashboard - Real-time monitoring with 6 coordination patterns
  • Inter-Agent Communication - Heartbeats, signals, events, and approval gates
  • Quality Gates - Per-agent and cross-team quality thresholds with required/optional gate enforcement

Modular Architecture

Clean, maintainable codebase built for extensibility:

  • Small, Focused Files - Most files under 700 lines; logic extracted into mixins and utilities
  • Cross-Platform CI - Tested on Ubuntu, macOS, and Windows with Python 3.10-3.13
  • 11,000+ Unit Tests - Security, unit, integration, and behavioral test coverage

Intelligent Cost Optimization

  • $0 for most Claude Code tasks - Standard workflows run as skills through Claude's Task tool at no extra cost
  • API costs for large contexts - Tasks requiring extended context (>200K tokens) or programmatic/CI usage route through the Anthropic API
  • Smart Tier Routing - Automatically selects the right model for each task
  • Authentication Strategy - Routes between subscription and API based on codebase size

Socratic Workflows

Workflows guide you through discovery instead of requiring upfront configuration:

  • Interactive Discovery - Asks targeted questions to understand your needs
  • Context Gathering - Collects relevant code, errors, and constraints
  • Dynamic Agent Creation - Assembles the right team based on your answers

Claude Code Plugin

Install the attune-ai plugin in Claude Code for integrated workflow, memory, and orchestration access. The plugin provides the /attune command, 18 MCP tools, and 7 skills. See the plugin/ directory.


Quick Start

1. Install

pip install attune-ai

2. Setup Slash Commands

attune setup

This installs /attune to ~/.claude/commands/ for Claude Code.

3. Use in Claude Code

Just type:

/attune

Socratic discovery guides you to the right workflow.

Or use shortcuts:

/attune debug      # Debug an issue
/attune test       # Run tests
/attune security   # Security audit
/attune commit     # Create commit
/attune pr         # Create pull request

CLI Usage

Run workflows directly from terminal:

attune workflow run release-prep           # 4-agent release readiness check
attune workflow run security-audit --path ./src
attune workflow run test-gen --path ./src
attune telemetry show

Optional Features

Redis-enhanced memory (auto-detected when installed):

pip install 'attune-ai[memory]'
# Redis is automatically detected and enabled — no env vars needed

All features (includes memory, dashboard, agents):

pip install 'attune-ai[all]'

Check what's available:

attune features

See Feature Availability Guide for detailed information about core vs optional features.


Command Hubs

Workflows are organized into hubs for easy discovery:

Hub Command Description
Developer /dev Debug, commit, PR, code review, quality
Testing /testing Run tests, coverage analysis, benchmarks
Documentation /docs Generate and manage documentation
Release /release Release prep, security scan, publishing
Workflows /workflows Automated analysis (security, bugs, perf)
Plan /plan Planning, TDD, code review, refactoring
Agent /agent Create and manage custom agents

Natural Language Routing:

/workflows "find security vulnerabilities"  # → security-audit
/workflows "check code performance"         # → perf-audit
/plan "review my code"                      # → code-review

Cost Optimization

Skills in Claude Code

Most workflows run as skills through the Task tool using your Claude subscription — no additional API costs:

/dev           # Uses your Claude subscription
/testing       # Uses your Claude subscription
/release       # Uses your Claude subscription

When API costs apply: Tasks that exceed your subscription's context window (e.g., large codebases >2000 LOC), or programmatic/CI usage, route through the Anthropic API. The auth strategy automatically handles this routing.

API Mode (CI/CD, Automation)

For programmatic use, smart tier routing saves 34-86%:

Tier Model Use Case Cost
CHEAP Haiku Formatting, simple tasks ~$0.005
CAPABLE Sonnet Bug fixes, code review ~$0.08
PREMIUM Opus Architecture, complex design ~$0.45
# Track API usage and savings
attune telemetry savings --days 30

MCP Server Integration

Attune AI includes a Model Context Protocol (MCP) server that exposes all workflows as native Claude Code tools:

  • 18 Tools Available - 10 workflow tools (security_audit, bug_predict, code_review, test_generation, performance_audit, release_prep, and more) plus 8 memory and context tools
  • Automatic Discovery - Claude Code finds tools via .claude/mcp.json
  • Natural Language Access - Describe your need and Claude invokes the appropriate tool
# Verify MCP integration
echo '{"method":"tools/list","params":{}}' | PYTHONPATH=./src python -m attune.mcp.server

Agent Coordination Dashboard

Real-time monitoring with 6 coordination patterns:

  • Agent heartbeats and status tracking
  • Inter-agent coordination signals
  • Event streaming across agent workflows
  • Approval gates for human-in-the-loop
  • Quality feedback and performance metrics
  • Demo mode with test data generation
# Launch dashboard (requires Redis 7.x or 8.x)
python examples/dashboard_demo.py
# Open http://localhost:8000

Redis 8.4 Support: Full compatibility with RediSearch, RedisJSON, RedisTimeSeries, RedisBloom, and VectorSet modules.


Authentication Strategy

Intelligent routing between Claude subscription and Anthropic API:

# Interactive setup
python -m attune.models.auth_cli setup

# View current configuration
python -m attune.models.auth_cli status

# Get recommendation for a file
python -m attune.models.auth_cli recommend src/module.py

Automatic routing:

  • Small/medium modules (<2000 LOC) → Claude subscription (free)
  • Large modules (>2000 LOC) → Anthropic API (pay for what you need)

Installation Options

# Base install (CLI + workflows)
pip install attune-ai

# Full developer experience (agents, memory, dashboard)
pip install attune-ai[developer]

# With semantic caching (70% cost reduction)
pip install attune-ai[cache]

# Enterprise (auth, rate limiting, telemetry)
pip install attune-ai[enterprise]

# Development
git clone https://github.com/Smart-AI-Memory/attune-ai.git
cd attune-ai && pip install -e .[dev]

What's in each option:

Option What You Get
Base CLI, workflows, Anthropic SDK
[developer] + Multi-agent orchestration, memory, dashboard
[cache] + Semantic similarity caching
[enterprise] + JWT auth, rate limiting, OpenTelemetry

Environment Setup

In Claude Code: No setup needed - uses your Claude subscription.

For CLI/API usage:

export ANTHROPIC_API_KEY="sk-ant-..."  # Required for CLI workflows
export REDIS_URL="redis://localhost:6379"  # Optional: for memory features

Security

  • Path traversal protection on all file operations (_validate_file_path() across 77 modules)
  • JWT authentication with rate limiting
  • PII scrubbing in telemetry
  • GDPR compliance options
  • Automated security scanning with continuous remediation
# Run security audit
attune workflow run security-audit --path ./src

See SECURITY.md for vulnerability reporting.


Documentation


Contributing

See CONTRIBUTING.md for guidelines.


License

Apache License 2.0 - Free and open source. Use it, modify it, build commercial products with it. Details →


Acknowledgements

Special thanks to:

  • Anthropic - For Claude AI and the Model Context Protocol
  • LangChain - Agent framework foundations
  • FastAPI - Modern Python web framework

View Full Acknowledgements →


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