aurora-actr 0.9.3

AURORA: Adaptive Unified Reasoning and Orchestration Architecture with MCP Integration

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Planning & Multi-Agent Orchestration

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Summary

Aurora - Memory-aware Planning & Multi-Agent Orchestration Framework

• LLM-agnostic - No API keys, works with 20+ CLI tools (Claude Code, Cursor, Aider, etc.)
• Smart Memory - ACT-R activation decay, BM25, tree-sitter/cAST, git signals
• Memory-Aware Planning - Decompose goals, assign agents, detect capability gaps
• Memory-Aware Research - Multi-agent orchestration with recovery and state
• Task Execution - Stop gates for feature creep and dangerous commands
• Headless Mode - Isolated branch execution with max retries
• Session Checkpoints - Save and resume session context

# PyPI
pip install aurora-actr

# From source
git clone https://github.com/amrhas82/aurora.git
cd aurora && ./install.sh

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Core Features

Smart Memory (Slash Commands)

aur:search - Memory with activation decay from ACT-R. Indexes your code using:

• BM25 - Keyword search
• Git signals - Recent changes rank higher
• Tree-sitter/cAST - Code stored as class/method (Python, TypeScript, Java)
• Markdown indexing - Search docs, save tokens

# Terminal
aur mem index .
aur mem search "authentication"

# Slash command
/aur:search "authentication"
/aur:get 1  # Read chunk

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Memory-Aware Planning (Terminal)

aur goals - Decomposes any goal into subgoals:

1. Looks up existing memory for matches
2. Breaks down into subgoals
3. Assigns your existing subagents to each subgoal
4. Detects capability gaps - tells you what agents to create

Works across any domain (code, writing, research).

$ aur goals "Add payment processing"

Memory matches: 3 files found
Subgoals: 4
  sg-1: Set up Stripe SDK (@code-developer)
  sg-2: Create payment endpoints (@code-developer)
  sg-3: Implement checkout UI (@ui-designer)
  sg-4: Configure PCI compliance (@security-engineer -> NOT FOUND)

Gaps detected:
  - Missing @security-engineer

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Memory-Aware Research (Terminal)

aur soar - Research questions using your codebase:

1. Looks up existing memory for matches
2. Decomposes question into sub-questions
3. Utilizes existing subagents
4. Spawns agents on the fly
5. Simple multi-orchestration with agent recovery (stateful)

aur soar "How does the payment flow work?"

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Task Execution (Terminal)

aur spawn - Takes predefined task list and executes with:

• Stop gates for feature creep
• Dangerous command detection (rm -rf, etc.)
• Budget limits

aur spawn tasks.md --verbose

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Headless Mode (Terminal)

aur headless - Ralph Wiggum mode:

• Runs in isolated branch
• Max retries on failure
• Unattended execution

aur headless prompt.md

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Checkpoints (Slash Command)

aur:checkpoint - Create digest of current session to resume later.

/aur:checkpoint

# Output: .aurora/checkpoints/session-2026-01-15.md
# Contains: goals, progress, decisions, next steps

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Planning Workflow

OpenSpec-based flow from goal to implementation:

Terminal                    Slash Command            Slash Command
┌─────────────────┐        ┌─────────────────┐      ┌─────────────────┐
│   aur goals     │   ->   │  /aur:plan      │  ->  │  /aur:implement │
│   "Add feature" │        │  goals.json     │      │                 │
└─────────────────┘        └─────────────────┘      └─────────────────┘
        │                          │                        │
        v                          v                        v
   goals.json               PRD + tasks.md            Implemented
   - subgoals               - specs/                  - checkpoints
   - agent assignments      - file hints              - validation
   - capability gaps

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Quick Start

# Install
pip install aurora-actr

# Initialize project
cd your-project/
aur init

# Index codebase for memory
aur mem index .

# Plan with memory context
aur goals "Add user authentication"

# In your CLI tool (Claude Code, Cursor, etc.):
/aur:plan goals.json
/aur:implement

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Commands Reference

Command	Type	Description
aur init	Terminal	Initialize Aurora in project
aur doctor	Terminal	Check installation and dependencies
aur mem index .	Terminal	Index codebase
aur mem search "query"	Terminal	Search memory
aur goals "goal"	Terminal	Memory-aware planning
aur soar "question"	Terminal	Memory-aware research
aur spawn tasks.md	Terminal	Execute with safeguards
aur headless prompt.md	Terminal	Unattended execution
/aur:search "query"	Slash	Search indexed memory
/aur:get N	Slash	Read chunk from search
/aur:plan goals.json	Slash	Generate PRD + tasks
/aur:implement	Slash	Execute plan
/aur:checkpoint	Slash	Save session context
/aur:archive plan-id	Slash	Archive completed plan

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Supported Tools

Works with 20+ CLI tools: Claude Code, Cursor, Aider, Cline, Windsurf, Gemini CLI, and more.

aur init --tools=claude,cursor

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Documentation

• Commands Reference
• Tools Guide
• Flows Guide

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License

MIT License - See LICENSE