Dev tools · alternatives · 2026
24 alternatives to CachePilot
Telemetry for OpenAI apps in production
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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Omnipilot▲242Autocomplete and in-context generation everywhere on macOS
2024 · omnipilot.ai · its alternatives →
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Hey HN OpenCopilot is an OSS framework which helps devs to build open-source AI Copilots that actually work and embed into their product with ease. Why another LLM framework? Twitter is full of impressive LLM applications but once you peel off the curtains it’s clear that they are just demos. The reason being because building an AI Copilot that goes beyond a Twitter demo can be complex, time-consuming and unreliable. Our team has been in the AI space since 2018 and built numerous LLM apps & copilots. While doing that, we got approached by many startups saying they’d also like to build a…
2023 · github.com · its alternatives →
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ModelPilot▲94Optimize Performance, Cost, Speed & Carbon for each prompt
Nov 2025 · modelpilot.co · its alternatives →
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ReadPilot▲303Read any webpage in 1 minute, with only 1 click
2023 · chromewebstore.google.com · its alternatives →
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OpenPilot▲98Open-source desktop AI agent for any model you choose
14d ago · openpilot.in · its alternatives →
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Devpilot▲112The AI co-pilot for your entire development lifecycle.
Nov 2025 · devpilot.com · its alternatives →
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MeshPilot▲102Your AI workspace for terminals, tasks, and agents
Jun 2026 · meshpilot.in · its alternatives →
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https://mailpilot.chat What is this? A local TUI (like Claude, Codex, Gemini, OpenCode or Copilot) that wraps your agent and sends each turn to an email in a nice format. What does it enable? It lets you email your agents. And them email you. So They Keep Working on the tasks you want, and You go and do What You Want. No need to stay at your desk. Be free. I built this for me, but thought others would find it useful, so I turned it into a product. I want get outside, and away from my desk, but still have the agents work. The accidental killer feature: You can CC your team. If you…
Jan 2026 · its alternatives →
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TabPilot▲6Safe tab cleanup for AI-heavy workflows.
Jun 2026 · jakeparkcolde.github.io · its alternatives →
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See what is slowing down your Mac—and fix it safely
Sep 2026 · apps.makealeft.app · its alternatives →
- 17GoPilot▲13
AI co-pilot that connects your calendar to the real world
Oct 2025 · gopilot.xyz · its alternatives →
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qpilot▲8Run your manual test cases in a real browser — no code
Jul 2026 · npmjs.com · its alternatives →
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If you have tried GitHub's Copilot Chat, then this will look familiar to you. The main difference, however, is you can choose which LLM to talk to. So far OpenPilot supports GPT 3.5/4 and Google PaLM 2. I'd like to add support for more models (Claude 2, etc) but have been stuck on waiting lists so I haven't tested them. OpenPilot will give context to your prompts by automatically including relevant files from your workspace. You don't need to have the file open or manually highlight the code in question. It does this using 2 techniques: 1. All the files in your workspace are transformed…
2023 · github.com · its alternatives →
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Hi HN, Erik here. Today we launch Butter, an OpenAI-compatible API proxy that caches LLM generations and serves them deterministically on revisit. Since April, we’ve been working on this concept of “muscle memory,” or deterministic replay, for agent systems performing automations. You may recall our first post in May, launching a python package called Muscle Mem: https://news.ycombinator.com/item?id=43988381 Since then, the product has evolved entirely, now taking the form of an LLM Proxy. For a deep dive into this process, check out:…
2025 · docs.butter.dev · its alternatives →
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Open-source alt to Perplexity Comet, Director.ai & Firecrawl
2025 · browserpilot-alpha.vercel.app · its alternatives →
- 24OT
2018 · medium.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 →