Built something? We create video reels & spotlights for GitHub projects.Promote your project →
SynaLinks
Home / Python / synalinks

SynaLinks/synalinks

Keras based framework for neuro-symbolic LM systems

Python ◇ context-engineering Apache-2.0
★464STARS
⑂46FORKS
!3ISSUES
🏆#12,823GLOBAL RANK
🔥17DAYS TRENDING
🚀
Maintainer Growth Kit for synalinks

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

Claim Repo

⚡ Executive Summary & Quick Facts

Authoritative Source

synalinks is synalinks is an open-source project written in Python: Keras based framework for neuro-symbolic LM systems..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), SynaLinks/synalinks has accumulated 464 GitHub stars and 46 forks. It is written in Python, licensed under Apache-2.0, and ranks #12,823 globally. It is actively maintained with the latest commit recorded on Oct 23, 2026.”
Repository SynaLinks/synalinks ↗
Primary Category context engineering
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 464 stars · ⑂ 46 forks · #12,823 globally
Maintenance ● Active (Last commit: Oct 23, 2026) · 3 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is synalinks actively maintained in 2026?
Verdict: Actively Maintained

Yes, synalinks is actively maintained. Continuous telemetry recorded the last code commit on Oct 23, 2026 (20 days ago). Supported by 464 stars and 46 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (20 days ago) and healthy issue cadence.

Commit Recency
Oct 23, 2026
20 days since last push
Issue Backlog
3 Open Issues
Healthy Issue Cadence
Community Backing
46 Forks
464 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for SynaLinks/synalinks
CSV
⭐ VIRAL README KIT & BACKLINKS

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.

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

Compact badges for your README header. Real-time stars, velocity, health audit, and rank.

Featured badge Stars badge Velocity badge Health badge Rank badge
markdown (all 5 badges)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/SynaLinks/synalinks.svg?metric=featured)](https://githubrepo.cloud/repo/SynaLinks/synalinks?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/SynaLinks/synalinks.svg?metric=stars)](https://githubrepo.cloud/repo/SynaLinks/synalinks?utm_source=readme_badge) [![GitHubRepo Velocity](https://githubrepo.cloud/badge/SynaLinks/synalinks.svg?metric=velocity)](https://githubrepo.cloud/repo/SynaLinks/synalinks?utm_source=readme_badge) [![Maintenance Health](https://githubrepo.cloud/badge/SynaLinks/synalinks.svg?metric=health)](https://githubrepo.cloud/repo/SynaLinks/synalinks?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/SynaLinks/synalinks.svg?metric=rank)](https://githubrepo.cloud/repo/SynaLinks/synalinks?utm_source=readme_badge)

Momentum

+12

STARS · LAST 30 DAYS

1

PER DAY

#1,740

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+12+90
Per day111
Forks gained+0+3+10

synalinks gained 12 stars in the last 30 days, about 1 a day, and now has 464. It is about 2 years old and has averaged roughly 232 stars a year. It ranks #1,740 among Python repositories and #12,823 across all languages on GitHubRepo.

Trending Record

synalinks has maintained a continuous presence across global trending indexes, peaking at #11128. Below is the 30-day activity profile:

💡 Overview

synalinks is an open-source project written in Python: Keras based framework for neuro-symbolic LM systems.

Engineered for speed, consistency, and developer ease, it solves common hurdles in context-engineering, in-context-learning, in-context-reinforcement-learning. 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 synalinks

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

synalinks 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 synalinks.

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 synalinks using your package manager: `pip install synalinks`

2

Initialize your project workspace or configuration file for synalinks.

3

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

4

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

👍 Strengths

Active community backing with 464 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 ★ 497.3K 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 ★ 257.2K 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

SynaLinks/synalinks is currently ranked #12,823 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,809 AudioBooth/AudioBooth Swift ★ 465 Compare ↗
#12,809 openJiuwen-ai/agent-core Python ★ 465 Compare ↗
#12,809 moznion/cccc Rust ★ 465 Compare ↗
#12,809 xiaozhou26/Chromix Python ★ 465 Compare ↗
#12,809 darkxex/ProsperoStore C++ ★ 465 Compare ↗
#12,823 SynaLinks/synalinks This Project Python ★ 464
#12,823 myabc/markdownj Java ★ 464 Compare ↗
#12,823 filewatcher/filewatcher Ruby ★ 464 Compare ↗
#12,823 pyushkevich/itksnap C++ ★ 464 Compare ↗
#12,823 martin-georgiev/postgresql-for-doctrine PHP ★ 464 Compare ↗
#12,823 aws/constructs TypeScript ★ 464 Compare ↗
SPONSORED Trending Developer Tools & Services

Frequently Asked Questions

What does synalinks do? +

Keras based framework for neuro-symbolic LM systems

Is synalinks actively maintained in 2026? +

Yes, synalinks is actively maintained. The latest code push was recorded on Oct 23, 2026 (20 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 464 stars and 3 open issues.

What language is synalinks written in? +

The primary language is Python. Topics include: context-engineering, in-context-learning, in-context-reinforcement-learning, language-model, llmops.

How many stars does synalinks have? +

synalinks has 464 stars and 46 forks on GitHub.

How does synalinks rank among GitHub repositories? +

With 464 stars, SynaLinks/synalinks is ranked #12,823 globally across all repositories tracked on GitHubRepo and #1,740 among Python projects.

What license is synalinks 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