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Home/Categories/LLMOps & AI Tooling/Breadcrumb
icon of Breadcrumb

Breadcrumb

Open source alternative to LangSmith, Arize AI and Datadog

Open-source LLM tracing tool for AI-powered monitoring of agent performance.

38 starsTypeScriptAGPL-3.0Active this month
Visit websiteGitHub repo
image of Breadcrumb
Contents
  1. 01What Breadcrumb does
  2. 02Who Breadcrumb is for

Repository

Stars
38
Forks
3
License
AGPL-3.0
Latest
@breadcrumb-sdk/[email protected]
Last commit
13 days ago
Last verified
May 13, 2026
Repo
joshuaKnauber/breadcrumb ↗
  • 03The problem it solves
  • 04How it solves it
  • 05Strengths and trade-offs
  • 06Tech stack
  • 07FAQ
  • 08Similar open-source tools
    • TL;DR

    Breadcrumb is an open-source LLM tracing tool for monitoring AI agents and pipelines. It helps teams inspect model calls, trace execution, and understand where agent behavior breaks down.AGPL-3.0 · TypeScript · 38 stars · Active this month

    what it does

    What Breadcrumb does#

    Breadcrumb is an innovative open-source tool designed for monitoring and tracing Large Language Model (LLM) interactions. It provides AI-powered insights into agent performance, helping users identify issues such as hallucinations, context loss, and reasoning drift before they impact end-users.

    Key Features:

    • Real-time Monitoring: Tracks every LLM call and provides immediate feedback on agent performance.
    • Automatic Issue Detection: Identifies problems like hallucinations and context loss automatically, ensuring that users are informed of issues before they arise.
    • User-Friendly Dashboard: Offers a comprehensive dashboard that displays traces, token counts, latency, and costs, making it easy to visualize agent performance.
    • Open Source and Self-Hosted: Users can deploy Breadcrumb on their own servers or platforms like Railway and Fly, ensuring full control over their data.
    • Integration with Vercel AI SDK: Simple setup with just three lines of code, allowing developers to easily integrate Breadcrumb into their existing workflows.

    Use Cases:

    • Customer Support: Enhance the performance of AI agents in customer service by monitoring and improving response accuracy.
    • AI Development: Developers can use Breadcrumb to refine their LLMs by understanding how they perform in real-world scenarios.
    • Data Analysis: Businesses can leverage the insights provided by Breadcrumb to optimize their AI systems and reduce operational costs.
    who it's for

    Who Breadcrumb is for#

    Agent production debugging

    Breadcrumb fits teams that need to inspect why AI agents made a decision or failed a workflow.

    Skip if

    Your product only makes simple one-shot LLM calls with low operational risk.

    LLM pipeline monitoring

    Developers can use traces to understand multi-step AI pipelines and identify brittle steps.

    Skip if

    You already have an AI observability tool deeply integrated into your stack.

    the problem

    The problem it solves#

    how Breadcrumb solves it

    How it solves it#

    LLM trace capture

    Breadcrumb records AI agent and pipeline activity so developers can inspect what happened during a run.

    Agent debugging workflow

    The tool helps teams connect poor outputs to the model calls, context, or tool steps that caused them.

    Open-source observability path

    Teams can inspect and adapt the tracing layer instead of relying only on a proprietary monitoring product.

    strengths · trade-offs

    Strengths and trade-offs#

    Strengths

    • Focused AI observabilityBreadcrumb is strongest for teams debugging agents, LLM pipelines, and AI product behavior.
    • Clear developer valueTrace data gives engineers a concrete starting point when investigating hallucinations, missing context, or tool failures.

    Trade-offs

    • -Observability still needs processTracing is useful only if teams review runs, define failure patterns, and connect findings to prompt, tool, or product changes.
    tech stack · detected from GitHub

    What it's built on#

    Languages
    TypeScript
    Frameworks
    Next.jsReact
    frequently asked

    FAQ#

    What is Breadcrumb?

    Breadcrumb is an open-source tracing tool for AI agents and LLM pipelines.

    What problems does Breadcrumb help debug?

    Breadcrumb helps investigate failed agent runs, poor model outputs, missing context, and tool-call issues.

    Who should use Breadcrumb?
    also worth a look

    Similar open-source tools#

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    Langfuse

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    27.1KTypeScript
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    Additional details

    Language
    TypeScript
    Open issues
    11
    Contributors
    6
    First release
    2026

    Categories

    LLMOps & AI ToolingAI & Machine LearningDevOps & CI/CD

    Tags

    LLMOpsLLMMonitoringObservabilityDeveloper ToolsDevOps Tools

    AI agents can fail in ways that are hard to debug from final output alone. A wrong answer might come from a bad prompt, missing context, a tool-call error, latency, or an unexpected reasoning path.

    Teams building agentic systems need traces that show what happened across model calls and pipeline steps. Breadcrumb focuses on that observability layer so developers can diagnose failures before they become silent product regressions.

    Breadcrumb is best for developers operating agentic AI systems or multi-step LLM pipelines.