Alternatives to neatlogs
Compare neatlogs alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to neatlogs in 2026. Compare features, ratings, user reviews, pricing, and more from neatlogs competitors and alternatives in order to make an informed decision for your business.
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1
TraceEngine
Polonious
The dedicated software for skip tracing from the world’s authority in case management systems. TraceEngine is the one tool you need to make skip tracing easier, faster, and more effective. It is powered by the PoloniousEngine and benefits from 20 years of experience in world-class investigation software and system delivery. Being cloud-based means hosting and security are taken care of, and can you be up and running in less than 10 minutes, with your first 30 days free. You’ll get access to our ongoing support for just $165 each month and with no lock-in contracts you can cancel anytime. TraceEngine is packed with powerful features specifically designed for skip tracing letting you manage more cases and generate more business. A simple search and pick tool lets you easily allocate cases to investigators. If they are not already in the system then a simple widget will pop up to let you add the required details. -
2
Scout Monitoring
Scout Monitoring
Scout Monitoring is Application Performance Monitoring (APM) that finds what you can't see in charts. Scout APM is application performance monitoring that streamlines troubleshooting by helping developers find and fix performance issues before customers ever see them. With real-time alerting, a developer-centric UI, and tracing logic that ties bottlenecks directly to source code, Scout APM helps you spend less time debugging and more time building a great product. Quickly identify, prioritize, and resolve performance problems – memory bloat, N+1 queries, slow database queries, and more – with an agent that instruments the dependencies you need at a fraction of the overhead. Scout APM is built for developers, by developers, and monitors Ruby, PHP, Python, Node.js, and Elixir applications. -
3
Kayba
Kayba
Kayba makes AI agents self-improve from experience. It learns from an agent’s execution traces to detect failures, fix them, and measure whether the fix actually worked. Instead of relying on generic evals that cannot explain why an agent failed, Kayba derives failure modes from the agent’s own traces and builds custom benchmarks for the user’s domain, so teams can measure improvement against real production failure patterns. Kayba wires tracing into an agent with one line of setup, watches it around the clock, and flags the moment a step stops being recorded. Even good tracing rots as teams ship changes, and steps can quietly stop being captured; Kayba checks the tracing users already have, shows exactly what is broken, points to the file that needs attention, and sends the gap to a coding agent through MCP. The coding agent patches the issue, and Kayba verifies that the trace is actually closed.Starting Price: Free -
4
Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
5
Atla
Atla
Atla is the agent observability and evaluation platform that dives deeper to help you find and fix AI agent failures. It provides real‑time visibility into every thought, tool call, and interaction so you can trace each agent run, understand step‑level errors, and identify root causes of failures. Atla automatically surfaces recurring issues across thousands of traces, stops you from manually combing through logs, and delivers specific, actionable suggestions for improvement based on detected error patterns. You can experiment with models and prompts side by side to compare performance, implement recommended fixes, and measure how changes affect completion rates. Individual traces are summarized into clean, readable narratives for granular inspection, while aggregated patterns give you clarity on systemic problems rather than isolated bugs. Designed to integrate with tools you already use, OpenAI, LangChain, Autogen AI, Pydantic AI, and more. -
6
Sentry
Sentry
Sentry is an application monitoring and observability platform that helps developers identify, diagnose, and resolve software issues across web, mobile, backend, and AI-powered applications. Designed with a developer-first approach, the platform combines error monitoring, performance tracing, logs, session replay, profiling, metrics, and uptime monitoring into a unified environment connected by a single trace. Sentry enables engineering teams to quickly move from issue detection to root cause analysis and remediation, providing deep visibility into application behavior and user experiences. Its AI-powered debugging capabilities help developers identify underlying causes, generate fixes, and prevent regressions before code reaches production.Starting Price: $29/month -
7
Inspector
Inspector.dev
Inspector is a Code Execution Monitoring tool that helps software developers automatically identify errors and bottlenecks. It traces your application at any scale, enabling you to fix issues before customers experience them while keeping debugging costs predictable and low.Starting Price: €15/month -
8
LangSmith
