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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.

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.

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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.

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

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• Extensible Language Support: Modular Tree-sitter based grammar extraction delivers consistent, accurate code context across all programming languages
• Extensible Framework-Aware Parsing: Specialized grammar engines recognize framework and library-specific patterns based on project dependencies

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

• Scalable, auditable and reliable processing powered by workflow orchestrator

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Ready to enhance your development workflow?

Check out our Quick Start Guide.

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  ALPHA ████████████████░░░░ BETA

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

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Book a call with me - Cal Link

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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.

• Discord: Join our community channel
• GitHub Issues: Create an issue for bug reports or feature requests
• GitHub Discussions: Start a discussion for broader conversations

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

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

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