Swarmvault: A Lean LLM Agent Workflow Developer AnmarHani released Swarmvault, an open-source LLM agent workflow framework that uses only 13 core skills and a local folder vault system to enable spec-driven execution and parallel agent collaboration without background processes or telemetry. The MIT-licensed tool supports verified platforms including Claude Code and Codex, with best-effort support for Gemini CLI, OpenCode, Cursor, and Copilot on Linux, macOS, and WSL. Swarmvault: A Lean LLM Agent Workflow git clone https://github.com/AnmarHani/swarmvault && cd swarmvault && ./install.sh Context-First Design The framework consists of only 13 core skills. This isn't an arbitrary number; it's what remained after stripping away overlap and redundancy. The philosophy here is that if a capability is missing, it should be a thin extension rather than a heavy new skill competing for the same context window. Every skill is modular—you can drop one into any agent's directory, and it functions independently without needing the rest of the vault. Spec-Driven Execution Instead of relying on "vibes" or hopeful prompting, this follows a strict technical pipeline: 1. A requirements interview that produces a real SRS. 2. A design phase where decisions are formally logged. 3. Tickets generated in dependency order with clear "definition of done" tests. A strong model audits the work against the spec at every milestone. This eliminates the "filler" code and fluff documentation that usually plague agent outputs. The Vault System The "vault" is simply a local folder structure: 10 Projects 20 Memory 30 Plans 40 Sessions 50 Decisions It uses a zero-dependency script to give agents query , sync , claim , and context capabilities. This allows you to start a fresh session and say "continue project X," and the agent picks up exactly where it left off. Because agents "claim" tickets, you can run multiple agents in parallel without them duplicating work. Model Routing and Compatibility The system includes an optional orchestrator that distributes tasks across different platforms Claude /en/tags/claude/ Code, Codex, Cursor based on model strengths and usage limits. Adding a new CLI is handled via a launch-command template rather than a complex plugin system. Current Support: Verified Platforms: Claude Code, Codex Best-effort Platforms: Gemini /en/tags/gemini/ CLI, OpenCode, Cursor, Copilot OS: Linux, macOS, WSL Native Windows is best-effort There are no background processes, no telemetry, and no hosted services—just plain Markdown files on your disk under an MIT license. https://github.com/AnmarHani/swarmvault Next phi-leak-guard: A Practical Tutorial for PHI Leak Detection → /en/threads/3691/