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ARIA — Autonomous Reasoning and Intelligent Agent. Your project-aware coding partner.

Project description

◉ ARIA

Autonomous Reasoning and Intelligent Agent

Your project-aware coding partner. Reason before action.

ARIA is an open-source CLI agent that works inside your project boundaries like a senior engineer — it plans before acting, validates its work, remembers context across sessions, and never silently modifies your system.


Website: https://lonerider007.github.io/aria-landing/

ARIA Demo

Benchmark — ARIA vs Aider

Tested on: autonomous production backend build (Node.js + Express + SQLite + JWT + RBAC)

Capability ARIA Aider
Runtime grounding Excellent Weak
Autonomous debugging Excellent Poor
Recovery behavior Excellent Poor
Runtime validation Successful Incomplete
Convergence stability Strong Fragile
Production readiness Near-complete Incomplete

Verdict: ARIA completed the full backend autonomously. Aider got stuck in edit-format desynchronization loops before reaching runtime execution.

Tested on nemotron-3-super:cloud. Both agents given identical task from scratch.


Install

pip install aria-x
aria --model nemotron-3-super:cloud

Requirements: Python 3.10+, Ollama


Demo

◉ aria(my-project) › Build a REST API with FastAPI and test it

─────────────────── Plan ───────────────────
  Goal: Build FastAPI REST API

  1. Scaffold project with venv + git
  2. Write endpoints
  3. Install dependencies in .venv
  4. Run server and test with curl

Proceed? (yes / no / modify): yes

  ◉ Scaffolding 'fastapi-api'...  step 1
  1. new_project  'fastapi-api'

  ◉ Writing main.py...  step 2
  2. write_file  'main.py'

  ◉ Installing fastapi uvicorn...  step 3
  3. run_command  '.venv/bin/pip install -r requirements.txt'
     │ Successfully installed fastapi uvicorn

  ◉ Running tests...  step 4
  4. run_command  'curl http://localhost:8000/health'
     │ {"status":"ok"}

─────────────────── Report ─────────────────
API built and tested. Run: uvicorn main:app --reload

What's New in v1.4.3

  • aria web — access ARIA from any browser on your local network, including phone
  • WebSocket streaming — real-time token streaming in browser, same as terminal
  • Plan approval in browser — approve/reject plans via buttons, no terminal needed
  • Mobile-first UI — dark terminal theme, responsive, works on phone screen
  • Session timeline — live history panel in browser
  • Auto-reconnect — browser reconnects automatically if connection drops
  • Install: pip install aria-x[web]aria web

What's New in v1.4.2

  • Personalized greeting — ARIA shows your last session context on every startup
  • Python 3.14 AST compatibility — detects removed node types (ast.Str, ast.Bytes, ast.Num, ast.NameConstant) before execution
  • Test suite — 9 unit tests for AST validator, all passing
  • Updated dependencies — latest floors for openai, rich, prompt_toolkit, ddgs

What's New in v1.4.1

  • Sandbox mode — isolated workspace for experiments (/sandbox)
  • Web searchsearch_web tool searches DuckDuckGo in real time
  • 8 security & stability bugs fixed — code audit pass
  • Rate limit & 500 error handling — clean messages, auto-retry

What's New in v1.4.0

  • Humanized tool display◉ Writing auth.py... instead of raw tool names
  • Persistent token counter — bottom bar shows ↑ 1.2k tokens · 3 turns · 2m 30s
  • Internet accesssearch_web tool for real-time information
  • Config system — first run saves settings, next run is instant
  • /history, /init, /tokens — new slash commands
  • --quiet mode — hide tool details, show only final report
  • Context auto-trim — prevents context overflow crashes
  • English-only responses — consistent regardless of input language
  • Frozen header — ARIA info stays visible at startup

Features

  • Plan before action — shows what it will do, waits for your approval
  • AST pre-validation — catches errors before running code (no hallucination at this layer)
  • RAG with web search — searches real docs when stuck, not model memory
  • Loop detection — detects repeated failures, pivots to alternative approach
  • Project isolation — all packages go in .venv only, never touches system Python
  • Project memory — remembers stack, decisions, and context across sessions
  • Approval system — asks before dangerous operations
  • Beautiful diffs — shows exactly what changed in every file
  • Live status bar — always know what ARIA is doing

Slash Commands

Command Description
/help Show all commands
/fix Fix bugs in current project
/test Run tests, fix failures
/explain <file> Explain code
/commit Smart git commit
/review Code review
/status Session info
/model <name> Switch model
/memory Show project memory
/projects List all ARIA projects
/exit Exit

Models

aria --model nemotron-3-super:cloud   # Ollama cloud
aria --model devstral-2:123b          # Coding specialist
aria --model llama3.3                 # Local via Ollama
aria --model qwen2.5-coder:32b        # Local coding model

How it works

Clarify → Plan → Approve → Execute → Validate → Remember → Report
  • AST Validator catches errors before execution
  • RAG injects real documentation on errors
  • Loop detector pivots approach after 3 repeated failures
  • Memory persists decisions across sessions

Project Memory

~/.aria/
├── user_memory.json
└── projects/
    └── my-project/
        ├── meta.json      # Stack, status, path
        ├── memory.json    # Key decisions
        └── progress.md   # Milestone history

Built by

Sumit — independent developer
GitHub: Lonerider007
Email: samsungsumitv461@gmail.com


License

ARIA Source by Sumit @ samsungsumitv461@gmail.com

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