AI · alternatives · 2026
24 alternatives to Traceprompt
Hi HN! I’m Paul, founder of Traceprompt. We’re building an open-source SDK that wraps your AI agents and generates tamper-proof audit trails, so you can prove what agent did what, when and with which model. You can check out the Node SDK (more languages coming soon): https://github.com/traceprompt/traceprompt-node We built Traceprompt because LLMs are being used everywhere without a clear plan for audit and compliance. From research and discussions with other devs, I often see fintech and healthcare teams manually stitching together API Gateway, CloudWatch Logs and S3…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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TraceRoot.AI▲342Fix bugs faster with open source, AI native observability
2025 · traceroot.ai · its alternatives →
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traceAI▲273Open-source LLM tracing that speaks GenAI, not HTTP.
Apr 2026 · github.com · its alternatives →
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Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…
Dec 2025 · truefoundry.com · its alternatives →
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Dageno AI▲235Go beyond tracking. Dageno AI is the only platform bridging GEO audits to autonomous agent execution. Fix visibility gaps in ChatGPT & Perplexity instantly.
Apr 2026 · dageno.ai · its alternatives →
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OpenTelemetry-native observability for agents and LLMs
Aug 2026 · openobserve.ai · its alternatives →
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Breadcrumb▲163Open-source LLM tracing for agent visibility
Mar 2026 · breadcrumb.sh · its alternatives →
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Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.
Aug 2026 · telerik.com · its alternatives →
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Trails▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
Jan 2026 · trails-red.vercel.app · its alternatives →
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Retracefree tier, from $29/mo▲101Retrace records your AI agents runs so you can replay them step by step, fork from any point to a fix, and share the result as a link
Jul 2026 · retraceai.tech · its alternatives →
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Trace-AI▲146Know What You Ship. Secure What You Depend On.
Oct 2025 · trace-ai.dev · its alternatives →
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Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
Jul 2026 · oodle.ai · its alternatives →
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If you've built any web-based app in the last 15 years, you probably used something like Datadog, New Relic, Sentry, etc. to monitor and trace your app, right? Why should it be different when the app you're building happens to be using LLMs? So today we're open-sourcing OpenLLMetry-JS. It's an open protocol and SDK, based on OpenTelemetry, that provides traces and metrics for LLM JS/TS applications and can be connected to any of the 15+ tools that already support OpenTelemetry. Here's the repo: https://github.com/traceloop/openllmetry-js A few months ago we launched…
2024 · github.com · its alternatives →
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Auditi▲4I've been building AI agents at work and the hardest part isn't the prompts or orchestration – it's answering "is this agent actually good?" in production. Tracing tells you what happened. But I wanted to know how well it happened. So I built Auditi – it captures your LLM traces and spans and automatically evaluates them with LLM-as-a-judge + human annotation workflows. Two lines to get started: auditi.init(api_key="...") auditi.instrument() # monkey-patches OpenAI/Anthropic/Gemini Every API call is captured with full span trees, token usage, and costs. No code changes to your…
Feb 2026 · github.com · its alternatives →
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Tracea▲80Datadog for AI agents with traces, RCA, and team memory
May 2026 · tracea.dev · its alternatives →
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Hey Xinwei and Zecheng here, we are the authors of TraceRoot (https://github.com/traceroot-ai/traceroot). TraceRoot (https://traceroot.ai) is an open-source debugging platform that helps engineers fix production issues faster by combining structured traces, logs, source code contexts and discussions in Github PRs, issues and Slack channels, etc. with AI Agents. At the heart are our lightweight Python (https://github.com/traceroot-ai/traceroot-sdk) and TypeScript (https://github.com/traceroot-ai/traceroot-sdk-ts) SDKs -…
2025 · github.com · its alternatives →
- 17TO
I built TraceAIO, an open-source tool that prompts LLMs on your behalf and tells you whether ChatGPT, Perplexity, and Gemini mention your brand — and which competitors and sources show up instead. Yeah, this category smells a bit like a grift, same as early SEO. And I think over time it will become just SEO again, and become about good content. The tool just helps you monitor over time. It queries the browser products through real browser sessions, not APIs, runs on Docker, with an MCP server so you can query your own data through an LLM. No business model, Apache 2.0, self hosted. If you…
Jun 2026 · traceaio.org · its alternatives →
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Love OpenClaw? Now ship it to production. Built in Rust.
Feb 2026 · github.com · its alternatives →
- 19TA
Traces is a new way to share and discover agent traces. You can setup a personal or team account, and share publicly or privately (in a team). We use Traces internally to capture and share our agent conversations. Every PR has a Traces link attached to it. We even have skills that can automate that for you (run 'traces setup' after install). You might ask: 1) Why would I share traces? Well, we have found ourselves wanting to learn from each other on how to prompt different models and agents. We built Traces as a tool for teams to learn that together, and for us to learn that as an open…
Mar 2026 · traces.com · its alternatives →
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Hi HN, There’s been a lot of discussion lately around context graphs, decision traces, and how AI systems reason. One thing we kept running into: when AI agents make real decisions, the why behind those decisions often disappears. The context is scattered across prompts, tools, policies, and approvals. Logs show what happened, but not why it was allowed. TraceMem is an attempt to make decision context durable. It records the reasoning, authority, and context behind AI actions as a system of record, not as monitoring data, but as memory. Happy to share more details or answer questions. - Tommi
Jan 2026 · tracemem.com · its alternatives →
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Spec27▲34Hi HN! We’re a team of ML validation specialists and we’ve been building /Spec27, a tool for testing whether AI agents still do their job safely and reliably as models, prompts, tools, and surrounding systems change. We started working on this because a lot of current LLM evaluation work seems aimed at scoring general model behavior, while many teams are deploying systems that have a specific mission to fulfill. Many of the tools also assume you have full access to the agent stack and traces so you can place SDKs and Gateways, but a lot of agents are being created on vendor platforms…
Apr 2026 · spec27.ai · its alternatives →
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Hi everyone! My team and I just open-sourced a bunch of cool agent dev tools: Invariant Explorer to visually inspect and understand AI traces and a testing framework, building on pytest.
2024 · github.com · its alternatives →
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Static analysis for TypeScript / JavaScript LLM-application code. OWASP LLM Top 10 at commit time. A complement to Semgrep's p/ai-best-practices for the TS/JS ecosystem. - Javierlozo/llm-audit
2025 · llmaudit.ai · its alternatives →
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At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk
Dec 2025 · laminar.sh · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →