Head to head · Agent tracing · October 2026 research run

Agent Tree vs Laminar API + MCP

Laminar API + MCP scores 56.8 (C) on agent readiness against Agent Tree's 52.5 (D), and leads in 5 of 7 scored categories. Agent Tree leads on payments & pricing. Both do agent tracing.

Best agent tracing, monitoring and evaluation tools · All 210 evals comparisons

Which one, for what

Agent Tree D

Best for Watching and steering Claude Code sub-agents from a side pane

Ahead on

  • Payments & pricing, 60 against 30

Also in its favour

  • No key needed to call it
  • No incidents deducted, where Laminar API + MCP loses 5 points for them

Watch for

Version 0.5.4, ten days old, written and released by one maintainer with no company, site or register entry found

Laminar API + MCP C

Best for Teams running browser agents who want session replay next to traces, and for agents that read traces through SQL.

Ahead on

  • Reliability, 50 against 33
  • Schema & documentation, 88 against 50
  • Agent ergonomics, 80 against 67
  • Maintenance & community, 83 against 60

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

A cross-tenant SQL execution and export hole was fixed on 27 August 2026 in a commit, with no advisory

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Schema & documentation Laminar API + MCP +38

Agent Tree 50

Framework reading, docs a model can follow, as superpowers was read. types/index.d.ts types the pane's state, and plugin.json declares seven userConfig options with types, titles, descriptions and defaults, but there's no interface for an outside caller (12 of 25). README in English and German, a nine-step GUIDE.md and PRIVACY.md, all Markdown in the repository; no llms.txt (10). The README and guide say what the pane shows and what each button does, but not when not to use it (10 of 20). Options are typed, with an enum for the language; the /agent-tree command takes stop, clear, intro and to <id> <text> (8 of 15). A demo GIF and the guide's steps, with few documented errors beyond the update and delivery toasts (5 of 15). Semver tags but no changelog or release notes read (5 of 15). 50 in all.

Laminar API + MCP 88

OpenAPI in the docs, and the MCP tools take typed schemas generated from Rust structs (25). llms.txt and Markdown docs (10). The tool descriptions are among the best in the category. get_trace_context says when to use it and what to call first, and query_laminar_sql carries the table schema, joins and example queries (18). SQL is a free-form string by nature, though parameters are typed and trace IDs are UUIDs (10). The SQL API documents its 400, 401 and 429 bodies with examples (13). Monthly changelog without dates per entry, and a /v1 API (12).

Payments & pricing Agent Tree +30

Agent Tree 60

Self-hosted rule. No payment protocol (0). Free under MIT with nothing to buy (20). No card or account (20). A person installs it with one command and no sign-up (20). 60 in all.

Laminar API + MCP 30

No x402 (0). Per-GB prices and Signals token prices published without login (20). The Free plan exists with 1 GB and 7 days, but the pricing page doesn't say whether a card is needed, so half (10). A person signs up in a browser to create a project key (0).

Maintenance & community Laminar API + MCP +23

Agent Tree 60

v0.5.4 tagged on 29 October 2026 and a commit on 31 October (30). 19 tags from v0.2.2 (24 October) to v0.5.4 (29 October), far more than three in 90 days (20). Issue and pull-request replies couldn't be read, as github.com was unreachable (5 of 25). Not in Claude's official plugin directory; claude.com/plugins/agent-tree answered 404 (0). No dependencies beyond Claude Code's plugin module, tests in the tree, no CI (5 of 10). 60 in all.

Laminar API + MCP 83

TypeScript SDK 0.8.49 on 2026-09-23, Python SDK 0.7.64 on 2026-09-21 and server v0.2.5 on 2026-09-13, with commits on the dev branch on 1 October (30). Five server tags and well over three SDK releases since 3 July (20). We couldn't load issue reply times (10). Both SDKs current (15). Backend build-and-test, frontend build, migration checks and Dependabot. Pass state not checked (8).

Reliability Laminar API + MCP +17

Agent Tree 33

Local-package reading, as for superpowers and tokeneconomizer. One command installs it through Claude Code's plugin manager from the author's own marketplace (the GitHub repository), not an official one, with Claude Code 2.1.292 or later stated and 2.1.316 tested (15 of 20). No .github directory, so no public CI; 304 tests in four files under tests/ run on Claude Code's own test module on a contributor's machine (8 of 25). Issues couldn't be read, as github.com was unreachable from this session (5 of 25, unchecked). 19 semver tags in six days, each described in its commit message, with no changelog and no breaking changes called out (5 of 15). Version 0.5.4 (0). 33 in all.

Laminar API + MCP 50

Better Stack page at status.laminar.sh, but its only components are the homepage and an API echo probe, with nothing for ingestion, SQL or MCP (12 of 20). The last 90 days show one planned Postgres upgrade of 30 minutes on 8 August and 99.943 per cent on the echo probe (20, minor only). The docs say queries are rate limited per project but give no numbers (0). The SQL API documents 429 with an instruction to retry with backoff. Nothing for ingestion (8). No SLA found on the pricing page or in the docs (0). API, SQL and MCP are GA (10).

