#agent-reliability
GitHub repositories that have self-applied the topic "agent-reliability" — a creator-tagged metadata that surfaces how AI projects describe themselves.
REPOS Repos for #agent-reliability (top 5 by stars)
🔁 Build reliable recurring AI-agent systems: 968 resources, 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.
IgorGanapolsky/mac-yolo-safeguardsOS-level safeguards layer for AI agent loops — runaway-kill, timeouts & resource limits so coding agents (Claude Code, Cursor, Codex, Antigravity) in YOLO mode can't burn tokens or freeze your Mac
fainir/flipbackYour agent stopped. It could have kept going. A Claude Code plugin that reads the conversation when a turn ends, spots work that was announced but never done, and puts the agent back on.
tonydzi/agent-runtime-integrity-benchIntegrity scenarios for agent runtimes, distilled from real fleet incidents — deterministic fault-injection checks against real SDKs
vigilancetrent/truststackThe Trust Stack for Agent Apps — independently installable Python libraries that make AI agents reliable, auditable, and accountable. Because agent failures are trust failures.
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#claude-code
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936#python
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723#mcp
719#codex
517Aggregated by case-insensitive match against topics_json of each repo's latest content snapshot. methodology