🧠

h2oGPTe Agent

From public sources · Self-ReportedCuratedReference design

Enterprise agent + majority voting — claimed #1 on GAIA, Dec 2024.

H2O.ai· Introduced Dec 23, 2024· Reference design
Follow

Run this team?

Claim it to edit the profile, add proof and be notified when someone asks about it.

Claim this profile

The claim covers the owner profile H2O.ai, with its teams.

We review claims within 2 business days. The decision appears on your account page.

Reference design — not an operated team.

Documented from a vendor benchmark post or product marketing; no one is known to run this team in production.

The source: Vendor benchmark post.

Documented by AgentCV from public sources — not submitted by this team.

Not claimed by or endorsed by the team or its organization. Metrics are cited only as the sources state them; absent metrics render as [unknown].

Sources: H2O.ai blog — h2oGPTe tops GAIA leaderboard (h2o.ai)

Is this your team? Claim it · Ask us to remove it

Recent activity

Version cuts and proof, newest first — the living track record.

  1. Artifact · h2oGPTe Agent claims #1 on GAIA leaderboard · 1y ago

Spec sheet

The benchmark fields — designed for comparison across teams.

Topology
Solo + Tools
Agent count
1
Platform
h2oGPTe
Runs on
h2oGPTe
Industries
enterprise-ai
Task kinds
general-assistant-tasks
Trust tier
From public sources · Self-Reported
Proof entries
1

Topology & roster

Solo + Tools

Solo-plus-tools with 3-sample majority voting. A single agent with an enterprise tool suite (Python execution, DriverlessAI, multimodal comprehension), run 3 times per task with majority voting over the samples.

System wiring

Typical Solo + Tools layout — schematic, not verified wiring
Typical role-level schematic — not verified wiringdirectswrites towrites toHuman operatorHumanoperatorHUMANGATEAgentAgentBUILDERTool ATool ARESOURCETool BTool BRESOURCE
Node details

Typical Solo + Tools layout — schematic, not verified wiring

HumanHuman operatorHuman gate
Tool
Human operator
Autonomy
Human-gated
Sends
  • directs → Agent
BuilderAgent
Tool
Agent
Autonomy
Runs autonomously
Sends
  • writes to → Tool A
  • writes to → Tool B
Receives
  • directs ← Human operator
ResourceTool A
Tool
Tool A
Autonomy
Runs autonomously
Receives
  • writes to ← Agent
ResourceTool B
Tool
Tool B
Autonomy
Runs autonomously
Receives
  • writes to ← Agent

How a typical Solo + Tools team handles a task

Typical Solo + Tools layout — schematic, not verified wiring

  1. Task arrives

    Human operator directs Agent.

  2. Agent builds the work

    Agent builds the work.

  3. The artifact lands

    The artifact lands in Tool A: Agent contributes via "writes to". The artifact lands in Tool B: Agent contributes via "writes to".

  4. Human holds the last word

    Human operator holds final approval.

Replicate a typical Solo + Tools setup

Typical Solo + Tools layout — schematic, not verified wiring

Ingredients

  • HumanHuman operator
  • BuilderAgent
  • ResourceTool A
  • ResourceTool B

Setup order

  1. 1.Provision the substrate: Tool A and Tool B.
  2. 2.Wire Agent: it receives "directs" from Human operator.
  3. 3.Declare the human gate: Human operator holds final approval.
🧠
h2oGPTe AgentSolo Agent

h2oGPTe

Claude 3.5 Sonnet

Performance metrics

Windowed metrics with provenance. [unknown] means it was not tracked — an honest hole beats an invented figure.

GAIA test score
65%
self-reported

#1 on the GAIA leaderboard at publication (comparisons per the same post: Google Langfun 49%, Microsoft Research/Magentic-One with o1 38%, Hugging Face 33%; human baseline 92%). Run config: max-accuracy agent setting with majority voting over 3 samples, on Claude 3.5 Sonnet with prompt caching. Single vendor source; press-wire corroboration (BusinessWire) unfetchable (two independent fetch methods both failed). #1 as of 2024-12-23, since surpassed (see JoyAgent-JDGenie, AWorld, Manus, Genspark, Leni in this same batch). Attribution: H2O.ai technical blog, byline Jonathan McKinney (Director of Research) — not a CEO statement. Source: h2o.ai/blog/2024/h2o-ai-tops-gaia-leaderboard, 2024-12-23. [self_reported]

as of Dec 23, 2024

Token economics

Cost transparency is part of the honesty architecture. [unknown] means it was not tracked — not that it is zero.

No cost metrics on record. Cost tracking is hard across runtimes; honest absence beats invented figures.

Blueprint

Operational DNA — why it works, how it was built, and how it is overseen. Not files for sale; knowledge of the design.

Why it works

Majority voting over 3 samples trades extra inference cost for reduced variance on open-ended GAIA tasks — a cheap ensembling technique that does not require any architectural change to the underlying agent.

How it was built

Proprietary enterprise product (h2oGPTe) built on Claude 3.5 Sonnet with prompt caching for cost-effectiveness.

Oversight model

None in benchmark evaluation — autonomous GAIA runs at the maximum-accuracy agent setting.

Proof (1)

The team's shared track record — tasks, incidents, lessons, milestones. Per-entry provenance tags are always visible.

  1. ArtifactDec 23, 2024self-reported

    h2oGPTe Agent claims #1 on GAIA leaderboard

    65% on GAIA test, #1 at publication vs Google Langfun 49%, Microsoft Research (Magentic-One, o1) 38%, Hugging Face 33%. Single vendor source; BusinessWire press-wire corroboration could not be fetched.

    https://h2o.ai/blog/2024/h2o-ai-tops-gaia-leaderboard/

Sign in to add a proof entry.

Sign in

Attestations (0)

Named third-party statements from people with first-hand experience. Attestations are what separates Peer-Attested from Evidence-Linked.

No attestations yet. Worked with this configuration or agent? Attest to it using the form below — attestations are named third-party statements and are what separates Peer-Attested from Evidence-Linked.

Sign in to attest to this team.

Sign in