TraceAgently
LangSmith
Langfuse
Helicone AI
Arise
AgentNotch
Balagan Agent
Deeptracer.dev
opencode
Claude Code
Cursor
Google Antigravity
warp by spolu
GitHub Copilot
Kiro
Windsurf Editor
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.
TraceAgently opencodeNo TraceAgently videos yet. You could help us improve this page by suggesting one.
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
Developers building AI agents who need to debug what's happening inside the loop.
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, opencode seems to be more popular. It has been mentiond 67 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.
Https://opencode.ai/ OpenCode was the first agent harness I used, and I have always like it. You can configure a wide variety of providers, but it's open source and has a number of core contributors. The other opinionated option is Pi (the Pi agent harness). This is a great lightweight option and also supports a number of providers. You can also use local model servers. - Source: Hacker News / 23 days ago
OpenCode with GLM 5.2 wrote custom Emacs Lisp to pinpoint within the file where the missing or extra bracket could be. It rewrote the custom code to check various parts of the file. Each of those is a tool use and many, many tokens burned. The next step is to turn those custom scripts written by the AI agent into a tool to speed up the process, or a skill that shows how to use other tools to speed up the process. - Source: dev.to / 26 days ago
I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0% โ never edited a single file. - Source: dev.to / 27 days ago
Set up your stations. I work in two Ghostty terminals. The left side is for planning and viewing, the right for synchronous agents running through OpenCode. - Source: dev.to / about 1 month ago
If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / about 1 month ago
LangSmith - Build and deploy LLM applications with confidence
Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโno more context switching, just breakthrough results.
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
Helicone AI - Open-source LLM Observability for Developers
Google Antigravity - Google Antigravity - Build the new way
