Capture how your team reviews code, investigates production issues, opens pull requests, writes documentation, and ships software. Distribute those practices to every engineer and every AI agent from a single source of truth.
Works with Claude Code, Cursor, Copilot, Codex CLI and custom agents.
Agents multiplied how much code ships — and how many ways it gets written. The practices that keep it healthy still live in a few heads and scattered prompt files.
Each engineer configures their agent differently. There's no single place to see how — or whether — your standards are actually applied.
Workflows stay locked to one repo or one tool — every new hire and every new team rebuilds the same setup from scratch.
You can mandate a style guide, but you can't audit a thousand agent sessions. Drift compounds silently — as tech debt.
LoadLore is the registry and control plane for how your team works. Capture a workflow once — and it becomes a versioned artifact any engineer or agent can install and follow.
Package agent skills, tools, hooks and configs into versioned harnesses — like tech-debt-guard v2.3.1 — instead of loose dotfiles.
One command installs a harness into Claude Code, Cursor, Copilot or your custom agents. Browse the registry, pick a ready-made agent for the task, done.
Live view of which teams run which versions, where configs drift, and how practices correlate with code-quality signals. Teams keep local overrides — you keep visibility.
A harness bundles everything a practice needs to actually run — skills, tools, hooks and configuration. Install it once, and LoadLore compiles it to the native format of whichever agent each engineer uses.
tech-debt-guard/ harness v2.3.1 ├── skills/ │ ├── refactor-safely.md │ └── review-checklist.md ├── tools/ │ ├── mcp.json # MCP servers │ └── bin/debt-scan # CLI, ready to run ├── hooks/ │ ├── pre-commit.sh │ └── post-edit-lint.sh └── harness.yaml # config & permissions targets: claude-code · cursor · copilot · custom
Step-by-step expertise the agent loads when a task calls for it — your refactoring method, your review checklist, your incident runbook.
MCP servers, CLI utilities and scripts that ship inside the harness and work out of the box — no per-machine setup.
Checks that run around agent actions — lint after every edit, gate before every commit — so standards are applied, not just suggested.
Settings, permissions and context declared once. Adapters translate the whole package into each agent's native format.
Every agent runs with the review gates, architecture rules and checks your senior engineers would apply — no manual policing, no wiki nobody reads.
Adoption, versions and drift across the whole org — while teams keep their local overrides, so governance never becomes the bottleneck.
Cloud agent registries catalogue agents inside one vendor's ecosystem. LoadLore manages the practice layer — across every tool your teams already use.
We're onboarding a limited number of design partners. Tell us a little about your team and we'll schedule a 30-minute walkthrough with a founder.
No deck. Live product, your use case.
A founder — not an email sequence — will reach out within a few days to pick a time and tailor the walkthrough to your stack. Need it sooner? Write to hello@loadlore.dev and mention your team size.