Viewing profile — zippolyon

You mentioned that the system supports interventions and counterfactuals. I am curious: does it simply recalculate a predicted probability based on the intervention, or does it sep…

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This is the exact problem that keeps us up at night. We ran a controlled experiment: same AI agents, same task, two conditions. Without runtime enforcement, our CMO agent fabricate…

Interesting premise — agree that agents need runtime infrastructure, not just frameworks. One dimension we've been exploring: runtime governance. Even with a good runtime, agents c…

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The bundle K9 seals at execution time covers most of what you described: X_t captures agent identity, session ID, hostname and PID at the moment of execution; Y _t hashes the const…

Fair point — it's Python-based if you use the @k9 decorator directly. For Claude Code specifically, the hook works regardless of what language the agent is written in, because it i…

Not Claude Code specific — @k9 decorator works with any Python agent (LangChain, AutoGen, CrewAI). For Claude Code it hooks via .claude/settings.json, zero code changes. For pi-age…

K9 Audit records every AI agent action as a CIEU five-tuple (context / action / intent / outcome / assessment), SHA256 hash-chained locally. Zero tokens consumed, no external serve…

The hesitation about log upload is exactly why K9 Audit works differently — local by default, SHA256 hash-chained, zero data leaves your machine unless you explicitly configure a s…

The billing surprise problem is real, but there's a deeper one: exit code 0 with silent deviations. K9 Audit complements OTel — instead of just tracing tokens and latency, it recor…

Running 8 parallel agents is exactly when silent deviations get expensive — one agent writes to the wrong path and exit code 0 hides it. K9 Audit drops into .claude/settings.json a…

Great work on the session analytics. The "error cascade in first 2 minutes predicts abandonment" finding is exactly the kind of signal that causal auditing can act on. We built K9 …

Nice work on the gitagent port. K9 Audit drops straight into .claude/settings.json — zero-config audit layer, works alongside gstack. https://github.com/liuhaotian2024-prog/K9Audit…

Nice work on the gitagent port. If anyone runs this agent autonomously, K9 Audit drops straight into .claude/settings.json as a zero-config audit layer — records every tool call as…

Not Claude Code specific — works with any Python agent via a one-line decorator. LangChain, AutoGen, CrewAI, or anything custom. Claude Code just gets a zero-config hook via .claud…

GStack is a brilliant setup for maximizing Claude Code's velocity. But if you are letting an agent run autonomously across your repos, velocity without constraints is terrifying. W…