LangChain
Unexpected results happen all the time. With full visibility into the entire chain sequence of calls, you can spot the source of errors and surprises in real time with surgical precision. Software engineering relies on unit testing to build performant, production-ready applications. LangSmith provides that same functionality for LLM applications. Spin up test datasets, run your applications over them, and inspect results without having to leave LangSmith. LangSmith enables mission-critical observability with only a few lines of code. LangSmith is designed to help developers harness the power–and wrangle the complexity–of LLMs. We’re not only building tools. We’re establishing best practices you can rely on. Build and deploy LLM applications with confidence. Application-level usage stats. Feedback collection. Filter traces, cost and performance measurement. Dataset curation, compare chain performance, AI-assisted evaluation, and embrace best practices. -
9
Deleaker
Softanics
Deleaker 🛠️ is a powerful memory leak detection tool for C++, .NET, and Delphi developers. It seamlessly integrates with Visual Studio, RAD Studio, and works as a standalone app. Deleaker helps identify and fix memory leaks, GDI leaks, and handle leaks 🔍 in real time. With an intuitive UI, detailed reports, and precise stack traces, it makes debugging easier ⚡. Whether you're working on a large project or a small app, Deleaker ensures your software stays efficient and leak-free 🚀.Starting Price: $149 -
10
Luciq
Luciq
Luciq is an AI-powered mobile observability platform designed for app developers and enterprises to monitor, diagnose, and improve mobile applications seamlessly. The solution brings together bug reporting, crash analytics, session replay, and performance monitoring in one unified SDK that supports Android, iOS, web and hybrid apps. It enables users to capture detailed device logs, network traces, annotated screenshots, videos and user feedback, while automatically correlating events and errors using machine learning to prioritize issues by impact. Developers gain visibility into user sessions where things went wrong, reproduce defects through replay, and resolve issues faster using integrations with JIRA, Slack, Zapier, Zendesk and other tools. With Luciq’s “Agentic Mobile Observability” approach, the system surface the most critical problems, suggests root-causes and even recommends remediations, helping teams increase velocity, improve app stability and enhance user experience. -
11
Manufact
Manufact
Manufact is a platform to build and deploy MCP apps and servers, giving teams a fast path to the ChatGPT Apps Store, Claude Connectors, and every surface where users and agents already work. The mcp-use SDK is the full-stack MCP framework to develop MCP apps for ChatGPT and Claude, as well as MCP servers for AI agents. Manufact covers every step of the MCP lifecycle with no extra tools: build from an SDK, a skill, or a vibe; deploy with one push; publish with marketplace checklists and generated submission assets; iterate with Cloud Inspector; and monitor with analytics, session replay, traces, error rates, and alerts. Teams can scaffold with the MCP-use SDK, install a skill into a coding agent, describe an app and watch it scaffold, or drop in an existing MCP server unchanged. Manufact Cloud connects to a repo once, then every push auto-deploys, with preview URLs for pull requests, custom domains, and SSL handled.Starting Price: $25 per month -
12
Mistral AI Studio
Mistral AI
Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.Starting Price: $14.99 per month -
13
Agnost AI
Agnost AI
Agnost AI is a product analytics platform for conversational agents that helps teams catch silent failures before users leave. It reads every agent conversation alongside its traces to show where the agent fails, where users get frustrated, what they are asking for, and where churn begins. Thousands of chats are automatically clustered into recurring problems and intents, ranked by impact and linked back to the exact conversations and traces behind each pattern. It detects hallucinations, broken promises, quality issues, policy violations, compliance problems, rising friction, and situations where a technical trace may show success even though the user did not get a useful result. Instead of stopping at dashboards, Agnost identifies the highest-impact fixes and provides supporting evidence, recommended changes, and evals needed to ship improvements safely. It can also generate self-improvement suggestions and open pull requests against system prompts, agent harnesses, etc.Starting Price: $49 per month -
14
Respan
Respan
Respan is a self-driving observability and evaluation platform built specifically for AI agents. It enables teams to trace full execution flows, including messages, tool calls, routing decisions, memory usage, and outcomes. The platform connects observability, evaluations, and optimization into a continuous improvement loop. Metric-first evaluations allow teams to define performance standards such as accuracy, cost, reliability, and safety. Respan also includes capability and regression testing to protect stable behaviors while improving new ones. An AI-powered evaluation agent analyzes failures, identifies root causes, and recommends next steps automatically. With compliance certifications including ISO 27001, SOC 2, GDPR, and HIPAA, Respan supports secure, large-scale AI deployments across industries.Starting Price: $0/month -
