buildswithpaul/Frappe_Assistant_Core
Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model
⚡ Executive Summary & Quick Facts
Authoritative SourceFrappe_Assistant_Core is Frappe_Assistant_Core is an open-source project written in Python: Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), buildswithpaul/Frappe_Assistant_Core has accumulated 327 GitHub stars and 199 forks. It is written in Python, licensed under AGPL-3.0, and ranks #13,406 globally. It is actively maintained with the latest commit recorded on Oct 24, 2026.”
| Repository | buildswithpaul/Frappe_Assistant_Core ↗ |
|---|---|
| Primary Category | ai assistant |
| Language & Stack | Python |
| Software License | AGPL-3.0 |
| Community Traction | ★ 327 stars · ⑂ 199 forks · #13,406 globally |
| Maintenance | ● Active (Last commit: Oct 24, 2026) · 5 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: 97/100 · Grade A+Yes, Frappe_Assistant_Core is actively maintained. Continuous telemetry recorded the last code commit on Oct 24, 2026 (9 days ago). Supported by 327 stars and 199 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,734
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +4 | +10 |
Frappe_Assistant_Core gained 10 stars in the last 30 days, about 1 a day, and now has 327. It is about 1 year old and has averaged roughly 327 stars a year. It ranks #1,734 among Python repositories and #13,406 across all languages on GitHubRepo.
Trending Record
9
DAYS ON TRENDING
#12499
BEST RANK
Oct 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Frappe_Assistant_Core has maintained a continuous presence across global trending indexes, peaking at #12499. Below is the 30-day activity profile:
💡 Overview
Frappe_Assistant_Core is an open-source project written in Python: Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-assistant, analytics, automation. 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 Frappe_Assistant_Core⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Frappe_Assistant_Core 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 Frappe_Assistant_Core.
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 Frappe_Assistant_Core using your package manager: `pip install Frappe_Assistant_Core`
Initialize your project workspace or configuration file for Frappe_Assistant_Core.
Import Frappe_Assistant_Core into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Frappe_Assistant_Core --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
buildswithpaul/Frappe_Assistant_Core is currently ranked #13,406 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #13,385 | goruck/home-generative-agent | Python | ★ 328 | Compare ↗ |
| #13,385 | james-gould/azure-keyvault-emulator | C# | ★ 328 | Compare ↗ |
| #13,385 | rikhuijzer/bloglite | Rust | ★ 328 | Compare ↗ |
| #13,385 | MxIris-Reverse-Engineering/MachOSwiftSection | Swift | ★ 328 | Compare ↗ |
| #13,385 | saad-khan-rind/NOSAtmosphereEffect | Kotlin | ★ 328 | Compare ↗ |
| #13,406 | buildswithpaul/Frappe_Assistant_Core This Project | Python | ★ 327 | |
| #13,406 | maccman/acts_as_recommendable | Ruby | ★ 327 | Compare ↗ |
| #13,406 | GNOME/gnome-terminal | C++ | ★ 327 | Compare ↗ |
| #13,406 | SquirrelJME/SquirrelJME | Java | ★ 327 | Compare ↗ |
| #13,406 | artem-sedykh/mini-climate-card | JavaScript | ★ 327 | Compare ↗ |
| #13,406 | ShokoAnime/Shokofin | C# | ★ 327 | Compare ↗ |
Frequently Asked Questions
What does Frappe_Assistant_Core do? +
Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model
Is Frappe_Assistant_Core actively maintained in 2026? +
Yes, Frappe_Assistant_Core is actively maintained. The latest code push was recorded on Oct 24, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 327 stars and 5 open issues.
What language is Frappe_Assistant_Core written in? +
The primary language is Python. Topics include: ai-assistant, analytics, automation, business-intelligence, data-analytics.
How many stars does Frappe_Assistant_Core have? +
Frappe_Assistant_Core has 327 stars and 199 forks on GitHub.
How does Frappe_Assistant_Core rank among GitHub repositories? +
With 327 stars, buildswithpaul/Frappe_Assistant_Core is ranked #13,406 globally across all repositories tracked on GitHubRepo and #1,734 among Python projects.
What license is Frappe_Assistant_Core distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
