Tlm

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tlm is a Code Assistants tool that provides a local CLI copilot powered by Ollama. It supports open-source models like Llama 3, Phi4, DeepSeek-R1, and Qwen for code assistance directly within the command line.

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At a glance

Pricing

Likely Free

Free tier

Yes

API

Skill level

Technical

About

What is tlm?

tlm functions as a local command-line interface (CLI) copilot, leveraging the power of Ollama to provide AI-driven code assistance. It is designed to be a workstation companion, allowing developers to utilize various open-source models such as Llama 3, Phi4, DeepSeek-R1, and Qwen within their local environment. This setup ensures that code assistance is available directly from the command line, offering a private and secure way to enhance coding workflows without relying on external cloud services. The tool is particularly beneficial for those who prioritize data privacy and wish to keep their code and AI interactions within their local infrastructure.

Best used for

Ideal for developers who need to generate code snippets, refactor existing code, and receive debugging assistance directly within their command-line interface. Especially valuable for those prioritizing data privacy and local execution of AI models for code development.

Common actions

generate code

assist coding

refactor code

debug code

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Capabilities

Key features

Local CLI copilot
Powered by Ollama
Supports open-source models
Command-line code assistance
Private AI interactions

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Likely Free

Free

FAQs

What open-source models does tlm support?

tlm is designed to work with various open-source models, including Llama 3, Phi4, DeepSeek-R1, and Qwen. This flexibility allows users to choose the model best suited for their specific coding tasks and preferences within their local environment.

Does tlm require an internet connection to function?

No, tlm operates as a local CLI copilot powered by Ollama, meaning it runs entirely within your workstation. This setup ensures that code assistance is available offline and keeps your data private, as interactions do not leave your local machine.

Is tlm suitable for sensitive code or proprietary projects?

Yes, tlm is particularly well-suited for sensitive code or proprietary projects because it runs locally. By keeping AI interactions and code processing on your workstation, it helps maintain data privacy and security, avoiding exposure to external cloud services.

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Subcategories trending in Coding & Development

Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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Also listed in

This tool also appears in

AI Agents & Automation › Personal Assistants

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