15
AgentOps
AgentOps
Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. Track, save, and monitor every token your agent sees. Manage and visualize agent spending with up-to-date price monitoring. Fine-tune specialized LLMs up to 25x cheaper on saved completions. Build your next agent with evals, observability, and replays. With just two lines of code, you can free yourself from the chains of the terminal and instead visualize your agents’ behavior in your AgentOps dashboard. After setting up AgentOps, each execution of your program is recorded as a session and the data is automatically recorded for you.Starting Price: $40 per month -
16
LiveDebugger
Software Mansion
LiveDebugger is a development tool that makes Phoenix LiveView debugging simple by helping developers see what is happening inside their applications in real time. It gives teams a clear view of the LiveView and LiveComponent structure, making it easier to understand how components fit together and shape the interface. Developers can explore the component tree at a glance, quickly identify where issues originate, and navigate the hierarchy of a LiveView application without guessing which part of the UI is responsible for a problem. LiveDebugger also lets users inspect assigns for any LiveView or LiveComponent in real time, helping them track state transitions, understand data flow, and see how values change as they interact with the app. Its callback tracing tools make it possible to follow lifecycle callbacks, measure execution time, analyze performance, and filter events so developers can focus only on what matters.Starting Price: Free -
17
Trace
Trace
Trace is an automated KPI analysis platform that helps teams see exactly why business metrics move without chasing dashboards or waiting days for answers. It uses metric trees to connect KPIs with their underlying drivers in a shared, computable model of performance, making analysis repeatable, explainable, and suitable for reliable AI-powered insights. Trace decomposes performance, attributes changes, ranks the most important drivers, compares results with plan, detects anomalies, and scans segments so teams can move from a question to a clear explanation in minutes. Unlike dashboards that only show what happened or AI copilots that still depend on users to direct the investigation, Trace encodes analytical skills that allow its AI agent to perform the analyst workflow autonomously. Teams can begin with one or two critical KPIs, use editable templates, and connect the platform to their warehouse without migrating or restructuring data. -
18
Vivgrid
Vivgrid
Vivgrid is a development platform for AI agents that emphasizes observability, debugging, safety, and global deployment infrastructure. It gives you full visibility into agent behavior, logging prompts, memory fetches, tool usage, and reasoning chains, letting developers trace where things break or deviate. You can test, evaluate, and enforce safety policies (like refusal rules or filters), and incorporate human-in-the-loop checks before going live. Vivgrid supports the orchestration of multi-agent systems with stateful memory, routing tasks dynamically across agent workflows. On the deployment side, it operates a globally distributed inference network to ensure low-latency (sub-50 ms) execution and exposes metrics like latency, cost, and usage in real time. It aims to simplify shipping resilient AI systems by combining debugging, evaluation, safety, and deployment into one stack, so you're not stitching together observability, infrastructure, and orchestration.Starting Price: $25 per month -
19
Convo
Convo
Kanvo provides a drop‑in JavaScript SDK that adds built‑in memory, observability, and resiliency to LangGraph‑based AI agents with zero infrastructure overhead. Without requiring databases or migrations, it lets you plug in a few lines of code to enable persistent memory (storing facts, preferences, and goals), threaded conversations for multi‑user interactions, and real‑time agent observability that logs every message, tool call, and LLM output. Its time‑travel debugging features let you checkpoint, rewind, and restore any agent run state instantly, making workflows reproducible and errors easy to trace. Designed for speed and simplicity, Convo’s lightweight interface and MIT‑licensed SDK deliver production‑ready, debuggable agents out of the box while keeping full control of your data.Starting Price: $29 per month -
20
Laminar
Laminar
