AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published Jun 7, 2026·Updated Jul 20, 2026
Independently verified against live vendor data on Jul 19, 2026.

Open-source terminal coding agent with self-healing execution. Describe your goal, NOVA writes files, auto-fixes errors, and resolves dependencies. Free tier available, paid from $14/mo.

How we scored it

Autonomy

3/5

Integrations

2/5

Pricing clarity

5/5

Evidence

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Setup

5/5

The facts

NOVA is an open-source terminal-based coding agent built by Bridgeye that positions itself as a self-healing CLI developer. Where most AI coding assistants stop at generating code and leave you to debug the environment, NOVA closes the loop: it writes code, runs it, detects failures, analyzes tracebacks, and applies fixes with your approval rather than requiring you to copy errors into a chat window. The core workflow has four modes. Build: describe your goal in natural language and NOVA writes the files. Run: execute any script with nova run and if it crashes, NOVA analyzes the traceback, identifies the failing file, and proposes a surgical edit. Janitor: refactor any file on demand. Git: commit, push, and pull from inside the terminal. The self-healing execution loop is NOVA's differentiator versus general-purpose AI chat: when a script fails due to a missing dependency, NOVA detects the ImportError, proposes installing the package in your active environment, and re-executes the task once approved. The GitHub README specifies that no file changes or package installations are made without the user's explicit permission. Integration depth is minimal. NOVA operates entirely in the terminal with git integration for version control. There are no IDE plugins, no MCP support, no integrations marketplace, and no team collaboration features. It supports Python 3.10+ and is installable via pip (pip install nova-bridgeye), npm (npm install -g nova-bridgeye), or native macOS and Windows installers. Code is processed through Bridgeye's API and routed to third-party AI providers (Groq, OpenAI, Anthropic, DeepSeek) during active sessions, but is not stored on Bridgeye's servers. Pricing is publicly listed at nova.bridgeye.com/pricing with four self-serve tiers, and annual billing is available at roughly 5% off. Free at $0/month includes 40,000 tokens per day, 25 chat calls, 25 healer runs, and 25 janitor runs. Starter at $14/month includes 100,000 tokens per day, 125 chat calls, 125 healer runs, and 125 janitor runs. Pro at $19/month (marked as most popular) includes 200,000 tokens per day, 250 chat calls, 250 healer runs, and 250 janitor runs. Max at $39/month includes 400,000 tokens per day, 500 chat calls, 500 healer runs, and 500 janitor runs. Who NOVA is not for: developers working on complex multi-file refactoring across large repositories. NOVA's self-healing loop handles single-file errors and dependency issues, but it does not offer the deep contextual reasoning across entire codebases that Cursor ($20/month), Claude Code (usage-based from $20/month), or GitHub Copilot (free tier available, Pro at $10/month) provide. Teams needing code review, pull request automation, or IDE-integrated suggestions should evaluate those more mature alternatives. NOVA's GitHub repository has 3 stars and 3 commits as of this review, indicating very early-stage development: production teams should treat it as experimental. Current state Q3 2026: NOVA launched on Product Hunt with 160 followers and no reviews. The product website at nova.bridgeye.com is live with documentation, a releases page, and a blog, and the top navigation now surfaces a Join Waitlist call to action. The PyPI package (nova-bridgeye) is in public beta. Bridgeye Private Limited is registered in Goa, India. The privacy policy explicitly states that user code is not used to train AI models and that code is not stored on Bridgeye's servers. No G2 or Capterra reviews exist. No third-party security certifications have been confirmed.

Pricing

freemium · $14/mo

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Segment

b2c

Setup

easy

Verified

Jul 19, 2026

Transparency

Public

Contract

Monthly or Annual

Data training

Not Trained

Autonomy

Human Optional

Capabilities

code-generationterminal-agentautonomous

Pros & Limitations

Editorial assessment

Pros

  • NOVA's self-healing execution loop automatically detects runtime failures, analyzes tracebacks, identifies the failing file, and proposes fixes including missing dependency installation, reducing the manual debug cycle that typically requires copying errors between a terminal and an AI chat window.
  • The free tier includes 40,000 tokens per day with 25 healer runs and 25 janitor runs, enough for individual developers to evaluate the tool on real projects before committing to a paid plan starting at $14/month.
  • Installation is frictionless via pip, npm, or native macOS and Windows installers with no account required to start, and the privacy policy confirms that user code is not stored on Bridgeye's servers and is not used to train AI models.

Limitations

  • NOVA's GitHub repository has only 3 stars, 3 commits, and 0 forks, indicating extremely early-stage development with no meaningful community adoption, no contributor ecosystem, and significant risk that the project may not be actively maintained long-term.
  • Integration depth is terminal-only with no IDE plugins for VS Code or JetBrains, no MCP support, no team collaboration features, and no integrations marketplace, limiting NOVA to solo developers comfortable working entirely in the CLI.
  • The self-healing loop handles single-file errors and dependency resolution but lacks the deep multi-file contextual reasoning, codebase-wide refactoring, and pull request automation that more mature alternatives like Cursor, Claude Code, and GitHub Copilot provide at comparable or lower price points.

Technical Details

Deployment
Desktop App
Avg setup timeUnder 5 minutes (pip install nova-bridgeye, begin using immediately)
Autonomous rateNOVA's self-healing loop detects runtime failures, analyzes tracebacks, identifies failing files, and proposes code fixes and dependency installations. The GitHub README states that no file changes or package installations are made without the user's explicit permission.
Integrations
Git

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Transparent PricingListed 2026
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