Prescott-Data/jarviscore-framework
JarvisCore is a runtime where AI agents operate as a fleet of equal peers. Agents discover one another by capability, execute tasks from a shared ledger, and authenticate to every external service through a zero-trust broker, never with their own keys.
⚡ Executive Summary & Quick Facts
Authoritative Sourcejarviscore-framework is jarviscore-framework is an open-source project written in Python: JarvisCore is a runtime where AI agents operate as a fleet of equal peers. Agents discover one another by capability, execute tasks from a shared ledger, and authenticate to every external service through a zero-trust broker, never with their own keys..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Prescott-Data/jarviscore-framework has accumulated 203 GitHub stars and 17 forks. It is written in Python, licensed under Apache-2.0, and ranks #19,144 globally. It is actively maintained with the latest commit recorded on Oct 24, 2026.”
| Repository | Prescott-Data/jarviscore-framework ↗ |
|---|---|
| Primary Category | agent framework |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 203 stars · ⑂ 17 forks · #19,144 globally |
| Maintenance | ● Active (Last commit: Oct 24, 2026) · 19 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 AYes, jarviscore-framework is actively maintained. Continuous telemetry recorded the last code commit on Oct 24, 2026 (20 days ago). Supported by 203 stars and 17 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (20 days ago) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,534
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
jarviscore-framework gained 10 stars in the last 30 days, about 1 a day, and now has 203. It is about 1 year old and has averaged roughly 203 stars a year. It ranks #2,534 among Python repositories and #19,144 across all languages on GitHubRepo.
Trending Record
16
DAYS ON TRENDING
#14672
BEST RANK
Oct 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
jarviscore-framework has maintained a continuous presence across global trending indexes, peaking at #14672. Below is the 30-day activity profile:
💡 Overview
jarviscore-framework is an open-source project written in Python: JarvisCore is a runtime where AI agents operate as a fleet of equal peers. Agents discover one another by capability, execute tasks from a shared ledger, and authenticate to every external service through a zero-trust broker, never with their own keys.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-framework, agentic-ai, agents. 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 jarviscore-framework⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
jarviscore-framework 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 jarviscore-framework.
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 jarviscore-framework using your package manager: `pip install jarviscore-framework`
Initialize your project workspace or configuration file for jarviscore-framework.
Import jarviscore-framework into your codebase or invoke it directly from your terminal.
Execute your test suite or run `jarviscore-framework --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
Prescott-Data/jarviscore-framework is currently ranked #19,144 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #19,106 | darksidewalker/ComfyUI-DaSiWa-Nodes | Python | ★ 204 | Compare ↗ |
| #19,106 | artembobkin/ImmersiveMap | Swift | ★ 204 | Compare ↗ |
| #19,106 | veteranbv/inky-bird | Python | ★ 204 | Compare ↗ |
| #19,106 | windcicada/Hundun-Flow | C++ | ★ 204 | Compare ↗ |
| #19,106 | botiverse/oar | TypeScript | ★ 204 | Compare ↗ |
| #19,144 | Prescott-Data/jarviscore-framework This Project | Python | ★ 203 | |
| #19,144 | vigetlabs/jmapping | JavaScript | ★ 203 | Compare ↗ |
| #19,144 | joearms/elib1 | Erlang | ★ 203 | Compare ↗ |
| #19,144 | ecukes/ecukes | Emacs Lisp | ★ 203 | Compare ↗ |
| #19,144 | celery/librabbitmq | C | ★ 203 | Compare ↗ |
| #19,144 | markbates/cover_me | Ruby | ★ 203 | Compare ↗ |
Frequently Asked Questions
What does jarviscore-framework do? +
JarvisCore is a runtime where AI agents operate as a fleet of equal peers. Agents discover one another by capability, execute tasks from a shared ledger, and authenticate to every external service through a zero-trust broker, never with their own keys.
Is jarviscore-framework actively maintained in 2026? +
Yes, jarviscore-framework is actively maintained. The latest code push was recorded on Oct 24, 2026 (20 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 203 stars and 19 open issues.
What language is jarviscore-framework written in? +
The primary language is Python. Topics include: agent-framework, agentic-ai, agents, ai, ai-agents.
How many stars does jarviscore-framework have? +
jarviscore-framework has 203 stars and 17 forks on GitHub.
How does jarviscore-framework rank among GitHub repositories? +
With 203 stars, Prescott-Data/jarviscore-framework is ranked #19,144 globally across all repositories tracked on GitHubRepo and #2,534 among Python projects.
What license is jarviscore-framework distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