Laminar is an open source all-in-one platform for engineering best-in-class LLM products. Data governs the quality of your LLM application. Laminar helps you collect it, understand it, and use it. When you trace your LLM application, you get a clear picture of every step of execution and simultaneously collect invaluable data. You can use it to set up better evaluations, as dynamic few-shot examples, and for fine-tuning. All traces are sent in the background via gRPC with minimal overhead. Tracing of text and image models is supported, audio models are coming soon. You can set up LLM-as-a-judge or Python script evaluators to run on each received span. Evaluators label spans, which is more scalable than human labeling, and especially helpful for smaller teams. Laminar lets you go beyond a single prompt. You can build and host complex chains, including mixtures of agents or self-reflecting LLM pipelines.Starting Price: $25 per month -
21
Bugsee
Bugsee
See video, network and logs that led to bugs and crashes in live apps. No need to reproduce intermittent bugs. With Bugsee, all the crucial data is always there. All important traces from your app. Now you know what exactly led to unexpected behavior. See the video of all user actions, communication with the backend and system state that led to the problem. Get statistics on similar crashes. See trends broken down by device type, OS version and time. Get the exact filename, method and a line number of the crash. See states of all other threads running at the time of the crash. See all HTTP and HTTPS requests and responses – headers and body – from and to your app. Replay all app’s console logs synchronized to the video and network traffic.Starting Price: $99 per month -
22
Lightrun
Lightrun
Add logs, metrics and traces to production and staging, directly from your IDE or CLI, in real-time and on-demand. Boost productivity and gain 100% code-level observability with Lightrun. Insert logs and metrics in real-time even while the service is running. Debug monolith microservices, Kubernetes, Docker Swarm, ECS, Big Data workers, serverless, and more. Quickly add a missing logline, instrument a metric, or place a snapshot to be taken on demand. No need to replicate the production environment or re-deploy. Once the instrumentation is invoked, the data is printed to the log analysis tool, your IDE, or to an APM of your choice. Analyze code behavior to find bottlenecks and errors without stopping the running process. Easily add large amounts of logs, snapshots, counters, timers, function durations, and more. You won’t stop or break the system. Spend less time debugging and more time coding. No more restarting, redeploying and reproducing when debugging. -
23
AgentHub
AgentHub
AgentHub is a staging environment to simulate, trace, and evaluate AI agents in a private, sandboxed space that lets you ship with confidence, speed, and precision. With easy setup, you can onboard agents in minutes; a robust evaluation infrastructure provides multi-step trace logging, LLM graders, and fully customizable evaluations. Realistic user simulation employs configurable personas to model diverse behaviors and stress scenarios, and dataset enhancement synthetically expands test sets for comprehensive coverage. Prompt experimentation enables dynamic multi-prompt testing at scale, while side-by-side trace analysis lets you compare decisions, tool invocations, and outcomes across runs. A built-in AI Copilot analyzes traces, interprets results, and answers questions grounded in your own code and data, turning agent runs into clear, actionable insights. Combined human-in-the-loop and automated feedback options, along with white-glove onboarding and best-practice guidance. -
24
Honeycomb
Honeycomb.io
Log management. Upgraded. With Honeycomb. Honeycomb is built for modern dev teams to better understand application performance, debug & improve log management. With rapid query, find unknown unknowns across system logs, metrics & traces with interactive charts for the deepest view against raw, high cardinality data. Configure Service Level Objective (SLOs) on what users care about so you cut-down noisy alerts and prioritize the work. Reduce on-call toil, ship code faster and keep customers happy. Pinpoint the cause. Optimize your code. See your prod in hi-res. Our SLOs tell you when your customers are having a bad experience so that you can immediately debug why those issues are happening, all within the same interface. Use our Query Builder to easily slice and dice your data to visualize behavioral patterns for individual users and services (grouped by any dimensions).Starting Price: $70 per month -
25
Stetho
Meta
Stetho is a sophisticated debug bridge for Android applications. When enabled, developers have access to the Chrome Developer Tools feature natively part of the Chrome desktop browser. Developers can also choose to enable the optional dumpapp tool which offers a powerful command-line interface to application internals. Alternatively, you can include Stetho from Maven Central via Gradle or Maven. Only the main Stetho dependency is strictly required, however you may also wish to use one of the network helpers. The integration with the Chrome DevTools frontend is implemented using a client/server protocol which the Stetho software provides for your application. Network inspection is possible with the full spectrum of Chrome Developer Tools features, including image preview, JSON response helpers, and even exporting traces to the HAR format. SQLite databases can be visualized and interactively explored with full read/write capabilities. -
26
Base AI
Base AI
