Agentkit-CLI: Open-source workflow kit for AI coding agents.

The proliferation of specialized AI coding agents—from platform-specific bots to general-purpose models—has created a context management nightmare. Developers are often forced to maintain near-identical, yet subtly divergent, prompt structures and execution rules across various tools (e.g., one file for Claude, one for Gemini, etc.). Agentkit-CLI directly addresses this fragmentation by establishing a source-first workflow for agent context. Instead of writing and updating multiple files, users write the project definition once in a canonical source file (like `agentkit/source.md`) and then project this single source into the specialized formats required by the target agents. This dramatically increases developer velocity and reduces cognitive load associated with prompt maintenance. Beyond mere prompt consistency, Agentkit-CLI elevates the concept of agent collaboration by introducing the 'agentkit contract.' This mechanism allows teams to define shared guardrails, scope, and required deliverables at the workflow level. When work necessitates shared, structured guardrails across multiple agents, the contract formalizes these expectations, ensuring that the final output is measurable and adheres to defined quality gates. Furthermore, its capabilities extend into pre-execution checks, allowing users to lint the context files and gate quality within a CI/CD pipeline, thereby catching context drift before agents even begin running. From a technical standpoint, the maturity of this tool is its primary differentiator. The emphasis on a high volume of tests (4824 tests) and documented shipping versions suggests a focus on reliability and real-world integration rather than simple, headline-grabbing demos. This signals a commitment to building a stable, industrial-strength workflow utility. The tool's modularity, allowing projection into multiple specific formats (`AGENTS.md`, `CLAUDE.md`, `GEMINI.md`, etc.), proves its adaptability across the rapidly diversifying LLM ecosystem. In summary, Agentkit-CLI is not just a prompt templating tool; it is an architectural layer for managing the complexity of multi-agent AI development. It provides the necessary rigor—the source of truth, the shared contract, and the systematic testing—to transition from experimental, ad-hoc agent setups to predictable, reliable, and scalable AI workflows.