AI desktop app for chat, RAG, Skills, MCP tools, and agents. Support multiple LLMs (Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM, Gemini, OpenRouter)
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+13
STARS · LAST 30 DAYS
1
PER DAY
#252
MOST-STARRED Kotlin
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +13 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
askimo gained 13 stars in the last 30 days, about 1 a day, and now has 512. It is about 1 year old and has averaged roughly 512 stars a year. It ranks #252 among Kotlin repositories and #6,338 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#6426
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
askimo has maintained a continuous presence across global trending indexes, peaking at #6426. Below is the 30-day activity profile:
💡 Overview
askimo is an open-source project written in Kotlin: AI desktop app for chat, RAG, Skills, MCP tools, and agents. Support multiple LLMs (Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM, Gemini, OpenRouter).
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-assistant, chat-client. 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 Kotlin 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
$ git clone https://github.com/askimo-ai/askimo.git
cd askimo⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17+, Kotlin compiler >= 1.9
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
askimo coordinates its core functionality through a modular Kotlin 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 askimo.
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 askimo using your package manager: `git clone https://github.com/askimo-ai/askimo.git`
Initialize your project workspace or configuration file for askimo.
Import askimo into your codebase or invoke it directly from your terminal.
Execute your test suite or run `askimo --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Kotlin, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
askimo-ai/askimo is currently ranked #6,338 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,330 | hetznercloud/hcloud-go | Go | ★ 513 | Compare ↗ |
| #6,330 | opentracing-contrib/nginx-opentracing | C++ | ★ 513 | Compare ↗ |
| #6,330 | grafana/terraform-provider-grafana | Go | ★ 513 | Compare ↗ |
| #6,330 | omeka/omeka-s | PHP | ★ 513 | Compare ↗ |
| #6,330 | matecat/MateCat | PHP | ★ 513 | Compare ↗ |
| #6,338 | askimo-ai/askimo This Project | Kotlin | ★ 512 | |
| #6,338 | draganbabic/uni-form | JavaScript | ★ 512 | Compare ↗ |
| #6,338 | antgroup/vsag | C++ | ★ 512 | Compare ↗ |
| #6,338 | moov-io/watchman | Go | ★ 512 | Compare ↗ |
| #6,338 | exoego/rspec-openapi | Ruby | ★ 512 | Compare ↗ |
| #6,338 | gnh1201/welsonjs | JavaScript | ★ 512 | Compare ↗ |
Frequently Asked Questions
What does askimo do? +
AI desktop app for chat, RAG, Skills, MCP tools, and agents. Support multiple LLMs (Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM, Gemini, OpenRouter)
What language is askimo written in? +
The primary language is Kotlin. Topics include: ai, ai-assistant, chat-client, chatgpt, claude-code.
Is askimo actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 13 open issues being tracked.
How many stars does askimo have? +
askimo has 512 stars and 109 forks on GitHub.
How does askimo rank among GitHub repositories? +
With 512 stars, askimo-ai/askimo is ranked #6,338 globally across all repositories tracked on GitHubRepo and #252 among Kotlin projects.
What license is askimo distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
