AI · alternatives · 2026
24 alternatives to Jev
Fast, structured AI decisions for software automation
Jev is an AI model designed for software automation that returns structured decisions rather than text. It outputs Choice, Score, and Noul answers with calibrated probabilities that code can act on directly. Built for… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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September 2026. Every number here is from the benchmarks, and bash experiments/bench.sh --no-record reruns them without an API key.
3d ago · jevstiller.pages.dev · its alternatives →
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Devv.AI▲456Developer-centric AI search, augmented by code and docs
2024 · devv.ai · its alternatives →
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Jev-shaped (TypeSafe System One) classification wrapper over OpenAI-like clients: probabilities and confidence instead of prose - zhulinchng/jevper
9d ago · github.com · its alternatives →
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Agent evals and guardrails in one request. Built on Jev, Kev and Laya. - openlayer-ai/jevals
12d ago · github.com · its alternatives →
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Interactive JSON filter using jq. Contribute to ynqa/jnv development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Hi HN, I am Jiayuan, and I'm here to introduce a tool we've been building over the past few months: Devv (https://devv.ai). In simple terms, it is an AI-powered search engine specifically designed for developers. Now, you might ask, with so many AI search engines already available—Perplexity, You.com, Phind, and several open-source projects—why do we need another one? We all know that Generative Search Engines are built on RAG (Retrieval-Augmented Generation)[1] combined with Large Language Models (LLMs). Most of the products mentioned above use indexes from general search engines…
2024 · devv.ai · its alternatives →
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Countless.dev▲489Discover, compare, and choose AI models—100% Free
2024 · countless.dev · its alternatives →
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Jev returns a decision in 227 ms. The chat models take 2.5 to 3.5 seconds. Pong where the ball moves one step per model decision. Slow model, slow ball.
14d ago · jev-pong.ably.dev · its alternatives →
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GenAI powered search for your app and website
2024 · devrev.ai · its alternatives →
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The stack: two agents on separate boxes. The public one (nullclaw) is a 678 KB Zig binary using ~1 MB RAM, connected to an Ergo IRC server. Visitors talk to it via a gamja web client embedded in my site. The private one (ironclaw) handles email and scheduling, reachable only over Tailscale via Google's A2A protocol. Tiered inference: Haiku 4.5 for conversation (sub-second, cheap), Sonnet 4.6 for tool use (only when needed). Hard cap at $2/day. A2A passthrough: the private-side agent borrows the gateway's own inference pipeline, so there's one API key and one billing relationship…
Mar 2026 · georgelarson.me · its alternatives →
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I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
Nov 2025 · github.com · its alternatives →
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JevForAgents▲59Explore real Jev agent builds, demos, and patterns
8d ago · jevforagents.com · its alternatives →
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V-JEPA 2▲198Meta's world model for physical world understanding
2025 · ai.meta.com · its alternatives →
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Jev State▲99Turn AI conversations into tests and runnable code
10d ago · jev-state.vercel.app · its alternatives →
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Hi HN! I want to share our latest project at NEXA AI. We developed AI agent foundation models designed to transform how developers create AI agent powered apps. One major challenge we've observed with current human-computer interactions is that many simple, one-step tasks become unnecessarily complex, multi-step workflows due to limitations of current GUIs. AI agents can solve this, but existing AI agent models are slow and costly. To tackle these issues, we built lightweight AI agent models based on our Octopus V2, small language models for function calling (You can learn more about our…
2024 · nexa4ai.com · its alternatives →
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simplest possible native GUI for inspecting JSON objects with jq - fiatjaf/jqview
2020 · github.com · its alternatives →
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Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
Apr 2026 · github.com · its alternatives →
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I'm Vivek, co-founder/CEO of HackerRank (YC S11); You may know us as a hiring tool for developers/companies. Over the years, we have built up deep expertise in generating programming challenges, and we are now using that to make coding models better. Our first launch is Model Kombat -- an arena where you can directly compare anonymized coding models, side by side, on real problems. * Pick an arena (Java, Python, etc.) * Each battle has 3 rounds: see the problem + two model outputs -> vote on which you’d actually prefer * Leaderboards + problem statements are updated weekly. We…
2025 · astra.hackerrank.com · its alternatives →
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jebi▲140A supercharged terminal for Mac with built-in local AI
Jun 2026 · jebi.sh · its alternatives →
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Hey HN! We're excited to share our new open-source project, Marvin. Marvin is a high-level library for building AI-powered software. We developed it to address the challenges of integrating LLMs into more traditional applications. One of the biggest issues is the fact that LLMs only deal with strings (and conversational strings at that), so using them to process structured data is especially difficult. Marvin introduces a new concept called AI Functions. These look and feel just like regular Python functions: you provide typed inputs, outputs, and docstrings. However, instead of relying on…
2023 · github.com · its alternatives →
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A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv
2017 · github.com · its alternatives →
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Local decision model with calibrated probabilities: send a state and yes/no, choice or score questions, get a probability for every option. 0.8B GGUF on CPU, Jev-style API. - kouhxp/gutsy
1d ago · github.com · its alternatives →
Also compare
- Jevstiller – Distill Jev into a local model, with a disagreement bound alternatives
- Devv.AI alternatives
- Jevper – the Jev interface on top of any OpenAI-compatible model alternatives
- Jevals – replacing LLM judges with typed Jev decisions alternatives
- jnv: interactive JSON filter using jq alternatives
- I made a better Perplexity for developers alternatives
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 →