
Praxa
Tamper-evident audit logs for AI agent decisions
What it does
EU AI Act Article 12 mandates per-event logging for high-risk AI, retained 6+ months. High-risk rules apply Dec 2, 2027 (2026 Digital Omnibus), but the log is architectural: you capture each decision as it happens, you can't backfill it. Praxa records every AI decision into a tamper-evident SHA-256 hash chain. Free playground at praxa.piposlab.com/playground lets you tamper a chain in 5s. Verify with @piposlabs/praxa-verify on npm (MIT, zero deps). Free up to 10k decisions/mo, $79 for 100k.
Does the same job
all alternatives →- OSOpen-Source Article 12 Logging Infrastructure for the EU AI ActMar 2026 · ▲42
EU legislation (which affects UK and US companies in many cases) requires being able to truly reconstruct agentic events. I've worked in a number of regulated industries off & on for years, and recently hit this gap. We already had strong observability, but if someone asked me to prove exactly what happened for a specific AI decision X months ago (and demonstrate that the log trail had not been altered), I could not. The EU AI Act has already entered force, and its Article 12 kicks-in in August this year, requiring automatic event recording and six-month retention for high-risk systems,…
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I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent's own output tells you a story, but it's the agent's story. logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks. https://github.com/melonattacker/logira



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