Built something? We create video reels & spotlights for GitHub projects.Promote your project →
dreamscroll-lab
Home / Python / asamana

dreamscroll-lab/asamana

Asamana is an AI-driven emergent narrative engine.

Python ◇ agent Apache-2.0
★102STARS
⑂13FORKS
!0ISSUES
🏆#17,916GLOBAL RANK
🔥1DAYS TRENDING
🚀
Maintainer Growth Kit for asamana

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

Star History

Continuous Observations
Interactive star growth chart for dreamscroll-lab/asamana
CSV
⭐ VIRAL README KIT

Add Live Star History & Verified Badges to README.md

Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

dreamscroll-lab/asamana Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/dreamscroll-lab/asamana.svg?theme=dark)](https://githubrepo.cloud/repo/dreamscroll-lab/asamana?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Shields Badges Shields.io Style

Compact Shields-style badges for your README header. Shows real-time stars and global ranking.

Featured badge Stars badge Rank badge
markdown (badge trio)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/dreamscroll-lab/asamana.svg?metric=featured)](https://githubrepo.cloud/repo/dreamscroll-lab/asamana?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/dreamscroll-lab/asamana.svg?metric=stars)](https://githubrepo.cloud/repo/dreamscroll-lab/asamana?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/dreamscroll-lab/asamana.svg?metric=rank)](https://githubrepo.cloud/repo/dreamscroll-lab/asamana?utm_source=readme_badge)

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,427

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

asamana gained 10 stars in the last 30 days, about 1 a day, and now has 102. It is about 1 year old and has averaged roughly 102 stars a year. It ranks #2,427 among Python repositories and #17,916 across all languages on GitHubRepo.

Trending Record

asamana has maintained a continuous presence across global trending indexes, peaking at #16657. Below is the 30-day activity profile:

💡 Overview

asamana is an open-source project written in Python: Asamana is an AI-driven emergent narrative engine. .

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, asamana, emergent-narrative. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install asamana

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

asamana 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 asamana.

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

1

Install asamana using your package manager: `pip install asamana`

2

Initialize your project workspace or configuration file for asamana.

3

Import asamana into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `asamana --help` to verify successful setup.

👍 Strengths

Active community backing with 102 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

P
public-apis/public-apis ★ 485.9K Python

A collective list of free APIs

Compare ↗
F

:books: Freely available programming books

Compare ↗
P

Curated list of project-based tutorials

Compare ↗
H
NousResearch/hermes-agent ★ 254.4K Python

The agent that grows with you

Compare ↗

👥 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

dreamscroll-lab/asamana is currently ranked #17,916 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,841 madong-code/madong-mono JavaScript ★ 103 Compare ↗
#17,841 drowzeys/keys-Wasserman-Slate-AI-Studio-powered-by-TensorFold-built-with-integrated-Fish-Audio-Drama3 Python ★ 103 Compare ↗
#17,841 ntailio/ntk Go ★ 103 Compare ↗
#17,841 Dweep4269/sideraven Kotlin ★ 103 Compare ↗
#17,841 Danielxu0208/rsi_eval Python ★ 103 Compare ↗
#17,916 dreamscroll-lab/asamana This Project Python ★ 102
#17,916 mbleigh/uberkit Ruby ★ 102 Compare ↗
#17,916 macournoyer/min Java ★ 102 Compare ↗
#17,916 chb/indivo_server Python ★ 102 Compare ↗
#17,916 hoelzro/linotify C ★ 102 Compare ↗
#17,916 dcrec1/acts_as_solr_reloaded Ruby ★ 102 Compare ↗
SPONSORED Trending Developer Tools & Services

Frequently Asked Questions

What does asamana do? +

Asamana is an AI-driven emergent narrative engine.

What language is asamana written in? +

The primary language is Python. Topics include: agent, asamana, emergent-narrative, generative-agents, llm.

Is asamana actively maintained? +

Yes, the last recorded push was on Oct 8, 2026 with 0 open issues being tracked.

How many stars does asamana have? +

asamana has 102 stars and 13 forks on GitHub.

How does asamana rank among GitHub repositories? +

With 102 stars, dreamscroll-lab/asamana is ranked #17,916 globally across all repositories tracked on GitHubRepo and #2,427 among Python projects.

What license is asamana distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.

SPONSORED Sponsored Partner