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ascending-llc/jarvis-registry

Connect any AI copilot or autonomous agent to your enterprise tools — through a single, secure MCP/Agent gateway with built-in identity, access control, and full observability.

Python ◇ agent Apache-2.0
★3.6KSTARS
⑂546FORKS
!3ISSUES
🏆#3,317GLOBAL RANK
🔥28DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

jarvis-registry is jarvis-registry is an open-source project written in Python: Connect any AI copilot or autonomous agent to your enterprise tools — through a single, secure MCP/Agent gateway with built-in identity, access control, and full observability..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), ascending-llc/jarvis-registry has accumulated 3,589 GitHub stars and 546 forks. It is written in Python, licensed under Apache-2.0, and ranks #3,317 globally. It is actively maintained with the latest commit recorded on Oct 15, 2026.”
Repository ascending-llc/jarvis-registry ↗
Primary Category agent
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 3.6K stars · ⑂ 546 forks · #3,317 globally
Maintenance ● Active (Last commit: Oct 15, 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: 92/100 · Grade A
✅
Is jarvis-registry actively maintained in 2026?
Verdict: Actively Maintained

Yes, jarvis-registry is actively maintained. Continuous telemetry recorded the last code commit on Oct 15, 2026 (16 days ago). Supported by 3,589 stars and 546 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (16 days ago) and healthy issue cadence.

Commit Recency
Oct 15, 2026
16 days since last push
Issue Backlog
3 Open Issues
Healthy Issue Cadence
Community Backing
546 Forks
3.6K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for ascending-llc/jarvis-registry
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Momentum

+328

STARS · LAST 30 DAYS

11

PER DAY

#490

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+328+990
Per day11111
Forks gained+0+57+27

jarvis-registry gained 328 stars in the last 30 days, about 11 a day, and now has 3.6K. It is about 1 year old and has averaged roughly 3.6K stars a year. It ranks #490 among Python repositories and #3,317 across all languages on GitHubRepo.

Trending Record

jarvis-registry has maintained a continuous presence across global trending indexes, peaking at #160. Below is the 30-day activity profile:

💡 Overview

jarvis-registry is an open-source project written in Python: Connect any AI copilot or autonomous agent to your enterprise tools — through a single, secure MCP/Agent gateway with built-in identity, access control, and full observability.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agent-gateway, agent-orchestration. 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 jarvis-registry

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

jarvis-registry 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 jarvis-registry.

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 jarvis-registry using your package manager: `pip install jarvis-registry`

2

Initialize your project workspace or configuration file for jarvis-registry.

3

Import jarvis-registry into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 3,261 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

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👥 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

ascending-llc/jarvis-registry is currently ranked #3,317 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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#3,315 argoproj/argo-rollouts Go ★ 3.6K Compare ↗
#3,316 mustbeperfect/definitive-opensource Python ★ 3.6K Compare ↗
#3,317 ascending-llc/jarvis-registry This Project Python ★ 3.6K
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Frequently Asked Questions

What does jarvis-registry do? +

Connect any AI copilot or autonomous agent to your enterprise tools — through a single, secure MCP/Agent gateway with built-in identity, access control, and full observability.

Is jarvis-registry actively maintained in 2026? +

Yes, jarvis-registry is actively maintained. The latest code push was recorded on Oct 15, 2026 (16 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 3,589 stars and 3 open issues.

What language is jarvis-registry written in? +

The primary language is Python. Topics include: agent, agent-gateway, agent-orchestration, mcp, mcp-gateway.

How many stars does jarvis-registry have? +

jarvis-registry has 3,589 stars and 546 forks on GitHub.

How does jarvis-registry rank among GitHub repositories? +

With 3,589 stars, ascending-llc/jarvis-registry is ranked #3,317 globally across all repositories tracked on GitHubRepo and #490 among Python projects.

What license is jarvis-registry distributed under? +

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

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