The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command. Developers use Base AI to develop high-quality AI agents with memory (RAG) using TypeScript and then deploy serverless as a highly scalable API using Langbase (creators of Base AI). Base AI is web-first with TypeScript support and a familiar RESTful API. Integrate AI into your web stack as easily as adding a React component or API route, whether you're using Next.js, Vue, or vanilla Node.js. With most AI use cases on the web, Base AI helps you ship AI features faster. Develop AI features on your machine with zero cloud costs. Git integrates out of the box, so you can branch and merge AI models like code. Complete observability logs let you debug AI-like JavaScript, and trace decisions, data points, and outputs. It's like Chrome DevTools for your AI.Starting Price: Free -
27
Spark Inspector
Spark Inspector
With a three-dimensional view of your app's interface and the ability to change view properties at runtime, Spark can help you craft the best apps on earth. Wiring your app together with notifications? Spark's notification monitor shows you each NSNotification as it's sent, complete with a stack trace, a list of recipients and invoked methods, and more. Understand app structure at a glance and debug smarter. Connect your app to the Spark Inspector, and you'll see your app's interface front and center. As you interact with your app, the inspector updates in real-time! We monitor every change to your app's view hierarchy so you can always see what's going on. The view of your app you see in Spark isn't just beautiful, it's completely editable. You can modify almost every property of your views, from their class-level attributes to their CALayer transforms. When you make a modification, Spark invokes a method call within your app to directly modify that property.Starting Price: $49.99 one-time payment -
28
Autoblocks AI
Autoblocks AI
Autoblocks is an AI-powered platform designed to help teams in high-stakes industries like healthcare, finance, and legal to rapidly prototype, test, and deploy reliable AI models. The platform focuses on reducing risk by simulating thousands of real-world scenarios, ensuring AI agents behave predictably and reliably before being deployed. Autoblocks enables seamless collaboration between developers and subject matter experts (SMEs), automatically capturing feedback and integrating it into the development process to continuously improve models and ensure compliance with industry standards. -
29
Langfuse
Langfuse
Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export dataStarting Price: $29/month -
30
Byne
Byne
Retrieval-augmented generation, agents, and more start building in the cloud and deploying on your server. We charge a flat fee per request. There are two types of requests: document indexation and generation. Document indexation is the addition of a document to your knowledge base. Document indexation, which is the addition of a document to your knowledge base and generation, which creates LLM writing based on your knowledge base RAG. Build a RAG workflow by deploying off-the-shelf components and prototype a system that works for your case. We support many auxiliary features, including reverse tracing of output to documents, and ingestion for many file formats. Enable the LLM to use tools by leveraging Agents. An Agent-powered system can decide which data it needs and search for it. Our implementation of agents provides a simple hosting for execution layers and pre-build agents for many use cases.Starting Price: 2¢ per generation request -
31
Xdebug
Xdebug
Xdebug is an extension for PHP, and provides a range of features to improve the PHP development experience. A way to step through your code in your IDE or editor while the script is executing. An improved var_dump() function, stack traces for notices, warnings, errors, and exceptions to highlight the code path to the error. Writes every function call, with arguments and invocation location to disk. Optionally also includes every variable assignment and return value for each function. Allows you, with the help of visualization tools, to analyze the performance of your PHP application and find bottlenecks. Shows which parts of your code base are executed when running unit tests with PHPUnit. Installing Xdebug with a package manager is often the fastest way. You can substitute the PHP version with the one that matches the PHP version that you are running. You can install Xdebug through PECL on Linux & macOS with Homebrew.Starting Price: Free -
32
Hyground
Hyground
Hyground is an AI-powered DevOps and SRE co-pilot — not a chatbot wrapper, but a full-stack operational intelligence system that runs inside the customer's Kubernetes cluster with no data egress. The agent connects to 21+ enterprise systems and investigates incidents across logs, metrics, traces, and K8s events. Engineers ask questions in plain language and get answers grounded in their own data — no new query languages to learn. AutoRCA turns an alert webhook into an autonomous root-cause investigation, then posts findings back to Slack or Teams. Investigation starts the instant an alert fires, not when an engineer wakes up. Customers report up to 85% MTTR reduction. Built on Google's Agent Development Kit, Hyground uses a multi-agent architecture and learns from your infrastructure over time. Resolved incidents extend the knowledge base, so runbooks stay current. -
