Railly/agentfiles — Browse, create, and edit AI agent files across Claude Code, Cursor, Codex, and 13+ tools — from Obsi…

Description and use

**Brief Summary**
Railly/agentfiles is an open‑source TypeScript toolkit that lets you browse, create, and edit AI‑agent definition files directly from Obsidian, supporting Claude Code, Cursor, Codex and more than a dozen other tools. By turning isolated prompts and tool integrations into version‑controlled, reusable agent workflows, it makes multi‑agent orchestration, tool‑use pipelines, and standardized memory handling far easier for developers.

**Value**

• **Workflow unification** – Consolidates the disparate prompt files and tool configurations used by different LLM platforms into a single, searchable repository, eliminating ad‑hoc copy‑pasting and reducing drift.
• **Repeatability & governance** – Agent definitions are stored as code (JSON/YAML) that can be version‑controlled, reviewed, and audited, enabling teams to enforce standards for memory, tool usage, and security.
• **Rapid prototyping** – With Obsidian’s rich note‑taking UI, developers can iterate on prompts, test them across multiple back‑ends, and instantly see the impact, accelerating the build‑test‑deploy cycle for AI‑augmented products.

**Practical Adoption Path**

1. **Pilot in a sandbox** – Clone the repo, install the CLI/SDK, and point it at an existing Obsidian vault. Import a few existing prompt files and generate the corresponding agent files.
2. **Integrate with CI/CD** – Add the provided TypeScript library or CLI to your build pipeline to validate agent files (schema checks, linting) on every commit.
3. **Connect to production tools** – Use the generated agent definitions with Claude Code, Cursor, Codex, or any of the 13+ supported tools via their APIs/SDKs, replacing ad‑hoc prompt strings with the centrally managed files.
4. **Scale across teams** – Publish the vault as a shared Obsidian space or a Git‑based knowledge base, allowing multiple engineers to contribute, review, and version‑control agent workflows.

**Production Readiness**

• **Activity & community** – 549 stars, 29 forks, recent commits (as of 2026‑05‑12), and a healthy set of 14 topics indicate an active community.
• **Technical maturity** – Implemented in TypeScript with clear API/CLI surfaces, language metadata, and extensive documentation, making integration straightforward.
• **Risk considerations** – No major metadata or licensing red flags, but a final security audit and confirmation of active maintainers are advisable before mission‑critical deployment. Overall, the project is ready for a serious pilot and can be promoted to production once the minor due‑diligence items are cleared.

Problem

Railly/agentfiles helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Browse, create, and edit AI agent files across Claude Code, Cursor, Codex, and 13+ tools — from Obsidian.

Source