Helicone AI
Langfuse
LangSmith
Portkey
liteLLM
OpenRouter
Eden AI
LangChain
MemoryPlugin
Alma by Olivares.AI
Cursor Memories
ChatGPT
Supermemory
Claude AI
EVA Online AI
knowbase.ai
MemoryPlugin is the universal memory layer for AI systems. It enables persistent context across chats and platforms, so AI can recall precise user details and preferences over time. Developers can integrate memory seamlessly via browser extensions, MCP servers, custom plugins, and a robust OpenAPI specification. Features like Smart Memory and Memory Suggestions optimize memory accuracy and usability. Our Chat History-based memory transforms AI interactions into long-term, personalized experiences โ 10ร more useful than stateless chat models.
Helicone AI MemoryPluginNo features have been listed yet.
Based on our record, Helicone AI seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Helicone takes the simplest possible approach to LLM monitoring: it's a proxy. Change your OpenAI base URL from api.openai.com to oai.helicone.ai, add your Helicone API key as a header, and every LLM request is logged โ latency, tokens, cost, prompts, and completions. No SDK integration, no code changes beyond a URL swap. - Source: dev.to / about 2 months ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 2 months ago
For many teams, especially those starting out or with simpler needs, commercial solutions like Portkey, Helicone, OpenPipe, or LiteLLM Proxy offer off-the-shelf capabilities that cover many common proxy use cases (caching, logging, cost tracking). NeuroLink itself can be seen as an SDK that complements these, allowing you to integrate with them or build similar features on top. - Source: dev.to / 4 months ago
TL;DR: Go with Langfuse if you want open-source and self-hosted. Pick Helicone if you want the fastest setup (2 minutes, no SDK). Stick with LangSmith if your stack already runs on LangChain. And if your org already pays for Datadog, their LLM module slots right in. - Source: dev.to / 5 months ago
Hey HN, we're Justin and Cole, the founders of Helicone (https://helicone.ai) or self-deploy with our new fully open-source helm chart (https://helicone.ai/selfhost). Yet even with detailed traces, probabilistic systems are notoriously hard to debug at scale. So, we released evaluators (either via LLM-as-judge or custom Python evaluators leveraging the CodeSandbox SDK - https://codesandbox.io/docs/sdk/sandboxes).... - Source: Hacker News / over 1 year ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Alma by Olivares.AI - Give your AI a soul. AI assistant with persistent memory โ remembers your preferences, facts, and decisions across every conversation. Alma is a persistent memory layer that makes your AI smarter with every conversation.
LangSmith - Build and deploy LLM applications with confidence
Cursor Memories - Memory system for Cursor agents
Portkey - Build production-grade & reliable AI apps with Portkey
ChatGPT - ChatGPT is a powerful, open-source language model.