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描述
agentfdr is a local-first flight data recorder tailored for debugging autonomous coding agents like Claude Code, offering detailed turn-by-turn session analysis without any instrumentation or cloud dependency. It uniquely combines timeline visualization, automatic anomaly detection, and real-time monitoring to help developers diagnose looping, drift, and token overuse issues efficiently.
agentfdr reads the transcripts Claude Code already writes and turns them into a flight recording: per-turn timeline, automatic anomaly flags (loops, error streaks, token burns), live watch mode, plan-usage tracking, and cost estimates. Zero instrumentation, 100% local, MIT.
Detailed Description
agentfdr is a specialized debugging tool designed specifically for autonomous coding agents such as Claude Code. Its core purpose is to act as a local-first flight data recorder that captures and analyzes the detailed session transcripts of these agents, enabling developers to understand complex behaviors like looping, goal drift, or excessive token consumption. Unlike traditional debugging tools that require instrumentation, cloud services, or configuration, agentfdr operates entirely locally and reads the transcripts agents already produce, making it a zero-configuration, zero-cloud solution. This approach ensures privacy, ease of use, and minimal setup overhead, which is crucial for developers working with autonomous agents that generate extensive logs and token usage data. At the heart of agentfdr is its comprehensive timeline viewer, which presents the entire session on a single screen. This viewer details every turn the agent takes, including all tool calls made, how the context window is composed, and the output tokens generated. It also highlights prompt and compaction markers, allowing developers to visually track how the agent’s input and output evolve over time. Complementing this is an automatic anomaly detection system that flags common failure modes such as tool loops, error streaks, context bloat, token spikes, cache thrashing, file churn, and refusals. These alerts help developers quickly pinpoint problematic behaviors without manually sifting through logs. Further granularity is provided by the turn dissection panel, which breaks down each turn’s usage metrics, including detailed tool call statistics like duration and result size. This level of insight is invaluable for optimizing agent performance and diagnosing inefficiencies. Additionally, agentfdr offers a live watch mode that allows real-time monitoring of ongoing sessions, enabling developers to observe context growth and token usage as the agent operates. For continuous integration pipelines, the CI gate feature enforces limits on loops and token consumption, preventing runaway processes and reducing operational costs. Sharing insights is streamlined through the markdown autopsy feature, which renders the analysis into markdown format suitable for posting in issue trackers or Slack threads. This facilitates collaboration among development teams by making debugging data easy to communicate. Moreover, agentfdr aggregates usage metrics with per-model breakdowns and estimates costs for subscription metering, helping teams manage budgets and understand resource consumption. agentfdr is best suited for developers, AI researchers, and engineers who work with autonomous coding agents and need to debug complex, multi-turn interactions. It is particularly useful in scenarios where agents exhibit unexpected looping behavior, drift away from intended goals, or consume excessive tokens leading to high costs. By providing a detailed, turn-by-turn forensic analysis, agentfdr empowers users to engineer more reliable and efficient agent loops. Regarding pricing, agentfdr is an open-source tool available via npm and GitHub, which means it can be used freely without subscription fees. Its local-first design eliminates cloud costs and reduces dependency on external services. This makes it an attractive option for teams looking for a cost-effective debugging solution. Compared to alternatives, agentfdr stands out by focusing exclusively on autonomous coding agents and offering a zero-instrumentation, zero-cloud experience. Many other debugging tools require complex setup, cloud integration, or do not provide the same level of detailed session analysis and anomaly detection tailored to agent workflows. However, agentfdr’s local-first approach may limit collaborative real-time debugging features that cloud-based platforms offer. Notable limitations include its current specialization for agents like Claude Code, which means it may require adaptation to support other agent frameworks fully. Also, while it excels at post-session analysis, its live watch mode is primarily observational and may not support interactive debugging. Users should also be aware that interpreting the detailed metrics and anomaly reports requires some familiarity with autonomous agent behavior and token management. Overall, agentfdr is a powerful, niche tool that fills a critical gap in autonomous agent development by providing deep visibility into agent operations without the overhead of cloud services or instrumentation.
工具功能
- Timeline viewer showing every turn's tool calls, context composition, and output tokens with prompt and compaction markers
- Automatic anomaly detection for tool loops, error streaks, context bloat, token spikes, cache thrash, file churn, and refusals
- Turn dissection panel with usage breakdown and detailed tool call metrics including duration and result size
- Live watch mode to follow a session in real time and observe context growth
- CI gate feature to enforce limits on loops and token usage in autonomous pipelines
- Markdown autopsy to render analysis as markdown for easy sharing in issues or Slack threads
- Aggregated usage metrics with per-model breakdown and estimated cost for subscription metering
描述
agentfdr is a local-first flight data recorder tailored for debugging autonomous coding agents like Claude Code, offering detailed turn-by-turn session analysis without any instrumentation or cloud dependency. It uniquely combines timeline visualization, automatic anomaly detection, and real-time monitoring to help developers diagnose looping, drift, and token overuse issues efficiently.
agentfdr reads the transcripts Claude Code already writes and turns them into a flight recording: per-turn timeline, automatic anomaly flags (loops, error streaks, token burns), live watch mode, plan-usage tracking, and cost estimates. Zero instrumentation, 100% local, MIT.
