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How I burned 389K Claude Code cache-creation tokens before the real prompt
Forge is an open-source Claude Code plugin (MIT) that adds governance to multi-agent AI coding workflows. 22 specialized agents, file locking, drift detection, knowledge capture, automated quality gates.
4,590 tests. Rust orchestrator + React dashboard + Claude Code plugin system.
Demo: https://youtu.be/4yRYimZYzBw Site: https://forge.nxtg.ai
Forge – OSS governance plugin for Claude Code (22 agents, SDD, quality gates)
Show HN: Atlas – Portfolio health dashboard for multi-repo teams (Python CLI)
https://github.com/nxtg-ai/repoatlas
I manage 8+ mixed repos (prod, dev, poc) across Python, TypeScript, and Rust. Every dev tool I use -- Cursor, Copilot, Claude Code -- is great inside a single repo. But none of them answer the cross-cutting questions:Which repos have zero tests? - Are my React versions consistent across 3 frontends? - Which project hasn't been committed to in weeks? - Where am I duplicating FastAPI patterns...
I ran into repeated issues with agents editing the same files, losing decisions, and drifting away from the spec. I ended up building a small Rust MCP server that adds task claiming, file-level locking, and drift checks against SPEC.md.
It’s intentionally boring infrastructure… single binary, file-based state, deterministic orchestration. The AI tools stay interchangeable.
Repo if anyone’s curious: https://github.com/nxtg-ai/forge-orchestrator
Show HN: Forge – 3MB Rust binary that coordinates multi-AI coding agents via MCP
https://github.com/nxtg-ai/forge-orchestrator
I've been using Claude Code, Codex CLI, and Gemini CLI on the same projects. They're each great alone but running them concurrently is chaos: merge conflicts from simultaneous edits, decisions made in one context lost to another, and slow architectural drift as each agent optimizes locally without a shared plan.Forge is an orchestration layer that sits between AI coding tools and your codebase....
Forge is an orchestration layer that sits between AI coding tools and your codebase. It's a single Rust binary (~3 MB, zero runtime deps) that runs as an MCP server over stdio. Any MCP-compatible AI tool can call it.
MIT licensed. Whitepaper with the full architecture: https://nxtg.ai/insights/forge-whitepaper