AI · alternatives · 2026
24 alternatives to Kaval
Verify what your AI agent believes before it takes action
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
- 1
Kastrafree tier, from $19.99/mo▲332Hi HN, Fernando and I built Kastra. Kastra intercepts AI agent tool calls and evaluates them against deterministic policies before they execute. We built this product to control pre- and post-inference workloads. This is aimed at developers using coding agents like Claude Code, Codex, Cursor, and OpenClaw. Kastra pushes an allow, hold, and deny decision before the action runs. You can build these policies in plain English from the web app. The interception engine evaluates the tools, targets, and parameters of every action at sub 1ms at a scale of billions of interceptions per day. We also…
Jul 2026 · kastra.ai · its alternatives →
- 2
- 3
- 4
Deep Work Plan▲114Models matter. Context matters more. Give your agent a plan.
Jun 2026 · deepworkplan.com · its alternatives →
- 5
- 6
Arkiv▲67EU AI Act compliance system built for design agencies
May 2026 · arkived.io · its alternatives →
- 7
- 8
Check AI answers for missed risks before you act
Jun 2026 · agent-proof.netlify.app · its alternatives →
- 9
Kessa▲3Prove who authorized your AI agent's actions
Aug 2026 · kessa.gneiss-group.com · its alternatives →
- 10
- 11
- 12
On March 4, 2026, my Claude Code agent wrote a staging URL into a production config file — three times, 41 minutes apart. Syntax was valid, no error thrown. My logs showed every action. All green. The problem was invisible because nothing had recorded what the agent intended to do before it acted — only what it actually did. K9 Audit fixes this with a causal five-tuple per agent step: - X_t: context (who acted, under what conditions) - U_t: action (what was executed) - Y*_t: intent contract (what it was supposed to do) - Y_t+1: actual outcome - R_t+1: deviation score (deterministic — no LLM,…
Mar 2026 · github.com · its alternatives →
- 13
Cryptographic proof — before execution, not after
Apr 2026 · cloud.authproof.dev · its alternatives →
- 14
Your AI validates bad decisions. These tools challenge them.
Jun 2026 · reasoning.services · its alternatives →
- 15
Prove real AI agency and P&L impact not just experimentation
Jul 2026 · askledger.org · its alternatives →
- 16
Etch▲5Trace, replay, and verify every AI agent decision.
Jul 2026 · etch.systems · its alternatives →
- 17
Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io · its alternatives →
- 18
Check every AI agent action before it runs
May 2026 · agentwing.gpmai.dev · its alternatives →
- 19
- 20
AI Dimag▲3Verified memory for AI coding agents that proves it's true
Jul 2026 · aidimag.com · its alternatives →
- 21
- 22KL
I built a platform where you solve tasks together with AI agents (Claude Code, Codex, Cursor — any agent via SSH). Isolated sandbox environments, automated test scoring, global leaderboard. Tasks range from easy (AI one-shots it) to hard (requires human help). Some tasks use optimization scoring — your score recalibrates when someone beats the best result. Built it in 6 days as a solo founder. 100% of code written with Claude Code and Codex. Stack: Go, Next.js, K8s, Supabase, Stripe.
Mar 2026 · kagento.io · its alternatives →
- 23
Verisquad▲13Fight misinformation with AI agents with 10K free tokens
2025 · verisquad.com · its alternatives →
- 24
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →