AO
Production patterns for safer LLM agent operations
A small open-source collection of production patterns for running LLM agents more safely. It focuses on redacting secret-shaped text, checking agent memory integrity, and testing prompt or skill changes before they regress.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
Open Source
Chrome Extension
File Access
Memory
B2B
For Developers
CLI
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About
What It Is
What to Know
Key Features
Redacts secret-shaped text at the output boundary with named shape tokens
Lints markdown-based agent memory directories for dead links, duplicates, orphans, and over-budget indexes
Builds a backlink graph and suggests repairs without auto-applying changes
Defines fail-soft detector discipline for zero-LLM health monitoring
Frames skill and prompt edits as process code with regression testing guidance
Use Cases
Vendor the redaction helper into an agent search or transcript recall path to reduce secret leakage before text is shown to a user
Run integrity checks on a Claude Code-style memory directory to catch dead wiki links, silent merges, and duplicate facts
Use the fail-soft detector pattern when monitoring a fleet of agents so missing signals under-report instead of causing noisy failures
Agenticness
: Guided Assistant
Executes tasks you assign, one step at a time, within narrow domains.
High evidence
Last evaluated:
Jul 31, 2026
Dimension Breakdown
Action Capability
Autonomy
Planning
Adaptation
State & Memory
Reliability
Interoperability
Safety
Operator Sovereignty
Categories
Pricing
- Free / open source — full functionality available at no cost.
Details
AddedJuly 16, 2026
RefreshedAugust 16, 2026
Agenticness
Quick Facts
DeploymentSelf-hosted
AutonomyCopilot (human-in-loop)
Model supportSingle model
Open sourceYes
Team supportIndividual only
Pricing modelFree / open source
Interfacecli, api
Sources
Last updated
August 18, 2026
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