Practical overview
When it fits
Use Agentty when you want a terminal-based coding agent that can retrieve focused code and documentation context and work with more than one model provider.
Who it is for
- Developers who want AI-assisted coding from a terminal.
- Teams or individuals who want an agent to retrieve relevant repository passages and project documentation as context.
- Developers choosing among hosted model providers or a local Ollama model.
Documented uses
- Ask an AI agent for help with a codebase from the project terminal.
- Read, write and edit project files using agent tools.
- Search source code and project documentation for relevant context.
- Use shell, Git and task tools as part of coding work.
Requirements & limits
The README documents installation through a shell script and first-launch authentication with a provider API key or Claude Pro/Max OAuth; local Ollama is another route and is described as requiring no key. The repository identifies the project as MIT-licensed and open source.
- The project is a CLI, not a hosted coding workspace.
- The README describes a native static binary with no runtime dependencies.
- Retrieval is local; Ollama on localhost is optional for embeddings, with keyword-search fallback when it is unavailable.
- The documented model choices include hosted providers and local Ollama; provider switching is available in the app.
- The README describes sandboxing on Linux and macOS and an SSH-relayed air-gapped mode; these are project claims, not independent guarantees.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Install Agentty and start it in a project
Set up the CLI and open it from a project directory.
Before you start
- A terminal
- A project directory
- An API key for a hosted provider, Claude Pro/Max OAuth, or a local Ollama model
Steps
Run the README’s install command: curl -fsSL https://raw.githubusercontent.com/1ay1/agentty/master/install.sh | sh
Change into the project directory.
Run agentty and follow the first-launch prompt to provide an API key or choose a documented local Ollama route.
Expected outcome
Agentty opens in the project, ready for an initial coding-agent prompt.
Guide limitations
- The README documents the install and initial launch, but not provider-specific configuration details for every model.
- The local Ollama route is described as requiring no provider key; it depends on a local Ollama model.
Compare options for AI coding assistance
These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Agentty | Ask an AI agent for help with a codebase from the project terminal. | CLI | The README documents installation through a shell script and first-launch authentication with a provider API key or Claude Pro/Max OAuth; local Ollama is another route and is described as requiring no key. The repository identifies the project as MIT-licensed and open source. |
| Llmcode | Inspect a project's directory structure with `/tree`. | CLI | The documented setup requires an API key and supports an API base URL and model setting. The project is open source under Apache-2.0. |
| Klaat Code | Open a project directory for terminal-based coding assistance. | CLI, Server | The README provides a global npm installation command and documents browser sign-in with a KlaatAI account. It also identifies the repository as open source under Apache 2.0. |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 9 October 2026
- Original website title
- 1ay1/agentty · Official homepage title · retained in its source language
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