AI · alternatives · 2026
24 alternatives to PRAXIS
Stop risky AI actions before they execute
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.
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Your AI product coach now drafts, reviews, and teaches
Feb 2026 · praxisbyemergn.com · its alternatives →
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Xcode 26.3▲319Leverage coding agents to tackle complex tasks autonomously
Feb 2026 · developer.apple.com · its alternatives →
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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 →
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Praxim for Word▲114Cursor for Microsoft Word: What Word Copilot should've been
2025 · praxim.ai · its alternatives →
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prjct/cli▲95Change machines or agents. Keep your project's memory.
2025 · prjct.app · its alternatives →
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Hey HN! We're Lucas and Soheil, the founders of Praxos (https://praxos.ai). Praxos is a context manager for AI Agents, providing everything you need to build stateful agents that don't break in production. Praxos can parse any data source, from unstructured PDFs and API streams to conversational messages, to structured databases, and transform them into a single Knowledge Graph. Everything in this graph is semantically typed and its relationships are made explicit, turning data into a clean, queryable universe of understanding that AI can use without making mistakes. Whether you…
2025 · its alternatives →
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CodeRide (Beta)▲114AI-enhanced tasks and full context for your AI coding agent
2025 · coderide.ai · its alternatives →
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Let's be honest. Your AI agents could be better.
2025 · sailhouse.dev · its alternatives →
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The Universal Al Agent for DevOps
Dec 2025 · askpraxis.ai · its alternatives →
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MartinLoop▲79Control AI coding agents with limits, proof, + run receipts
Jun 2026 · martinloop.com · its alternatives →
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Agen▲138AI changed the way we code, but we're still using the old processes, and we've become the bottleneck, the AI is waiting for us - to reply, to open our laptops, to review the code, and so on. We're building the future of AI software development. The agents are autonomous, they run in sandboxes, automatically fix the pipelines, and deliver you the final, working code. You can use live preview to see the changes they made. Working across multiple repositories, all within the same session. This is the future - you don't need an IDE, and you don't have to run anything locally.
Mar 2026 · agenhq.com · its alternatives →
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Scindo▲79AI captures decisions, drafts plans, and opens matching PRs.
Mar 2026 · app.scindo.one · its alternatives →
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I've been delegating work to Claude Code for the past few months, and it's been genuinely transformative—but managing multiple agents doing different things became chaos. No tool existed for this workflow, so I built one. The Problem When you're working with AI agents (Claude Code, Cursor, Windsurf), you end up in a weird situation: - You have tasks scattered across your head, Slack, email, and the CLI - Agents need clear work items, context, and role-specific instructions - You have no visibility into what agents are actually doing - Failed tasks just... disappear. No retry, no notification…
Feb 2026 · github.com · its alternatives →
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Action library for AI Agent. Contribute to sheet0/npi development by creating an account on GitHub.
2024 · github.com · its alternatives →
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I have spent a long time working in an XP/TDD style, so when AI coding tools became useful enough for real work, I adopted them quickly. The first bottleneck I hit was not code generation, it was verification: AI could write code and tests quickly, but I was still the person reviewing implementations, clicking through flows, checking logs, inspecting database state, and deciding whether the result was actually correct. That pushed me to move validation further left. Before implementation, AI had to produce test plans. After implementation, it had to execute those plans too: drive the…
Mar 2026 · its alternatives →
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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 →