Radar / AI agents / okl - Observed Knowledge Ledger

okl - Observed Knowledge Ledger: Guardrails and a Learning Loop for AI Coding Agents

Records engineering rules, architecture decisions and docs once, briefs the coding agent before every task via a Claude Code hook or MCP, proves rules with checks, and flags drift before push or in CI.

trendingagents · frameworksJEV traction 0.15emeraldleaf/okl · 4 ★added 2026-10-18
Open okl - Observed Knowledge Ledger →View on the radar

Why it matters

Each session's lessons feed back into the ledger, so agent guardrails improve over time instead of rotting in a wiki nobody reads.

What you could build with it

An engineering consultancy could deploy okl across every client repo it touches, building a shared ledger of architecture decisions that keeps contracted AI agents consistent with each client's standards without manual briefing.

Does it hold up?

Too early to judge: 2 stars, repo from 2026-08-30, surfaced on HN today; installable from PyPI but no independent adoption reports yet.

Built with okl - Observed Knowledge Ledger

Learn more

official docs →

First spotted on github: source.

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