TraceAgently
LangSmith
Langfuse
Helicone AI
Arise
AgentNotch
Balagan Agent
Deeptracer.dev
Haystack Analytics
LinearB
GitPrime
Waydev
Swarmia
CodeClimate
Athenian
Teamplify
TraceAgently is an observability API for AI agents. Drop a few lines into any agent and get a real-time dashboard showing every thought, tool call, tool result, and error in the exact order they happened.
AI agents fail silently. Your logs show nothing useful. You have no idea if your agent called the wrong tool, looped, or hit a token limit.
Raw OpenAI, Claude, Gemini, LangChain, CrewAI, or any custom loop. No framework lock-in.
Free tier: 5,000 events/month, no credit card.
Haystack is a real-time delivery analytics platform designed for engineering leaders like CTOs, VPs of Engineering, Directors of Software Engineering, and Engineering Managers. Haystack provides actionable insights that enable data-driven decision-making, aligning engineering performance with business objectives. Haystack platform integrates seamlessly with essential developer tools like GitHub and JIRA, offering a comprehensive view of team productivity and delivery efficiency.
Leading companies like AngelList, Shutterstock, Schneider Electric, and many more trust Haystack to optimize their development processes. By transforming historical Git data into objective insights, we help you identify bottlenecks and visualize trends, ensuring timely project delivery and sustained business growth. Our analytics dashboard allows you to monitor critical metrics such as cycle time, making it easier to spot inefficiencies before they escalate into costly delays.
Haystack helps engineering leaders to mitigate risks and improve workflow efficiency. With a unified view of the entire delivery lifecycle, you can track KPIs, compare performance trends, and make informed decisions that drive measurable outcomes. Our platform goes beyond merely measuring productivity; it equips you with the tools to foster continuous improvement and innovation within your teams.
Designed to scale with your organization, Haystack is the competitive advantage that data-driven engineering teams need to thrive. By leveraging analytics, you can transform your engineering operations, enhance collaboration, and accelerate your path to market success. Join top companies in harnessing the power of Haystack for a more efficient and effective engineering process.
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TraceAgently's answer
Developers building AI agents who need to debug what's happening inside the loop.
Haystack Analytics's answer:
Engineering Leaders and Managers
TraceAgently's answer
Python and Node SDKs
TraceAgently's answer
Most observability tools wrap your LLM calls. TraceAgently works with any agent loop you write yourself, not just supported frameworks. You instrument what matters and see it live.
TraceAgently's answer
No framework lock-in, no SDK wrapping your entire stack. Works in 5 minutes and has a genuinely free tier.
TraceAgently's answer
Built it after shipping agents that worked in testing and broke in production with no useful logs to debug them.
Based on our record, Haystack Analytics seems to be more popular. It has been mentiond 2 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.
Heads up: site is not loading. Ios Safari & macOS Chrome. Mixed Content: The page at 'https://usehaystack.io/' was loaded over HTTPS, but requested an insecure favicon 'http://www.usehaystack.io/favicon.ico'. This request has been blocked; the content must be served over HTTPS. - Source: Hacker News / over 5 years ago
Hey HN! I'm Julian, co-founder of Haystack (https://usehaystack.io). Weโre building one-click dashboards and alerts using Github data. While managing teams from startups to more established companies like Cloudflare, my cofounder Kan and I were constantly trying to improve our team and process. But it was pretty tough to tell if our efforts were paying off. Even tougher to tell where we could improve. We tried... - Source: Hacker News / over 5 years ago
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