Open-source tools for AI on Memgraph: persistent agent memory, knowledge graphs, GraphRAG, and integrations for LangChain, LightRAG, and MCP.
⚡ Executive Summary & Quick Facts
Authoritative Sourceai-toolkit is ai-toolkit is an open-source project written in Python: Open-source tools for AI on Memgraph: persistent agent memory, knowledge graphs, GraphRAG, and integrations for LangChain, LightRAG, and MCP..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), memgraph/ai-toolkit has accumulated 118 GitHub stars and 16 forks. It is written in Python, licensed under MIT, and ranks #24,800 globally. It is actively maintained with the latest commit recorded on Nov 4, 2026.”
| Repository | memgraph/ai-toolkit ↗ |
|---|---|
| Primary Category | agent |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 118 stars · ⑂ 16 forks · #24,800 globally |
| Maintenance | ● Active (Last commit: Nov 4, 2026) · 61 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: 93/100 · Grade A+Yes, ai-toolkit is actively maintained. Continuous telemetry recorded the last code commit on Nov 4, 2026 (9 days ago). Supported by 118 stars and 16 community forks, this repository holds a calculated health index of 93/100, 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
#3,448
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 |
ai-toolkit gained 10 stars in the last 30 days, about 1 a day, and now has 118. It is about 2 years old and has averaged roughly 59 stars a year. It ranks #3,448 among Python repositories and #24,800 across all languages on GitHubRepo.
Trending Record
7
DAYS ON TRENDING
#21391
BEST RANK
Nov 4, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ai-toolkit has maintained a continuous presence across global trending indexes, peaking at #21391. Below is the 30-day activity profile:
💡 Overview
ai-toolkit is an open-source project written in Python: Open-source tools for AI on Memgraph: persistent agent memory, knowledge graphs, GraphRAG, and integrations for LangChain, LightRAG, and MCP.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agentic-ai, graph. 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 ai-toolkit⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ai-toolkit 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 ai-toolkit.
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 ai-toolkit using your package manager: `pip install ai-toolkit`
Initialize your project workspace or configuration file for ai-toolkit.
Import ai-toolkit into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ai-toolkit --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
memgraph/ai-toolkit is currently ranked #24,800 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #24,687 | finriderradial/Bunny-Hop-Script | Python | ★ 119 | Compare ↗ |
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| #24,800 | memgraph/ai-toolkit This Project | Python | ★ 118 | |
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Frequently Asked Questions
What does ai-toolkit do? +
Open-source tools for AI on Memgraph: persistent agent memory, knowledge graphs, GraphRAG, and integrations for LangChain, LightRAG, and MCP.
Is ai-toolkit actively maintained in 2026? +
Yes, ai-toolkit is actively maintained. The latest code push was recorded on Nov 4, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 118 stars and 61 open issues.
What language is ai-toolkit written in? +
The primary language is Python. Topics include: agent, agentic-ai, graph, graph-algorithms, knoweldge-graph.
How many stars does ai-toolkit have? +
ai-toolkit has 118 stars and 16 forks on GitHub.
How does ai-toolkit rank among GitHub repositories? +
With 118 stars, memgraph/ai-toolkit is ranked #24,800 globally across all repositories tracked on GitHubRepo and #3,448 among Python projects.
What license is ai-toolkit distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
