AI · alternatives · 2026
24 alternatives to Reduce ChatGPT costs 10x with distributed cache for LLMs
Hello HN! We're building a caching solution for LLMs (ChatGPT, Claude). By combining cutting-edge approaches, such as edge computing, prompt compression, vectorization, and others - it can reduce your AI bills by up to 10x and significantly lower response times. Key Features: - cost efficiency: our system stores frequent queries, reducing the number of upstream (paid) API calls - fast responses: with various nodes globally, we reduce latency by serving data from the nearest location - scalability: designed to handle increasing loads and data sizes without degrading performance. The cache…
This is a caching solution for large language models like ChatGPT and Claude that stores frequent queries to reduce API costs and response times. It uses edge computing, prompt compression, and vectorization techniques… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Reduce ChatGPT costs 10x with distributed cache for LLMs launched in 2024; newer entries below may have overtaken it.
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I was inspired by the way ChatGPT writes bullet lists, then invites you to "delve" deeper. This is an interface that reifies that rabbit-holing process into a tiling layout. The model is instructed to output hyperlink-prompts when it mentions something you might want to delve into. Lots of features to add (sessions, sharing, navigation, highlight-to-delve, images, ...). Would love to hear other usecases and ideas!
2024 · delve.a9.io · its alternatives →
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Shared persistent memory across all your LLMs.
2025 · teamlayer.xyz · its alternatives →
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Hermit▲147Leave ChatGPT while keeping everything it learned about you
Mar 2026 · hermit.tirith.life · its alternatives →
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Bindly▲76Hi HN, I’m a product designer by background, not a traditional software engineer. Over the last year, tools like Claude and ChatGPT completely changed how I work. I started with small internal tools, and now I’m “vibe coding” multiple highly personalized apps. As I iterated between Claude Code (implementation) and ChatGPT (ideation / thinking), I kept running into the same problem. To think clearly, I had to repeatedly re-explain: - what the code currently does, - what changed recently, - and why certain decisions were made. That re-summarization step became a real bottleneck. So I…
2016 · bind.ly · its alternatives →
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I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
2025 · github.com · its alternatives →
- 8IB
I'm lost between ChatGPT vs Claude vs Gemini... which subscriptions to take? With Cursor and all these specific AI tools, I just wanted one simple chat app where I can use any model and pay only when I use it. Couldn't find one, so I built one. Pay only for what you use. Your prompts and docs, knowledge bases work with every model - no more copy-pasting between apps. Started as a personal project, but thought someone else might benefit from this too. https://prismharmony.com/chat What do you think?
2025 · prismharmony.com · its alternatives →
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Elevate your AI chats & web management in one click
2023 · chromewebstore.google.com · its alternatives →
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OpenMemory Chrome Extension: Long-term memory for ChatGPT, Claude, Perplexity, Grok etc - mem0ai/mem0-chrome-extension
2024 · github.com · its alternatives →
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A Python Library for Efficient LLM Query Caching
2024 · github.com · its alternatives →
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Raymond here from Butter.dev, an LLM response cache built as a chat-completions proxy. Today we're launching a key feature for the platform: the ability to generalize on dynamic, templated inputs. Caching at the HTTP request level has the obvious problem of generalizability. Nearly no request is identical, due to templated variables (like names) and metadata (like timestamps), so exact-match cache lookups rarely hit. We solve this at Butter by using LLMs to detect dynamic content in requests and derive their inter-relationships, allowing the cache entry to be stored as a template + variables…
Jan 2026 · blog.butter.dev · its alternatives →
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Hey folks, As much as we love GPT-4, it's expensive and can be slow at times. That's why we built GPTCache - a semantic cache for autoregressive LMs - atop the vector database Milvus and SQLite. GPTCache provides several benefits: 1) reduced expenses due to minimizing the number of requests and tokens sent to the LLM service 2) enhanced performance by fetching cached query results directly 3) improved scalability and availability by avoiding rate limits, and 4) a flexible development environment that allows developers to verify their application's features without connecting to LLM APIs or…
2023 · github.com · its alternatives →
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This is like ChatGPT but simpler, with less features (for now). It offers unlimited access to o3, Claude Sonnet 4 and other models for the pro plan. It offers access to o4-mini and the like for the free version. Requests are unlimited up to rate limits that we hope apply to less than 2% of users (they're transparent and can be seen on the account page). I was sick of having these like t3.chat or abacus.ai that give you very few messages for the $8-$10 / month subscription, so wanted to create something closer to Cursor's new pricing but transparent. Image generation will come soon, I…
2025 · donsir.com · its alternatives →
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Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…
Jan 2026 · github.com · its alternatives →
- 17One AI Chat▲17
Access Gemini Pro, Claude Pro, ChatGPT Pro models and more for $8/month. Is it another AI/LLMs wrapper? Yes. So why should I use it? Honestly right now there are a lot of other alternatives. But here's why I think it's useful enough to release it in early access: 1. Clear & transparent pricing model. Usage rates is the same is providers api rates + 10%. 2. LLMs responses don't rely on the client connectivity. We use Convex. It's super stable. You can even run multiple chats in parallel. 3. Use it if you like the design :) 4. We have a very clear roadmap. What's next? A desktop app…
2025 · oneaichat.app · its alternatives →
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Cuts your LLM API costs by 40-70%. One line of code.
May 2026 · semanticguard.dev · its alternatives →
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I was not getting good cache utilization when including dynamic context in agent threads. After a lot of experimentation, I found a good pattern that minimizes how often long lived conversation history gets modified while still supporting dynamic context. It has flexible hooks for doing things like truncating or summarizing tool outputs when transitioning messages to the long term history. And I'm seeing >>90% of tokens hitting the cache for my agents despite including a lot of dynamic user context. There are a wide range of agent prompting strategies so I'd love to hear where this library…
Jun 2026 · github.com · its alternatives →
- 21CA
Current AI chat assistants face a fundamental challenge: context management in long conversations. While current LLM apps use multiple separate conversations to bypass context limits, a truly human-like AI assistant should maintain a single, coherent conversation thread, making efficient context management critical. Although modern LLMs have longer contexts, they still suffer from the long-context problem (e.g. context rot problem) - reasoning ability decreases as context grows longer. Memory-based systems have been invented to alleviate the context rot problem, however, memory-based…
Nov 2025 · its alternatives →
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PGS AI features 100% private architecture and multi-core AI
Dec 2025 · pgsgrove.com · its alternatives →
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Persistent memory for ChatGPT & Claude, local + private
2025 · chromewebstore.google.com · its alternatives →
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One memory for Claude, ChatGPT, Cursor and any MCP client
Jun 2026 · neutrally.app · 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 →