Comparison

Agentry vs Highlight.io

Closest positioning competitor — both bundle errors, session replay, and product analytics. Highlight adds distributed tracing + full-text log aggregation and is open-source (self-hostable). Agentry is managed-only and agent-first: the AI agent in your editor IS the dashboard.

TL;DR

Pick Highlight.io if

  • You need distributed tracing (OpenTelemetry-compatible) and full-text log aggregation alongside errors and replay
  • You need self-hosted / open-source for compliance, cost, or data-residency reasons
  • Your team's workflow is "open the dashboard, watch the replay, read the trace" — Highlight's web UI is polished and mature
  • You ship native mobile apps and need iOS / Android SDKs
  • You need a comparison-mature product with longer track record

Pick Agentry if

  • Your team debugs from an AI coding agent (Claude Code, Cursor, Codex, Cline, Windsurf) and the dashboard is friction
  • You want a smaller scope (errors + analytics + deploys, no log aggregation, no tracing) and less to configure
  • You don't want to install an SDK — raw fetch is enough
  • You want first-class public embeddable dashboards via a read-only key
  • You're a small-to-mid engineering team where the agent-first UX outweighs raw feature breadth

Feature comparison

Capability Highlight.io Agentry
Error monitoring Yes Yes
Session replay Yes — polished player, state inspection Yes — PostHog-backed
Product analytics Yes — built-in Yes — HogQL on PostHog
Distributed tracing (OpenTelemetry) Yes No
Log aggregation (full-text search) Yes Structured-event only
Frontend perf (Core Web Vitals) Yes No
Mobile SDKs (iOS/Android) Yes No (raw HTTP works)
Self-hosted / open-source Yes — MIT, source on GitHub No — managed-only
Deploy attribution Limited First-class
AI-assisted Yes — error grouping/summaries in their dashboard The AI agent IS the dashboard (MCP)
SDK install required Yes (replay + tracing need their SDK) No — fetch only
Pricing Open-source / per-session paid tier Free during beta, usage-based later

When Highlight.io is the right call

Highlight is the right tool when you need the broader observability surface — distributed tracing (OpenTelemetry-native), backend log aggregation with full-text search, and frontend performance monitoring — bundled with errors and replay. That's a meaningfully larger product than Agentry covers, and Highlight does it well.

Open-source is the second strong reason. The Highlight code is on GitHub under MIT; you can self-host for data-residency, compliance, cost-control, or audit reasons. If "we need to run this on our infrastructure" is a procurement gate, Agentry (managed-only) won't clear it. Use Highlight.

Highlight's web UI is also more mature — longer-lived product, more polish, AI-assisted error grouping in the dashboard itself. If your team's workflow centres on watching replays and reading traces in a browser tab, that's where Highlight earns its keep.

When Agentry is the right call

Agentry is the right tool when your team already debugs from an AI coding agent (Claude Code, Cursor, Codex, Cline, Windsurf). The primary interface is the MCP server running in your editor, not a web dashboard. You ask the agent "what broke after my last deploy?" — it pulls cases, queries analytics, reads recent deploys, and drafts the fix in the same conversation. Highlight has a polished dashboard; Agentry doesn't because it's not pointing at one.

Agentry also wins on install footprint. Highlight requires their SDK for session replay and tracing to work; Agentry's entire instrumentation is a ~25-line fetch helper your agent generates at install time. No language SDK to keep up to date, no version migrations.

And if you don't need tracing or log aggregation — most product engineering teams don't, day-to-day — Agentry's smaller scope is an advantage. Less to learn, less to configure, less monthly billing pressure to keep using all the features.

Migrating from Highlight.io

If you don't actually use Highlight's tracing or log-aggregation features (a lot of teams turn them on, never look at the data, keep paying), the path to Agentry is dual-writing errors + analytics events for a week. Agentry's three POST endpoints (/v1/logs/, /v1/analytics/, /v1/deploys/) cover the signals most teams actually query. If after a week you miss tracing, stay on Highlight.

These recipes cover the use cases Highlight users care about:

Try Agentry against your real data.

Dual-write for a week. Compare. Switch if it's better. The agent handles install — you just paste one prompt.

Install https://agentry.sh/agentry.md and set it up
Agentry vs Sentry → Agentry vs PostHog → Agentry vs Mixpanel → Agentry vs Datadog → Agentry vs LaunchDarkly → Agentry vs Amplitude → Agentry vs LogRocket →