Turn world-model imagination into corrective training data for robot policies — a single-GPU, falsifiable pipeline (SmolVLA · LIBERO · CEM · paired simulator replays).
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,972
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
dreamforge gained 10 stars in the last 30 days, about 1 a day, and now has 124. It is about 1 year old and has averaged roughly 124 stars a year. It ranks #1,972 among Python repositories and #15,495 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#14225
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
dreamforge has maintained a continuous presence across global trending indexes, peaking at #14225. Below is the 30-day activity profile:
💡 Overview
dreamforge is an open-source project written in Python: Turn world-model imagination into corrective training data for robot policies — a single-GPU, falsifiable pipeline (SmolVLA · LIBERO · CEM · paired simulator replays).
Engineered for speed, consistency, and developer ease, it solves common hurdles in embodied-ai, imitation-learning, lerobot. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install dreamforge⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
dreamforge coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with dreamforge.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install dreamforge using your package manager: `pip install dreamforge`
Initialize your project workspace or configuration file for dreamforge.
Import dreamforge into your codebase or invoke it directly from your terminal.
Execute your test suite or run `dreamforge --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
rzc156/dreamforge is currently ranked #15,495 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #15,451 | lfdevs/anland-termux | Java | ★ 125 | Compare ↗ |
| #15,451 | antonyshakirov/hop | Swift | ★ 125 | Compare ↗ |
| #15,451 | samhenrigold/LightTouchMac | Swift | ★ 125 | Compare ↗ |
| #15,451 | mitos-editor/mitos | Rust | ★ 125 | Compare ↗ |
| #15,451 | Awakenchan/BloodBorneButPc | C# | ★ 125 | Compare ↗ |
| #15,495 | rzc156/dreamforge This Project | Python | ★ 124 | |
| #15,495 | jdf/peasycam | Java | ★ 124 | Compare ↗ |
| #15,495 | grimen/dry_scaffold | Ruby | ★ 124 | Compare ↗ |
| #15,495 | larrytheliquid/dataflow | Ruby | ★ 124 | Compare ↗ |
| #15,495 | ThomasHabets/injcode | C++ | ★ 124 | Compare ↗ |
| #15,495 | labjack/LabJackPython | Python | ★ 124 | Compare ↗ |
Frequently Asked Questions
What does dreamforge do? +
Turn world-model imagination into corrective training data for robot policies — a single-GPU, falsifiable pipeline (SmolVLA · LIBERO · CEM · paired simulator replays).
What language is dreamforge written in? +
The primary language is Python. Topics include: embodied-ai, imitation-learning, lerobot, libero, pytorch.
Is dreamforge actively maintained? +
Yes, the last recorded push was on Oct 12, 2026 with 0 open issues being tracked.
How many stars does dreamforge have? +
dreamforge has 124 stars and 3 forks on GitHub.
How does dreamforge rank among GitHub repositories? +
With 124 stars, rzc156/dreamforge is ranked #15,495 globally across all repositories tracked on GitHubRepo and #1,972 among Python projects.
What license is dreamforge distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
