mikamikasuki/FOREST
FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,783
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 |
FOREST gained 10 stars in the last 30 days, about 1 a day, and now has 106. It is about 1 year old and has averaged roughly 106 stars a year. It ranks #1,783 among Python repositories and #13,937 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#12657
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
FOREST has maintained a continuous presence across global trending indexes, peaking at #12657. Below is the 30-day activity profile:
💡 Overview
FOREST is an open-source project written in Python: FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-scientist, automated-research. 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 FOREST⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
FOREST 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 FOREST.
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 FOREST using your package manager: `pip install FOREST`
Initialize your project workspace or configuration file for FOREST.
Import FOREST into your codebase or invoke it directly from your terminal.
Execute your test suite or run `FOREST --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
mikamikasuki/FOREST is currently ranked #13,937 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #13,878 | ChetasLua/jevmeter | Python | ★ 107 | Compare ↗ |
| #13,878 | tihanyin/REx-skill | Python | ★ 107 | Compare ↗ |
| #13,878 | VectifyAI/jev-doc-search | Python | ★ 107 | Compare ↗ |
| #13,878 | AsherJN/recall | Python | ★ 107 | Compare ↗ |
| #13,878 | LosaLosSantos/aurelio-finance | Python | ★ 107 | Compare ↗ |
| #13,937 | mikamikasuki/FOREST This Project | Python | ★ 106 | |
| #13,937 | lmarlow/gemedit | Ruby | ★ 106 | Compare ↗ |
| #13,937 | sunny/edith | PHP | ★ 106 | Compare ↗ |
| #13,937 | cjbottaro/app_config | Ruby | ★ 106 | Compare ↗ |
| #13,937 | jonleighton/date_input | JavaScript | ★ 106 | Compare ↗ |
| #13,937 | lig/pystardict | Python | ★ 106 | Compare ↗ |
Frequently Asked Questions
What does FOREST do? +
FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
What language is FOREST written in? +
The primary language is Python. Topics include: ai-agents, ai-scientist, automated-research, autoresearch, llm-agents.
Is FOREST actively maintained? +
Yes, the last recorded push was on Oct 7, 2026 with 21 open issues being tracked.
How many stars does FOREST have? +
FOREST has 106 stars and 10 forks on GitHub.
How does FOREST rank among GitHub repositories? +
With 106 stars, mikamikasuki/FOREST is ranked #13,937 globally across all repositories tracked on GitHubRepo and #1,783 among Python projects.
What license is FOREST distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
