Langfuse
Helicone AI
LangSmith
LangChain
Braintrust.dev
Openlayer
PromptLayer
Portkey
MemoryBase.app
Cursor Memories
EVA Online AI
knowbase.ai
LLM OneStop
MemMachine
MemoryPlugin
Memory Sync
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
MemoryBase is a cross-platform memory layer for people who use multiple AI tools daily. It syncs your conversations across ChatGPT, Claude, Claude Code, Cursor, and Gemini, so whatever you tell one AI is available to all the others.
Conversations get captured automatically as they happen, organized into projects and topics, and the relevant pieces surface in whichever tool you open next. You stay in control of what gets stored and what loads where.
Available as a Chrome extension and web app at memorybase.app. Free and Pro plans, with more integrations on the roadmap including OpenClaw, Slack, and Google Docs.
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Based on our record, Langfuse seems to be more popular. It has been mentiond 28 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.
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / about 1 month ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - 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
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / 2 months ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / 2 months ago
Helicone AI - Open-source LLM Observability for Developers
Cursor Memories - Memory system for Cursor agents
LangSmith - Build and deploy LLM applications with confidence
EVA Online AI - EVA is an all-in-one AI workspace that lets you chat with ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek and more from a single interface โ with one unified credit system and side-by-side model comparison. Free plan available.
LangChain - Framework for building applications with LLMs through composability
knowbase.ai - Knowbase is Dropbox and ChatGPT combined. You store your files and have access to all the information collected in them, by asking a question on the chat.