33
Traced Trustd MTD
Traced
Traced Trustd MTD for businesses delivers groundbreaking MTD (mobile threat defense) that gives you immediate visibility and analysis of mobile threats. Every personal and business-owned mobile device is a gateway to business data and a route to your network. The Traced app protects your mobile devices and Traced Trustd MTD gives your IT and security teams the tools they need to protect your business. Traced protects employee devices from application, network and device-based threats including malware, phishing, rogue WiFi, unauthorized screen, camera and microphone access, permissions abuse and device exploits. The Traced Deep Learning engine detects both known and unknown malicious apps and provides you with crucial information for your analysis, investigation and response. WiFi protection alerts both the device and in Traced Trustd MTD when a user connects to a compromised or insecure WiFi network.Starting Price: £9/device/year -
34
Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
35
Jam
Jam
If you’ve taken a screenshot or screen recording, you already know how to Jam. Jam auto-magically creates bug reports with all the info engineers need. Jam creates better bug reports in whatever tool you use. Share links to your bug reports or send them directly to your favorite issue tracker. Your teammates benefit whether they’ve signed up or not. Jam captures everything an engineer needs to debug. We've cut out the need for all those follow-up calls to share more context. Everything they need is right there. Perfect bug reports, every time. No more back and forth. Integrates tightly with your favorite issue trackers & tools. As easy as taking a screenshot. Trusted by thousands of teams at companies. Report bugs in seconds, without disrupting your workflow. Jam currently supports developers during the code review and testing cycles by capturing bug diagnostic data and instantly replaying the bug to seamlessly identify what needs to be fixed.Starting Price: $10 per month -
36
FlowLens
Magentic AI
FlowLens is an AI-native debugging and session-recording tool that captures everything needed for correct, context-aware bug diagnosis and lets AI coding agents fix bugs autonomously. With a simple browser extension and optional MCP server, FlowLens records full user sessions, including video of the UI, network-request data, console logs, user interactions (clicks, inputs, navigation), storage state (cookies, local/session storage), system info, and more, all synchronized on a unified timeline. Once a bug is reproduced, FlowLens bundles that complete context into a single “flow” that can be shared via link. AI coding agents compatible with MCP (such as those from major providers) can then load the flow, inspect network activity, error logs, UI state, and user inputs, and automatically analyze root causes and suggest or even generate code fixes. This removes the need for manual replays, copying and pasting logs, or writing verbose bug descriptions.Starting Price: $11 per month -
37
Z/XDC
ColeSoft
Z/XDC gives developers interactive, source-level debugging for mainframe programs across any z/OS environment, helping them step through live code, inspect variables in real time, and resolve issues faster than traditional methods. It eliminates blind debugging by providing complete, real-time visibility into program execution and bringing modern debugging capabilities to mainframe development. Developers can dramatically reduce debugging time from days to hours, test theories immediately without lengthy recompile cycles, make ad hoc changes, perform “what if” scenarios, fix issues, and verify corrections without recompiling. Z/XDC supports line-by-line code stepping, on-the-fly code changes, flag flipping, data field and register modification, PSW control, module loading and deletion, GETMAINs and FREEMAINs, and Event Control Block posting. It provides source-level visibility so developers can view code as written, automatically load source image maps from ADATA, and more. -
38
Trace
Trace
Trace is an AI-native PCB design platform that takes hardware teams from idea to manufactured board. It combines professional schematic capture and PCB layout tools with intelligent agents that understand hardware in context. Users describe what they want to build in natural language, and Trace can research the problem, generate hierarchical multi-sheet schematics, parse datasheets, suggest components, check real-time availability, place parts, route multi-layer boards, tune matched-length signals, and run ERC, DRC, and design reviews. Its component library includes more than 30,000 symbols and footprints, with sourcing data from major distributors. Plan Mode researches complex tasks, asks clarifying questions, creates a step-by-step plan, and executes only after approval, while TraceRules preserves component preferences, layout constraints, and manufacturing targets across conversations.Starting Price: $20 one-time payment -
