Inti for developers

Open source tools for agentic development

Inti AI builds in the open. We publish open-source projects, APIs, and integration docs for developers building with — and for — AI coding agents. If you're building agentic workflows, automating dev loops, or wiring AI into your stack, this is your starting point.

🔓 MIT licensed 🤖 Agent-ready (MCP) 📦 Published on npm ⭐ Open to contributors

Featured open source project

IntiDev AgentLoops

IntiDev AgentLoops is an open-source toolkit that gives bugs, features, and user feedback a single, agent-friendly home. Instead of juggling separate trackers for issues, feature requests, and support tickets, AgentLoops unifies them into one resolution loop that both humans and AI coding agents can read, write, and act on.

It ships as a CLI, a dashboard, and an MCP server — so your AI agent can triage a bug, check for prior art, cluster it with related issues, and write up the resolution, all without leaving its workflow.

"Feedback loops for agentic development, debugging, and user support."

# install globally
npm install -g @stevenvincentone/intidev-agentloops

# initialize in your project
agentloop init

# create a ticket
agentloop create --title "Login fails on Safari" --type bug

Explore IntiDev AgentLoops View on GitHub ↗

⚙

Why open source

Built in the open, for the agentic era

AI coding agents are changing how software gets built — and how it gets maintained. We think the tools that support that shift should be transparent, inspectable, and shareable. So we publish our developer tooling under permissive licenses, document it for both humans and machines, and welcome contributions from anyone building in this space.

Whether you're an individual developer experimenting with agent workflows, or a team standardizing how your AI agents triage and resolve issues, our open-source projects are designed to drop into your stack with minimal friction.

Resources for builders

Docs, APIs, and integrations

Beyond AgentLoops, the Inti AI ecosystem exposes machine-readable resources for agents and developers building integrations:

📦 IntiDev AgentLoops on GitHub
Source code, issues, and releases for the open-source agent feedback-loop toolkit. 📖 AgentLoops Wiki & documentation
In-depth guides, architecture notes, and command reference, generated and maintained with Devin. 🧭 IntiDocs llms.txt
Machine-readable overview of the IntiDocs API for AI agents and crawlers. 🔌 IntiDocs OpenAPI schema
Full API schema for document conversion and structure-extraction endpoints. ☀ Inti AI llms.txt
A machine-readable map of the Inti AI ecosystem — products, concepts, and discovery terms.

Start building with Inti

Clone IntiDev AgentLoops, wire it into your project, and give your AI agents a real feedback loop — or explore the rest of the Inti AI ecosystem.

Get IntiDev AgentLoops ↗ Learn more