🎥 Demo: Agents.md-first Context

What's in the demo: automatic AGENTS.md generation per repo and an org index that gives any coding agent a precise source of truth. See a sample PR created by the tool.

⚠️ The Problem

AI coding agents excel at greenfield projects (new codebases built from scratch) but struggle with brownfield codebases (mature, production systems with existing code).

Why? They burn most of their context window on exploration—searching files, tracing flows, connecting dots—leaving little capacity for actual implementation. By the time they're ready to code, they've hit the "dumb zone" where performance degrades sharply. And since they lack long-term memory, this cycle repeats with every conversation.

Multi-repo complexity makes it worse. When code is split across connected repositories, the agent exhausts its context just mapping dependencies between codebases—often before writing a single line.

Internal dependencies present another failure mode. The agent has no onboarding to proprietary systems, so it hallucinates usage patterns. Worse, when internal documentation has drifted from actual implementation, the agent trusts those "lies" and produces code that doesn't work.

The end result: slop code requiring heavy rework.

🎯 The Solution

Unoplat Code Confluence is the context engine for application development, organizing precise, up-to-date knowledge of your data models, entry points, endpoints, and more—so coding agents can deliver and maintain features 2–3x faster with higher quality.

AGENTS.md-first Context

Auto-generates machine-readable AGENTS.md files per repo to give coding agents a precise source of truth:

  • Engineering Workflow — Canonical install/build/dev/test/lint/type_check commands plus key config files and their responsibilities
  • Business Logic — Core application logic, domain entities, and database entities
  • Entry Points & Interfaces — Main entry points, API endpoints, and external interfaces
  • External Dependencies — Roles and responsibilities of external libraries

🌟 Core Principles

1. Precision First

2. Context Engineering

  • All important metadata about application—dependencies, inbound/outbound interfaces, domain models, and data store models—are identified and their relationships preserved

3. Enterprise-Grade Scalability, Reliability and Auditability

  • Scalable, auditable and reliable processing powered by workflow orchestrator

🚀 Getting Started

Ready to enhance your development workflow?

Check out our Quick Start Guide.

🧠 Agent Skill

This repository includes a portable agent skill for the Unoplat Code Confluence CLI at skills/unoplat-code-confluence-cli/SKILL.md.

Install it with the skills CLI:

npx skills add https://github.com/unoplat/unoplat-code-confluence --skill unoplat-code-confluence-cli

The skill teaches compatible coding agents how to use ucc from PATH, help users install it with uv tool install "git+https://github.com/unoplat/unoplat-code-confluence.git#subdirectory=unoplat-code-confluence-cli" when needed, ingest repositories, and run the single-command ucc agent-md <repository_git_url> flow.

📊 Project Status

Status Progress

  ALPHA ████████████████░░░░ BETA

For detailed roadmap, language support status, and planned features, see our Product Roadmap.

Maintainers

💬 Product Feedback & Alpha Disclaimer

Unoplat Code Confluence is in alpha. We’re building for our own daily use first, prioritizing stability and bug fixes. We’re collecting feedback now and will act on it once the core is solid. Early adopters welcome. Expect rapid changes and rough edges.

Your feedback is invaluable as we work toward production readiness and helps us prioritize our roadmap to better serve the developer community.

License

Unoplat-CodeConfluence is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0) + COMMONS CLAUSE.