Detailed Description
agentfdr is a specialized debugging tool designed specifically for autonomous coding agents such as Claude Code. Its core purpose is to act as a local-first flight data recorder that captures and analyzes the detailed session transcripts of these agents, enabling developers to understand complex behaviors like looping, goal drift, or excessive token consumption. Unlike traditional debugging tools that require instrumentation, cloud services, or configuration, agentfdr operates entirely locally and reads the transcripts agents already produce, making it a zero-configuration, zero-cloud solution. This approach ensures privacy, ease of use, and minimal setup overhead, which is crucial for developers working with autonomous agents that generate extensive logs and token usage data. At the heart of agentfdr is its comprehensive timeline viewer, which presents the entire session on a single screen. This viewer details every turn the agent takes, including all tool calls made, how the context window is composed, and the output tokens generated. It also highlights prompt and compaction markers, allowing developers to visually track how the agent’s input and output evolve over time. Complementing this is an automatic anomaly detection system that flags common failure modes such as tool loops, error streaks, context bloat, token spikes, cache thrashing, file churn, and refusals. These alerts help developers quickly pinpoint problematic behaviors without manually sifting through logs. Further granularity is provided by the turn dissection panel, which breaks down each turn’s usage metrics, including detailed tool call statistics like duration and result size. This level of insight is invaluable for optimizing agent performance and diagnosing inefficiencies. Additionally, agentfdr offers a live watch mode that allows real-time monitoring of ongoing sessions, enabling developers to observe context growth and token usage as the agent operates. For continuous integration pipelines, the CI gate feature enforces limits on loops and token consumption, preventing runaway processes and reducing operational costs. Sharing insights is streamlined through the markdown autopsy feature, which renders the analysis into markdown format suitable for posting in issue trackers or Slack threads. This facilitates collaboration among development teams by making debugging data easy to communicate. Moreover, agentfdr aggregates usage metrics with per-model breakdowns and estimates costs for subscription metering, helping teams manage budgets and understand resource consumption. agentfdr is best suited for developers, AI researchers, and engineers who work with autonomous coding agents and need to debug complex, multi-turn interactions. It is particularly useful in scenarios where agents exhibit unexpected looping behavior, drift away from intended goals, or consume excessive tokens leading to high costs. By providing a detailed, turn-by-turn forensic analysis, agentfdr empowers users to engineer more reliable and efficient agent loops. Regarding pricing, agentfdr is an open-source tool available via npm and GitHub, which means it can be used freely without subscription fees. Its local-first design eliminates cloud costs and reduces dependency on external services. This makes it an attractive option for teams looking for a cost-effective debugging solution. Compared to alternatives, agentfdr stands out by focusing exclusively on autonomous coding agents and offering a zero-instrumentation, zero-cloud experience. Many other debugging tools require complex setup, cloud integration, or do not provide the same level of detailed session analysis and anomaly detection tailored to agent workflows. However, agentfdr’s local-first approach may limit collaborative real-time debugging features that cloud-based platforms offer. Notable limitations include its current specialization for agents like Claude Code, which means it may require adaptation to support other agent frameworks fully. Also, while it excels at post-session analysis, its live watch mode is primarily observational and may not support interactive debugging. Users should also be aware that interpreting the detailed metrics and anomaly reports requires some familiarity with autonomous agent behavior and token management. Overall, agentfdr is a powerful, niche tool that fills a critical gap in autonomous agent development by providing deep visibility into agent operations without the overhead of cloud services or instrumentation.
常见问题
What is agentfdr?
agentfdr is a local-first flight data recorder designed to debug autonomous coding agents by analyzing their session transcripts turn by turn. It helps developers understand why agents loop, drift off-goal, or consume excessive tokens without requiring instrumentation, cloud services, or configuration.
How much does agentfdr cost?
agentfdr is an open-source tool available for free via npm and GitHub. Since it operates locally without cloud dependencies, there are no subscription fees or usage costs associated with the tool itself.
Who is agentfdr best for?
agentfdr is best suited for developers, AI researchers, and engineers working with autonomous coding agents who need to debug complex multi-turn behaviors such as loops, goal drift, or token overconsumption.
What are the main features of agentfdr?
Key features include a timeline viewer showing every turn’s tool calls and token usage, automatic anomaly detection for loops and token spikes, a turn dissection panel with detailed metrics, live watch mode for real-time session observation, CI gate for enforcing usage limits, markdown autopsy for sharing analysis, and aggregated usage metrics with cost estimation.
Does agentfdr offer a free trial?
agentfdr is open-source and free to use, so there is no need for a trial period. Users can install and run it immediately without cost.
What integrations does agentfdr support?
agentfdr integrates primarily by reading the transcripts generated by autonomous coding agents like Claude Code. It does not require additional instrumentation or cloud services, making it compatible with agents that produce accessible session logs.
How does agentfdr work?
agentfdr works by locally reading and analyzing the session transcripts that autonomous coding agents produce during their operation. It reconstructs the sequence of turns, tool calls, and token usage to provide detailed visualizations and anomaly detection, enabling developers to debug agent behavior after the fact.
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