Praxa
Tamper-evident audit logs for AI agent decisions
Praxa launched on June 2, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
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.
Article 12 of the EU AI Act mandates automatic per-event logging for high-risk AI, with 6-month retention. High-risk obligations apply from December 2, 2027 (Digital Omnibus, 2026). Praxa records every AI decision into a tamper-evident SHA-256 hash chain and renders the auditor-ready evidence pack. The log is architectural, so you build it before the decisions happen, not after.
Article 12 requires every high-risk AI system to log its events automatically and keep them for at least six months. Praxa records each decision your AI makes (input, score, rationale, downstream action) into a per-agent SHA-256 hash chain , so the record is tamper-evident and auditor-verifiable. The high-risk obligations apply from December 2, 2027 , but the log is architectural: you can only capture a decision as it happens, not reconstruct it later. And the deployer stays liable even for AI systems they bought. A 3-line change around the model call your high-risk AI already makes. Works with the Vercel AI SDK, OpenAI, Anthropic, or LangChain — whatever powers the decision. Each decision…from praxa.piposlab.com
Does a similar 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'm 15. I mass published 134K lines to hold AI agents accountableMar 2026 · github.com · ▲6Software makes commitments all of the time. "I won't transfer more than $500," "I'll only access these three APIs," "I won't modify production data." But there is truly no way to verify it actually kept those commitments after the fact. All you do is just trust the logs and which the software itself wrote. I built Nobulex to fix this. It is open-source middleware that does three things: 1. Lets you define behavioral rules in a simple DSL (permit, forbid, require) 2. Intercepts all actions at runtime and blocks anything that will violate the rules 3. Logs everything in a hash-chained audit…
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