AI · alternatives · 2026
24 alternatives to Retrace
Retrace 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
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Rerun▲301The easiest way to build AI agents for all your tasks
Jul 2026 · rerun.build · its alternatives →
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Automated Penetration Testing for AI-Built Apps
2021 · replay.io · its alternatives →
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SkillForge▲102Stop repeating the same clicks and typing every day. Record a task once and SkillForge turns it into a skill your AI assistant (Claude, ChatGPT) replays for you. No coding. Free to start.
Feb 2026 · skillforge.expert · 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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Tracea▲80Datadog for AI agents with traces, RCA, and team memory
May 2026 · tracea.dev · 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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traceAI▲273Open-source LLM tracing that speaks GenAI, not HTTP.
Apr 2026 · github.com · its alternatives →
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No one’s got money for another AI subscription. So we made our browser agent totally FREE. What's the catch? Just ads while Retriever AI fetches you leads, does your exams, applied to jobs, and sends connection requests. Think like a Claude Code or Clay level tool in your browser, but free for everyone! After 35K+ users and 7M+ workflows, we spent the last few months attacking the cost of every agent step: - switching to DeepSeek Flash - Code Mode to one shot complex workflows - optimizing for 80%+ token cache hits So that now just an ad impression covers the entire cost of the agent (LLM…
2025 · rtrvr.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 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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Glassbrain▲102Visual trace replay for AI apps to fix bugs in one click
Apr 2026 · glassbrain.dev · its alternatives →
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AgenticLens▲64Visual debugging, tracing, and replay for agent workflows
Apr 2026 · agenticlens.in · its alternatives →
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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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Nathan here, one of the people who built Retrace. Happy to answer technical questions. Retrace records a CPython application's interactions with the nondeterministic outside world i.e. network, DB, filesystem, time, randomness, subprocesses, and lets you replay that execution locally and deterministically. The goal is to take a production failure and open the same execution in VS Code, with the ability to step forwards and backwards through the replay. The core idea is to record boundary crossings rather than tracing every Python line in production. External calls are recorded as…
May 2026 · github.com · its alternatives →
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Etch▲5Trace, replay, and verify every AI agent decision.
Jul 2026 · etch.systems · its alternatives →
- 16
Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com · its alternatives →
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We built meta-agent: an open-source library that automatically and continuously improves agent harnesses from production traces. Point it at an existing agent, a stream of unlabeled production traces, and a small labeled holdout set. An LLM judge scores unlabeled production traces as they stream. A proposer reads failed traces and writes one targeted harness update at a time, such as changes to prompts, hooks, tools, or subagents. The update is kept only if it improves holdout accuracy. On tau-bench v3 airline, meta-agent improved holdout accuracy from 67% to 87%. We open-sourced meta-agent.…
Apr 2026 · github.com · its alternatives →
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Mirrors rebuilds the systems your AI agents call and replays real sessions against every prompt, tool, or model change before it reaches production.
Jul 2026 · runmirrors.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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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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Cut LLM costs. Free audit, pay only if it works.
Jun 2026 · decomp-ai.vercel.app · its alternatives →
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Recall▲16One developer solves it. Every developer knows it.
Feb 2026 · recall.team · its alternatives →
- 24
AI Agents: Stop guessing why they fail. Rewind memory.
Jan 2026 · blickstate.com · its alternatives →
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