Groundrule vs Inventory

AI agents now write a large share of your code. Your engineering standards didn't come along: they live in wikis, review comments and the heads of a few senior people, and every agent file (AGENTS.md, CLAUDE.md, Cursor rules, Copilot instructions) drifts into its own copy.

Groundrule turns those standards into one rulebook, teaches it to every coding agent, and checks every change against it.

**One rulebook.** Write a standard once: the requirement, why it exists, how to fix a violation, a severity and a stage. Start from curated packs (security baseline, TypeScript/Node, Python, Go, Java/Spring, React, architecture, Docker, Kubernetes, Terraform, GitHub Actions, testing, agent hygiene) and add your own.

**Every agent reads it.** One `groundrule sync` writes AGENTS.md, CLAUDE.md, Cursor rules and Copilot instructions from the same source, and a stop hook plus an MCP server let agents check their own work before they finish.

**Start from what your code already does.** `groundrule scan` reads the rules a repository already keeps (layer boundaries, placement conventions, package gates, imported from your existing docs too) and sends proposals to a review inbox, each with its evidence. Accept, and it's a standard.

**Checked on every pull request.** Deterministic checks run in CI and on commits. Each finding names what failed, which standard, the evidence (file and line) and the fix. Blockers stop the merge; everything else teaches.

**Roll out on evidence.** Every rule moves through observe → teach → advise → enforce, with the data to justify each step. A compliance report shows pass rate, rules in effect, exceptions used and what commits declare about coding agents, exportable as CSV.

The core (CLI, checks, packs, hooks, MCP server) is open source under Apache-2.0 and works with no account. The hosted workspace adds the rulebook, inbox, rollout stages, team and repository settings, and compliance reports. Free for small teams; open-source projects stay free.

Best for: Engineering teams that ship with AI coding agents: platform and staff engineers, tech leads and engineering managers who own code quality, architecture and security standards.

• Standards for coding agents
• AGENTS md generation
• Architecture rule enforcement
• PR compliance checks
• Security baseline enforcement
• Agent file drift detection

See the full listing - Groundrule on ScrollLaunch.

Inventory transforms your AI conversations into a searchable archive on your machine. Developers can swiftly find past discussions and solutions with ease. Designed for users of AI agents like Cursor, Claude Code, Zed, Codex, or Kiro, it streamlines access to chat histories—no account setups or cloud services required.

Installation is a breeze. Inventory quietly indexes your tools’ local stores in the background. Search through conversations using full-text and semantic results, getting what you need before you finish typing. Whether troubleshooting a bug or recalling a configuration command, Inventory helps you dive back into your work without missing a beat.

Built for speed and efficiency, Inventory lets you capture thoughts and retrieve copied content with a keystroke. Customize how much history to index, keeping your storage relevant and uncluttered. It’s the ultimate search tool for your AI interactions.

Best for: Developers using AI agents and IDEs seeking efficient conversation retrieval.

• Bug tracking
• Configuration retrieval
• Code refactoring
• Session resumption
• Thought capture

See the full listing - Inventory on ScrollLaunch.