Static linter for AI agent configs, tool descriptions, and system prompts with zero-LLM CI gating
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Updated
Apr 28, 2026 - Python
Static linter for AI agent configs, tool descriptions, and system prompts with zero-LLM CI gating
Agent memory without the retrieval tax. Fidelity-preserving memory for Claude Code and AI agents — local-first, fast, and with no LLM in the default retrieval path. 83.2% R@1 on LongMemEval-S, $0/query retrieval.
Context-compensation scaffold for LLM evaluation prompts — disclose, gate on evidence, hedge on thin
Mine corrections from AI chat logs. Gate the next response before drift ships.
Single-pane-of-glass CLI for the Hermes Reliability Stack
Bootstrap a fresh Claude Code session with the conventions, grounding triggers, and tool-map already loaded — per-project, marker-anchored, idempotent. Stop re-deriving the same rules at minute 30.
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