39
StackPilot
StackPilot
StackPilot is an AI-powered oncall copilot that automates root cause analysis and bug fixes for software engineers. It integrates directly with observability tools like Datadog, Sentry, and PagerDuty to transform alerts into actionable fixes. The platform analyzes recent commits, logs, and stack traces to pinpoint faulty code, then generates pull requests with proposed solutions. Engineers only need to review and merge, significantly cutting resolution time from hours to an average of 15 minutes. StackPilot also captures investigative steps and converts them into reusable runbooks, improving incident response over time. With strong privacy measures—no code or logs stored—it ensures secure, real-time analysis for engineering teams.Starting Price: Free -
40
Lamatic.ai
Lamatic.ai
A managed PaaS with a low-code visual builder, VectorDB, and integrations to apps and models for building, testing, and deploying high-performance AI apps on edge. Eliminate costly, error-prone work. Drag and drop models, apps, data, and agents to find what works best. Deploy in under 60 seconds and cut latency in half. Observe, test, and iterate seamlessly. Visibility and tools ensure accuracy and reliability. Make data-driven decisions with request, LLM, and usage reports. See real-time traces by node. Experiments make it easy to optimize everything always embeddings, prompts, models, and more. Everything you need to launch & iterate at scale. Community of bright-minded builders sharing insights, experience & feedback. Distilling the best tips, tricks & techniques for AI application development. An elegant platform to build agentic systems like a team of 100. An intuitive and simple frontend to collaborate and manage AI applications seamlessly.Starting Price: $100 per month -
41
LayerLens
LayerLens
LayerLens is an independent AI model evaluation platform for understanding how models perform through verified results across benchmarks, prompt-level results, agentic benchmarks, and audit-ready comparisons across vendors. It helps teams compare more than 200 AI models side by side, with transparent benchmarks, model comparison tools, and consistent evaluation methods for accuracy, latency, behavior, and real-world applicability. LayerLens is built for deep model analysis through Spaces, where teams can group benchmarks and evaluations, explore task strengths, and track performance patterns in context. It supports continuous evaluation by running ongoing evals across model versions, prompt changes, judge updates, and live traces, helping teams detect quality regressions, drift, silent failures, contamination, and policy issues before they affect production. -
42
Shoreline
Shoreline.io
Shoreline is the Cloud Reliability platform — the only platform that lets DevOps engineers build automations in an afternoon, and fix issues forever. Shoreline reduces on-call complexity by running across clouds, Kubernetes clusters, and VMs allowing operators to manage their entire fleet as if it were a single box. Debugging and repairing issues is easy with advanced tooling for your best SREs, automated runbooks for the broader team, and a platform that makes building automations 30X faster. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. -
43
Trace.Space
Trace.Space
Trace.Space is an AI-native requirements and traceability platform designed to accelerate systems engineering and manage complexity across large-scale product development workflows. It enables teams to import requirements, tests, and change logs from multiple sources, such as PDFs, documents, Jira, Git, and APIs, and automatically organizes them into a centralized system. Using AI, it generates trace links, detects missing coverage, and flags inconsistencies across requirements, design artifacts, and testing layers, turning fragmented data into a connected, living graph. It continuously analyzes this trace graph to identify risks, broken links, and downstream impacts before they cause delays, helping teams remove blockers early in the development process. Trace.Space supports real-time collaboration, allowing teams to review, comment, and approve changes while maintaining full traceability of decisions and their impact across hardware, software, and systems engineering. -
44
Agenta
Agenta
Agenta is an open-source LLMOps platform designed to help teams build reliable AI applications with integrated prompt management, evaluation workflows, and system observability. It centralizes all prompts, experiments, traces, and evaluations into one structured hub, eliminating scattered workflows across Slack, spreadsheets, and emails. With Agenta, teams can iterate on prompts collaboratively, compare models side-by-side, and maintain full version history for every change. Its evaluation tools replace guesswork with automated testing, LLM-as-a-judge, human annotation, and intermediate-step analysis. Observability features allow developers to trace failures, annotate logs, convert traces into tests, and monitor performance regressions in real time. Agenta helps AI teams transition from siloed experimentation to a unified, efficient LLMOps workflow for shipping more reliable agents and AI products.Starting Price: Free -
