AI · alternatives · 2026
24 alternatives to AgenSights
Know exactly which AI agent is burning your budget.
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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Trails▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
Jan 2026 · trails-red.vercel.app · its alternatives →
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Kōan ▲64See your AI agents think. Reasoning, tool calls & decisions
Apr 2026 · k-an.vercel.app · its alternatives →
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Your AI agent hits an infinite loop and racks up $2000 in API charges overnight. This happens weekly to AI developers. AgentGuard monitors API calls in real-time and automatically kills your process when it hits your budget limit. How it works: Add 2 lines to any AI project: const agentGuard = require('agent-guard'); await agentGuard.init({ limit: 50 }); // $50 budget // Your existing code runs unchanged const response = await openai.chat.completions.create({...}); // AgentGuard tracks costs automatically When your code hits $50 in API costs, AgentGuard stops…
2025 · github.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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Growbro AI▲13The AI that never sleeps, never quits, never stops selling
2025 · growbro.ai · its alternatives →
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AI agents that initiate contact, warm, and transfer leads.
2025 · vanillavoice.ai · its alternatives →
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I built a tool to roast landing pages with AI agents. I was gathering feedback from watching landing page roast videos, and figured out I could prompt LLMs to analyse a screenshot and roast based on the same criteria. It's not 100% accurate yet, but it has been really insightful when I've tested it on my own websites. Let me know what you think!
2024 · roastmylandingpage.io · its alternatives →
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Hire developers or use an AI agent?
Apr 2026 · isahumancheaper.damjanski.com · its alternatives →
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burnban▲1Meter and cap AI agent spend on your own machine
Jul 2026 · burnban.dev · its alternatives →
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Software 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…
Mar 2026 · github.com · its alternatives →
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Know before your app's AI bill hurts. Alerts, not dashboards
Feb 2026 · driftinsight.dev · its alternatives →
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Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io · its alternatives →
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OP here: this project was born out of the frustration/paranoia that AI providers are throttling their models when their server load is too high. So, I set out to model and study the problem mathematically to understand what was happening, what I found was quite surprising. The idea seems natural: as the data center demand increases momentarily through the day, throttling their models (either using quantized versions, reducing the context window or lowering the tier of the model to a smaller one) seems appealing as the replacement model in principle uses less electricity. The problem is…
Aug 2026 · throttle.staffinganalytics.io · its alternatives →
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AgentWatch▲12Hi HN, I’m a solo developer and built AgentWatch to solve a problem I kept running into while building AI agents: preventing runaway loops and unexpected LLM spend before requests reach the model. AgentWatch sits in front of OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, Groq, and others to enforce budgets and runtime policies. I’d really appreciate your feedback. If you’re building AI agents, does this solve a problem you’ve experienced? I’d also love to hear what you’d improve or challenge.
Jun 2026 · agent-watch.dev · 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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Free AI agent cost calculator. Compare GPT-4o, Claude, Gemini, DeepSeek and 50+ models. Build a workflow, get instant cost projections — no surprises on your bill.
May 2026 · airunrate.com · its alternatives →
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Hi HN, I just launched AI Cost Board, a small project I built to make multi-provider AI usage easier to operate in production. It gives you a unified dashboard for: total spend token usage request volume latency and error rates What it enables: one proxy layer for multiple providers request logs for debugging and visibility budgets + alerts for cost control workspace/project structure for teams pricing + subscription flow for Free/Pro plans The goal is simple: make AI costs and performance observable in real time, without stitching together multiple tools. I’d really appreciate…
Feb 2026 · aicostboard.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 →