20 Agnost AI alternatives
Agnost AI: Reads your production chat and voice agent conversations to surface the silent failures, frustration loops and policy breaches that offline evals never catch. 20 apps do similar work, most sharing Observability, Evaluation and Monitoring, ranked by how much they have in common with Agnost AI.
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An OpenTelemetry-native control plane for AI agents that enforces policy mid-run instead of paging you after the incident, with cost attribution and EU AI Act evidence built in.
Also: Agents, Monitoring, Observability, OpenTelemetry
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Prefactor Pty Ltd
Agent observability and evaluation that scores every production run for quality, drift and risk — and can pause or block a risky action before it executes.
Also: Evaluation, Monitoring, Observability
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Open-source, OpenTelemetry-native observability platform for logs, metrics and traces — with first-class tracing for LLM calls and agent runs.
Also: Analytics, Monitoring, Observability
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Arize AI
AI engineering platform for tracing, evaluating and improving LLM apps and agents — with Phoenix, its open-source local-first counterpart, for teams that want to start without a vendor.
Also: Agents, Evaluation, Observability
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Dataiku
Finds every AI agent an enterprise is running across AWS, Databricks, Google, Microsoft, Salesforce and Snowflake, then measures and risk-ranks them.
Also: Agents, Monitoring, Observability
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Tatva Labs Inc.
Continuous automated QA for voice and chat AI agents, from pre-launch simulation to live call monitoring.
Also: Evaluation, Monitoring
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Session replay, error tracking and vision-AI agents in one SDK — agents watch real user sessions on a schedule, file the bugs they find and post to Slack.
Also: Monitoring, Observability
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The standard experiment tracker for machine learning, now with tracing and evaluation for LLM applications.
Also: Evaluation, Observability
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Evaluation-first AI development — measure whether a prompt or model change actually improved anything.
Also: Evaluation, Observability
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Open-source LLM observability — trace, evaluate, and improve AI applications with production data.
Also: Evaluation, Observability
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An AI on-call agent that drops read-only probes into running production code, capturing live variable snapshots and stack context without a redeploy or a restart.
Also: Monitoring, Observability
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The framework and observability platform most teams use to build, debug, and ship LLM agents.
Also: Evaluation, Observability
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Warehouse-native product analytics that joins AI agent traces to user behaviour, so you can see which tool calls actually convert.
Also: Analytics, Observability
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Security scanner and runtime monitor for AI agents that audits skills, MCP servers and CLI tools for malicious code and prompt injection.
Also: Agents, Monitoring
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Agentic data platform that turns business questions into defensible, auditable narratives — with sources, assumptions and lineage attached.
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Writesonic is an AI search visibility platform that tracks how ChatGPT, Gemini and Google AI Overviews mention your brand and helps you improve it.
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Run agent evals and private benchmarks in sandboxed cloud environments — compare Claude Code, Codex, Cursor and Copilot on the same real tasks.
Also: Evaluation
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Microsoft
Microsoft's open-source optimizer that trains an agent's SKILL.md like a model parameter — epochs, learning-rate budgets and a held-out validation gate, with frozen weights.
Also: Evaluation
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Open-source testing and evals platform for MCP servers — trace tool calls, debug OAuth, and catch cross-client regressions in CI.
Also: Evaluation
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Agentic IDE that runs coding agents, self-healing QA tests and production monitoring in one workspace so fixes reach a PR automatically.
Also: Monitoring