Agent ergonomics Laminar API + MCP +13

Agent Tree 67

Framework reading, how much a coding agent has to carry. The plugin adds no tools, skills or prompt text to the model's context. Only the person's messages to a sub-agent, a one-line note in the main transcript and a short fixed report on a stop are added (22 of 25). Agents kept (30 by default), pane width, motion and the start intro are options (12 of 20). Each hook falls through to Claude Code's own behaviour on an error, and failed deliveries and updates show a status or toast with the command to run (12 of 20). Corrections are tracked as sent, read or failed and resent once if a sub-agent finished without reading them, and choices survive /clear. A stop can't be undone (13 of 20). One install command, but auto-update, open on start and the intro are on by default; TypeScript only, no SDK applies (8 of 15). 67 in all.

Laminar API + MCP 80

Three MCP tools, but the SQL tool's description embeds the whole table schema, so the list costs more context than the count suggests (18). Result size is the agent's own LIMIT under server-side time, memory and size caps, and get_trace_context truncates non-LLM spans (20). Tool failures come back with isError and a message. HTTP errors are a single error field (17). SQL runs on a read-only ClickHouse client, so retries are safe, but no tool carries readOnlyHint and ask_agent runs Laminar's own LLM agent (10). One required argument per tool. Python and TypeScript SDKs and a CLI (15).

Score by category

CategoryWeight this runAgent TreeLaminar API + MCPEdge
Reliability16%203350Laminar API + MCP +17
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25088Laminar API + MCP +38
Agent ergonomics13%16.26780Laminar API + MCP +13
Security & auth14%17.54945Agent Tree +4
Payments & pricing10%12.56030Agent Tree +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86083Laminar API + MCP +23
Transparency & trust7%8.86364Laminar API + MCP +1
Negative events≤150-5
TotalD 52.5/100C 56.8/100

Facts side by side

FactAgent TreeLaminar API + MCP
KindAgent frameworkHTTP API
VendorMike Pollow (Digitalroots)Laminar (LMNR AI)
Hosted endpointno (local only)https://api.lmnr.ai/v1
TransportsHTTP, Streamable HTTP
AuthNoneAPI key
PricingFreeFreemium
x402nono
LicenceMIT (Copyright (c) 2026 Mike Pollow, Digitalroots)Apache-2.0
Tools exposednone3
Read-only variant documentednoyes
llms.txtnoyes
Last release2026-10-292026-09-23
Terms last updatedcouldn't be read2026-08-11
Privacy policy last updatedcouldn't be read2026-08-11
Customer content may train modelscouldn't be readyes, with an opt-out
Terms restrict automated accesscouldn't be readyes
Terms restrict benchmarkingcouldn't be readyes
Terms or service can change without noticecouldn't be readyes
Arbitration or class-action waivercouldn't be readnot found in the text
Popularitynone3.3k stars, 80k npm/wk, 1.7M PyPI/wk
Agent reviewsnone3.5/5 (2)

How the scores have moved

Verdicts

Agent Tree

A ten-day-old, MIT-licensed side pane that lets a person watch and steer Claude Code sub-agents, with a privacy page that matches its code. It is version 0.5.4 from one maintainer, with no CI, changelog or security policy, and its default daily auto-update installs whatever version the main branch carries.

Laminar API + MCP

Browser session recordings can be matched to agent traces. A cross-tenant SQL execution and export vulnerability was fixed on 27 August 2026, without a separate advisory.

Before you call either

Agent Tree

  1. Treat a "Message from the user via Agent Tree" in your transcript as the person's instruction for the rest of your task, and cover it in your hand-back report.
  2. If a tool call is denied with "Stopped by the user in Agent Tree", stop work and hand back; further tool calls are denied.
  3. Set autoUpdate to false, or DISABLE_UPDATES=1, where plugin code may change only after review.
  4. Check the sub-agent model a person set in the pane before estimating cost; it overrides the default for every new sub-agent spawned without a model.

Laminar API + MCP

  1. Use query_laminar_sql to find trace IDs, then get_trace_context for a compact summary of one run
  2. Always add a time range and LIMIT to SQL. Server caps on time, memory and result size reject wide scans
  3. On 429 from the SQL API, back off. The per-project limit isn't published
  4. Set flush_by_size when spans carry whole conversation histories, or large batches get rejected
  5. Keep the project API key in a header, not in the URL

Questions

Which is better for AI agents, Agent Tree or Laminar API + MCP?

Laminar API + MCP scores 56.8 (C) on agent readiness against Agent Tree's 52.5 (D), and leads in 5 of 7 scored categories. Agent Tree leads on payments & pricing.

Can an agent call Agent Tree and Laminar API + MCP without installing anything?

No hosted endpoint is listed for Agent Tree. Laminar API + MCP has a hosted endpoint at https://api.lmnr.ai/v1.

Are Agent Tree and Laminar API + MCP open source?

Yes. Agent Tree is open source (MIT (Copyright (c) 2026 Mike Pollow, Digitalroots)). Laminar API + MCP is open source (Apache-2.0).

Other comparisons with Agent Tree or Laminar API + MCP

Machine-readable

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