AI coding assistant with programmable workflows
Reliant is a desktop AI coding assistant that goes beyond chat. Interact with your codebase through natural conversation, then extend that interaction with programmable workflows that automate complex, multi-step development tasks.
- Chat with your codebase — AI understands your project structure, reads files, and maintains context across conversations
- Programmable workflows — Define repeatable multi-step processes in YAML, version them with your code
- Multi-agent patterns — Spawn parallel agents, implement debate patterns, or chain specialized agents together
- Git worktrees — Isolate work in separate branches without switching contexts
- Any LLM provider — Anthropic, OpenAI, Google Gemini, GitHub Copilot, AWS Bedrock, Azure, Groq, OpenRouter, and more
- MCP support — Extend capabilities with Model Context Protocol servers
- Config as code — Workflows and presets live in your repo as
.reliant/files
brew install --cask reliant-labs/reliant/reliant| Platform | Download |
|---|---|
| macOS (Apple Silicon) | Reliant-latest-mac-arm64.dmg |
| macOS (Intel) | Reliant-latest-mac-x64.dmg |
| Windows (x64) | Reliant-latest-win-x64.exe |
| Windows (ARM) | Reliant-latest-win-arm64.exe |
| Linux (x86_64) | Reliant-latest-linux-x86_64.AppImage |
| Linux (ARM64) | Reliant-latest-linux-arm64.AppImage |
- Launch Reliant and open a project folder
- Configure an API key in Settings → AI
- Have a Claude Code subscription? Run
claude setup-tokenand use that key with Anthropic
- Have a Claude Code subscription? Run
- Start chatting — ask questions, request changes, explore your codebase
Full documentation at docs.reliantlabs.io
- Quick Start Guide
- Workflows Overview
- Multi-Agent Patterns
- Custom Workflows
- Presets Reference
- MCP Servers
When you send a message, Reliant runs a workflow. The default agent workflow:
Your Message → Call LLM → Execute Tools → Loop while working → Response
The agent reads your codebase, plans changes, implements them, and verifies they work—all within this loop. A single message like "add input validation to the signup form" might trigger dozens of iterations as the agent explores, plans, and implements.
| Mode | Description |
|---|---|
| Auto | Agent works autonomously, auto-approving tool calls |
| Manual | You approve each tool execution |
| Plan | Read-only exploration, outputs a task plan |
Workflows live in .reliant/workflows/*.yaml and are versioned with your code:
name: review-pr
description: Review a pull request
nodes:
- id: analyze
workflow: builtin://agent
inputs:
prompt: "Review the changes in this PR for bugs, security issues, and style"
mode: plan
- id: summarize
workflow: builtin://agent
inputs:
prompt: "Summarize the review findings"We support the latest models from:
| Provider |
|---|
| Anthropic |
| OpenAI |
| GitHub Copilot |
| AWS Bedrock |
| Azure OpenAI |
| Groq |
| OpenRouter |
| Bring Your Own |
You can also configure Reliant to point to your own ChatGPT compatible provider.
- Slack — Get help and share workflows
- GitHub Issues — Report bugs and request features
- Documentation — Guides and reference
See CONTRIBUTING.md for development setup and the contributing/ directory for detailed guides.
Copyright (c) 2026 Reliant Labs, Inc. Licensed under the Business Source License 1.1.
