Skip to content

VedantJadhav701/antigravity-runtime

Antigravity Runtime: Autonomous Local Execution Infrastructure (v0.1.0)

Website PyPI version GitHub Stars Operational Trust Status

πŸš€ Explore the live operational narrative & Time-Travel Replay showcase: https://agrt.vercel.app/

⭐ Love open-source autonomous systems? Please support us by starring the repository on GitHub and joining our active contributor base!

Antigravity Runtime is an open-source, production-grade, local-first Autonomous Execution Platform. It is engineered for teams that require absolute operational trust, deterministic orchestration, and governed self-healing.

Unlike generic AI assistants, Antigravity Runtime is an Execution Operating System. It doesn't just generate codeβ€”it governs its entire lifecycle, validates its integrity with cryptographic attestation, repairs its failures autonomously, and audits every micro-step via the Replay Engine.


πŸ›οΈ Core Architectural Pillars

1. Deterministic Orchestration (The Kernel)

The Antigravity Kernel maintains absolute authority over all execution cycles. Every task is orchestrated through a 7-step autonomous loop (Scaffold β†’ Bootstrap β†’ Provision β†’ Pre-Flight β†’ Judge β†’ Self-Heal β†’ Delivery), ensuring a predictable path from intent to verified artifact.

2. Time-Travel Replay (The Replay Engine)

Experience absolute observability. Every orchestration task generates a "Flight Log" with sub-millisecond telemetry fidelity. The Replay Engine allows you to scrub through execution timelines, audit autonomous decisions, and inspect confidence evolution in real-time.

3. Infrastructure Governance (Watchdog Sentinel)

Execution is never "unbounded." Our centralized ProcessWatchdog enforces strict, policy-driven timeouts and manages tiered escalation (SIGTERM β†’ SIGKILL), ensuring system stability and preventing resource leakage.

4. Autonomous Recovery (Failure Taxonomy)

When orchestration fails, the system doesn't guess. It classifies errors using a formal Failure Taxonomy and routes them to specialized repairers. Our AST-Aware Patching engine applies deterministic fixes to dependencies, syntax, and configurations.

5. Operational Confidence Scoring

Trust is earned, not assumed. The Confidence Engine quantifies execution reliability based on validation grounding, repair frequency, and environment attestation. Only high-confidence builds (Score > 85) are permitted for delivery.


πŸ”„ The 7-Step Autonomous Loop

Antigravity Runtime orchestrates work through a bulletproof lifecycle:

  1. SCAFFOLD: Template-driven initialization of the execution context.
  2. BOOTSTRAP: Sandbox creation with SHA-256 Cryptographic Attestation.
  3. PROVISION: Atomic dependency injection and AST-aware feature patching.
  4. PRE-FLIGHT: Multi-layer static analysis (Ruff, Syntax) prior to execution.
  5. JUDGE: Multi-vector validation of outputs, artifacts, and exit codes.
  6. SELF-HEAL: Taxonomy-driven autonomous repair cycles.
  7. DELIVERY: High-confidence artifact synchronization to remote infra.

πŸ› οΈ Technology Stack

  • Kernel Core: Python 3.10+ (FastAPI, Pydantic V2, Asyncio)
  • Governance: Psutil-backed ProcessWatchdog
  • Static Analysis: Ruff, LibCST (AST-Aware Patching)
  • Desktop HUD: Tauri, React, Vanilla CSS (High-Performance Replay UX)
  • Local AI: Ollama-integrated Intent Extraction (Qwen2.5-Coder)

πŸš€ Getting Started

Antigravity Runtime is distributed as globally installable infrastructure software.

1. Installation

Install the runtime engine and CLI tools via pip:

pip install agrt

2. Verify Infrastructure

Ensure your local environment and required dependencies (like Ollama) are configured:

agrt doctor

3. CLI Ecosystem

The agrt CLI is the primary entry point for orchestrating autonomous workflows:

# Execute an autonomous template build
agrt run --template fastapi_basic --features uvicorn fastapi

# Validate the technical integrity of artifacts
agrt validate .

# List all autonomous execution sessions
agrt list

# Inspect a specific execution flight log
agrt inspect graph_1778195994

# View granular structured telemetry
agrt logs graph_1778195994

# Run operational performance benchmarks
agrt benchmark

4. SDK Integration

Integrate Antigravity Runtime directly into your infrastructure using the agrt Python SDK:

from agrt import Runtime

# Initialize the Runtime Kernel
runtime = Runtime()

# Dispatch an autonomous task
report = runtime.run(
    task="Build FastAPI backend with JWT auth",
    template="fastapi_basic",
    features=["fastapi", "uvicorn"]
)

print(f"Task ID: {report.task_id} | Success: {report.success}")

5. Desktop Observability (Optional)

The optional React/Tauri Desktop HUD provides a graphical interface for Time-Travel Replay:

cd apps/desktop
npm install && npm run dev

πŸ“ˆ Operational Benchmarks

We prioritize empirical data over marketing hype. Our latest benchmarks show:

  • Recovery Success Rate: 100% for missing dependencies and linter violations.
  • Orchestration Latency: ~1.1s average overhead for the entire 7-step loop.
  • Governance Accuracy: 100% timeout enforcement with zero process leaks.

View full benchmarks in docs/benchmarks.md.


🀝 Contributing & Governance

Antigravity Runtime thrives on community engineering. We welcome contributions across our kernel execution modules, AST parsers, and UI components.

  • Contributing Guide: Review our local development prerequisites, styling criteria, and Conventional Commit pull request standards.
  • Code of Conduct: We maintain a highly professional, inclusive, and safe environment. All community participants are expected to uphold our global standards.

πŸ“œ License

Antigravity Runtime is licensed under the MIT License. Built for the era of Autonomous Infrastructure. πŸš€

About

Production-grade Autonomous Execution Platform. Deterministic local orchestration, self-healing AST patching, Watchdog process governance, and Time-Travel Replay telemetry. πŸš€

Topics

Resources

License

Code of conduct

Contributing

Stars

Watchers

Forks

Packages

 
 
 

Contributors