AI · alternatives · 2026
24 alternatives to Velona AI
AI that finds hidden fleet costs before they hit your P&L
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 2 we have checked on their own sites, 2 of them free or with a free tier.
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apra-fleet▲87Run a fleet of AI agents across your machines
Aug 2026 · apra-labs.github.io · its alternatives →
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OpenTelemetry-native observability for agents and LLMs
Aug 2026 · openobserve.ai · its alternatives →
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Tracciafree tier, from $99/mo▲197AI applications are becoming agents, which has started to take autonomous decisions. There are plenty of tools and platform available to trace, and observe what an agent or llms calls does. They are good in what they do, but tracing and observability isnt enough for AI agents era. We need a solution that can help you observe, evaluate, create run time policies to govern and finally audit the actions of the agent. We built Traccia to solve this problem. The good part, all of these can be achieved by just writing few lines of code. Traccia has an open-sourced sdk that can work with your…
Aug 2026 · traccia.ai · its alternatives →
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RunAnywhere▲119Ollama but for mobile, with a cloud fallback
2025 · runanywhere.ai · its alternatives →
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Tracea▲80Datadog for AI agents with traces, RCA, and team memory
May 2026 · tracea.dev · its alternatives →
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Nirixa AI▲17AI observability & cost intelligence for LLM apps
Mar 2026 · nirixa.in · its alternatives →
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VELA▲74Securely execute AI-generated & untrusted code
Jun 2026 · vela-secure.vercel.app · its alternatives →
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We created autonomous AI Agents that monitor the stock market for you while you go about your day. How it works: Tell our AI Assistant what you want to monitor, and it creates a project for our team of autonomous AI Agents. You'll get notifications (email + app) when significant events matching your criteria are detected. For short-term projects, you'll be notified when your analysis is ready. Behind the scenes: When you give the AI Assistant a request to monitor an entity (like a stock or group of stocks), an AI Project Manager plans the project and breaks the project down into manageable…
2024 · decodeinvesting.com · its alternatives →
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Argmin AI▲32Hey, HN community! We've built Argmin AI after shipping LLM features where the demo worked, then the bill and latency got unpredictable in production. Prompts expanded, context grew, retrieval got noisy, retries appeared, and agent workflows added loops. Argmin AI optimizes LLM-related expenses as a system: 1. prompt and context efficiency 2. model selection and routing 3. RAG inefficiencies and caching opportunities 4. agent workflows (tool calls, retries, loop control) Changes are validated with evals and guardrails (tests, gates, judges), tailored to your quality definition and goals.…
Jul 2026 · argminai.com · its alternatives →
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Venditi Ai▲28Insurance made easy. Compare your policies in seconds.
2025 · venditi.ai · its alternatives →
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Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
Jul 2026 · oodle.ai · its alternatives →
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Sovereign AI agents for distributed workflows.
2024 · docs.vectrs.xyz · its alternatives →
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Orbit AI▲9Hi HN, I built Orbit to solve a visibility gap in AI cost management. Provider dashboards show aggregate API spend, but don't answer which product feature is driving it. When your bill spikes, you're left guessing whether it's the chatbot, document processor, or an agent workflow running inefficiently. Orbit attributes every LLM call to a specific feature, task, or customer. You wrap your existing AI client with our SDK, tag calls with metadata, and get real-time dashboards showing cost, latency, and error rates broken down by feature. Key capabilities: Per-feature cost and performance…
Jan 2026 · withorbit.io · its alternatives →
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Run AI Agents on your cloud infrastructurefree tier▲12Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…
2025 · okteto.com · its alternatives →
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Hey HN! Alex and Zack from Nexa AI here. We are excited to share a project our team has been passionately working on recently, in collaboration with Jiajun from Meta, Qun from San Francisco State University, and Xin and Qi from the University of North Texas. Running AI models on edge devices is becoming increasingly important. It's cost-effective, ensures privacy, offers low-latency responses, and allows for customization. Plus, it's always available, even offline. What's really exciting is that smaller-scale models are now approaching the performance of large-scale closed-source models for…
2024 · github.com · its alternatives →
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Monitor every LLM API call and cost in real time
Mar 2026 · aicostguard.com · its alternatives →
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AICosts.ai▲12Hey HN, I'm a solo SWE building AICosts.ai after working on multiple projects where managing AI costs became a nightmare across multiple clients. Between OpenAI, Claude, Blotato, ElevenLabs, n8n workflows, Make workflows, and dozens of other AI tools, I was spending hours each month just figuring out what I was actually spending and on what. So basically I built AICosts.ai to solve this: one location for me to track my entire AI stack (GPT, Claude, Gemini, automation tools like Zapier/Make/n8n)in one place. It helps me compare costs across providers, set billing alerts, and track…
2025 · aicosts.ai · its alternatives →
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Afford AI▲11Track LLM usage, costs & tokens with real-time insights.
2025 · affordai.io · its alternatives →
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Stop burning money blind on LLM API calls
Feb 2026 · agentpulses.com · 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 →