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TraceAgently VS CheepCode

Compare TraceAgently VS CheepCode and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

TraceAgently logo TraceAgently

See every thought, tool call, and error from your AI agents in real time. Instrument any agent in 2 lines of code. Works with OpenAI, Claude, LangChain, CrewAI, and more.

CheepCode logo CheepCode

$1 per task.Get building.
  • TraceAgently TracegAgently
    TracegAgently //
    2026-04-02

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.

The problem

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.

What you get

  • Live trace viewer โ€” watch your agent think in real time
  • Cost per trace โ€” see exactly what each run costs
  • Error pattern detection โ€” spot what's breaking across all your agents
  • Magic Fix (Pro) โ€” pastes your full trace into Claude and explains what went wrong

Works with everything

Raw OpenAI, Claude, Gemini, LangChain, CrewAI, or any custom loop. No framework lock-in.

Pricing

Free tier: 5,000 events/month, no credit card.

Not present

Analysis of TraceAgently

Overall verdict

  • I don't have verified information about TraceAgently (traceagently.com), so I can't confirm whether it's a good product or service. It's possible this is a newer, niche, or lesser-known tool that isn't well-documented in publicly available sources I was trained on.

Why this product is good

  • No reliable data available on features, pricing, or user reviews for this specific product
  • Cannot verify claims about performance, reliability, or customer satisfaction without firsthand or well-documented sources
  • Recommend checking recent user reviews on independent platforms, checking the company's reputation via BBB or Trustpilot, and testing any free trial before committing

Recommended for

  • Not applicable - insufficient information to make a recommendation
  • Users should conduct independent research, read recent reviews, and verify the company's legitimacy before use

Analysis of CheepCode

Overall verdict

  • I don't have verified, up-to-date information about CheepCode (cheepcode.com) to make a reliable assessment of its quality, features, or reputation. I cannot confirm details about this specific service.

Why this product is good

  • I do not have specific data on CheepCode's features, pricing, or user reviews
  • I cannot verify claims about this product's performance or reliability
  • This appears to be a niche or newer service that isn't well-documented in my training data
  • Making claims without verified information could be misleading

Recommended for

  • Before using this service, research current user reviews on independent platforms
  • Check recent Reddit, Trustpilot, or G2 reviews for firsthand experiences
  • Verify the company's legitimacy through business registries or domain age checks
  • Contact the company directly with questions about their offerings and support
  • Look for case studies or testimonials from verified customers

Category Popularity

0-100% (relative to TraceAgently and CheepCode)

TraceAgently

CheepCode

API Tools
100 100%
API Tools
0% 0
AI
0 0%
AI
100% 100
Error Tracking
100 100%
Error Tracking
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

Questions & Answers

As answered by people managing TraceAgently and CheepCode.

Which are the primary technologies used for building your product?

TraceAgently's answer

Python and Node SDKs

What makes your product unique?

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.

Why should a person choose your product over its competitors?

TraceAgently's answer

No framework lock-in, no SDK wrapping your entire stack. Works in 5 minutes and has a genuinely free tier.

How would you describe the primary audience of your product?

TraceAgently's answer

Developers building AI agents who need to debug what's happening inside the loop.

What's the story behind your product?

TraceAgently's answer

Built it after shipping agents that worked in testing and broke in production with no useful logs to debug them.

User comments

Share your experience with using TraceAgently and CheepCode. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, CheepCode seems to be more popular. It has been mentiond 1 time 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.

TraceAgently mentions (0)

We have not tracked any mentions of TraceAgently yet. Tracking of TraceAgently recommendations started around Apr 2026.

CheepCode mentions (1)

  • Remote MCP Support in Claude Code
    If you like that workflow you might love CheepCode[0] which I built specifically to support it! CheepCode connects to Linear and works on tickets as they roll in, submitting PRs to GitHub. [0] https://cheepcode.com. - Source: Hacker News / about 1 year ago

What are some alternatives?

When comparing TraceAgently and CheepCode, you can also consider the following products

LangSmith - Build and deploy LLM applications with confidence

Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.

Helicone AI - Open-source LLM Observability for Developers

Arise - Leave your procrastination demons behind (with pomodoro)

AgentNotch - Real-time AI coding assistant telemetry in your Mac's notch

Balagan Agent - Break your AI agent on purpose before production does.

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