45
LocatePLUS
LocatePLUS
LocatePLUS is the nation’s leading provider of accurate, in-depth investigative and skip-tracing data. The LocatePLUS database consists of billions of current historical, cross-referenced public and private records. The latest technology and comprehensive reports save time and money. Our case management system will make your job easier than ever. LocatePLUS’ proprietary online investigative databases allow our users to access billions of public and non-public skip-tracing records and information from any internet browser. Our web-based investigative search tools and skip trace software match and link data based on the specified search parameters inputted by our users. The LocatePLUS skip tracing tools and law enforcement software provide an abundance of available, cross-referenced records found in the hundreds of databases we query. LocatePLUS takes reliability and compliance seriously, our data center is SSAE 16 certified.Starting Price: $99.95 per month -
46
TierZero
TierZero
TierZero Production Agents investigate incidents, triage alerts, and fix production problems automatically so your engineers can ship faster. When an incident fires, TierZero joins and starts investigating across your full stack: logs, traces, metrics, deploys, code changes, and past incidents. Unlike standalone AI SRE tools that stop at triage, Production Agents cover the full post-merge lifecycle including investigation, remediation, support Q&A, and proactive discovery. TierZero’s Context Engine synthesizes signals from code, infrastructure, conversations, and documents into a living knowledge graph that gets smarter with every issue resolved. Deploy in your environment in under an hour. Every AI investigation is auditable. Built for regulated industries (fintech, healthcare, crypto) where security isn’t optional. -
47
TraceVeil
TraceVeil
TraceVeil is an evidence-driven entity resolution and identity intelligence engine. Uncover operational links between companies, properties, and people for asset discovery, fraud investigations, and skip tracing. TraceVeil sits in the underserved middle: professionals who need entity resolution depth but can't justify enterprise pricing. This includes private investigators, asset recovery specialists, litigation support teams, OSINT researchers, investigative journalists, and compliance analysts at small to mid-size firms.Starting Price: $10/month -
48
Acceleon
Acceleon
Built for mercantile and refund agents, investigative roles, finance, real estate, and accounts receivables. Our locate single and locate batch products are default tools for single and volume searching, allowing you to locate consumers and businesses. Skip tracing is a professional process used to trace someone who is difficult to find. It allows skip tracers to collect available information and use it to locate an individual or business. Our products have a mechanism to automatically skip trace lost customers. Information is produced in relation to addresses. telephone numbers and email addresses. Our web-based portal and broad cross-referencing help you quickly and efficiently find the up-to-date information you need on individuals and businesses. Fuzzy name searching effectively handles any misspelled, nicknames or aliases. Every record contains a wealth of secondary information, like occupancy length, co-inhabitants, or propensity to pay. -
49
Open Agent Studio
Cheat Layer
Open Agent Studio is not just another co-pilot it's a no-code co-pilot builder that enables solutions that are impossible in all other RPA tools today. We believe these other tools will copy this idea, so our customers have a head start over the next few months to target markets previously untouched by AI with their deep industry insight. Subscribers have access to a free 4-week course, which teaches how to evaluate product ideas and launch a custom agent with an enterprise-grade white label. Easily build agents by simply recording your keyboard and mouse actions, including scraping data and detecting the start node. The agent recorder makes it as easy as possible to build generalized agents as quickly as you can teach how to do it. Record once, then share across your organization to scale up future-proof agents. -
50
Synergy
Unframe
Synergy is an AI-native command center for enterprise IT operations that unifies siloed monitoring, ticketing, logging, and documentation into a single pane of glass. It continuously correlates signals across tools like Splunk, New Relic, Jira, ServiceNow, and Confluence to turn alert storms into clear, prioritized insights. Synergy’s Smart Incident Workflows automate routine tasks, suggest next steps, flag ownership gaps, and accelerate resolution to cut mean time to detection and repair. Its proactive monitoring detects risks before traditional alerts trigger, flags error spikes and missed escalations, recognizes emerging patterns, and answers investigative queries in natural language. Built-in root cause analysis traces incidents end-to-end across time, logs, metrics, tickets, and post-mortems, links to similar events for instant context, and generates concise summaries.
