Monitor, Evaluate and Optimize your LLM-apps
LangWatch empowers AI teams to ship 10x faster with quality assurance at every step. It offers a scientific approach to LLM quality measurement, automatic prompt and model optimization using Stanford's DSPy framework, and a drag-and-drop interface for team collaboration. The platform addresses the challenges of LLM performance uncertainty, manual optimization processes, and the transition from proof-of-concept to production. LangWatch provides full dataset management, custom or off-the-shelf quality evaluators, quality, latency, and cost measurement, debugging tools, versioned experiments, and integration into any tech stack. It supports all LLMs, offers self-hosted deployment for data and security control, and is GDPR compliant, working towards ISO27001. For European customers, servers are hosted in Europe.
Add your AI agent to our curated directory
Handle multi-step workflows autonomously
Example
Schedule meeting → Find time → Send invite → Confirm attendees
Save 5-10 hours/week on routine coordination tasks
Gather data from multiple sources and summarize
Example
Research competitor pricing across 5 websites, create comparison table
Reduce research time from hours to minutes
Analyze options and recommend actions
Example
Review 20 vendor proposals, score against criteria, rank top 3
Make data-driven decisions faster
AI agents combine large language models with tools, memory, and decision-making logic to autonomously complete multi-step tasks without constant human guidance.
Large language model for reasoning and decision-making
Understand tasks, plan steps, generate responses
APIs, databases, external services the agent can call
Take actions beyond text generation (search, compute, write files)
Short-term (conversation) and long-term (persistent) memory
Maintain context across interactions and learn from past actions
Decision engine for choosing next action
Plan multi-step workflows and handle errors/edge cases
Prerequisites
Steps
✓ Do
✗ Don't
Key Metrics
Optimization Tips
According to our evaluation, LangWatch benefits from clear positioning — fewer buzzwords than typical agent landing pages.
LangWatch has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
LangWatch has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
LangWatch has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
According to our evaluation, LangWatch benefits from clear positioning — fewer buzzwords than typical agent landing pages.
According to our evaluation, LangWatch benefits from clear positioning — fewer buzzwords than typical agent landing pages.
I recommend LangWatch for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
LangWatch is a strong agent listing on explainx.ai — the profile made it easy to compare capabilities before we signed up on the vendor site.
I recommend LangWatch for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
LangWatch is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
showing 1-10 of 54
Key Considerations
