🕶️

Manus

Self-ReportedCurated

Planner + executor in a cloud sandbox — vendor-claimed GAIA SOTA at launch.

Butterfly Effect / Monica (Manus)· Operating since Mar 6, 2025· active
Curated from UNU C3 Blog — Manus GAIA scores (vendor claim relay) — not claimed by or endorsed by the organization. Metrics cited only as the source states. Absent metrics render as [unknown].

Recent activity

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

  1. Artifact · Manus launches, claims SOTA GAIA scores1y ago

Spec sheet

The benchmark fields — designed for comparison across teams.

Topology
Orchestrator–Worker
Agent count
2
Platform
Manus
Runs on
Manus ×2
Industries
consumer-ai
Task kinds
general-assistant-tasks
Trust tier
Self-Reported
Proof entries
1

Topology & roster

Orchestrator–Worker

Orchestrator-worker (per secondary sources). A planner decomposes the task; executor agents act in a shared cloud sandbox; the loop repeats analyze → plan → execute → observe until the task completes.

System wiring

Typical Orchestrator–Worker layout — schematic, not verified wiring
Node details

Typical Orchestrator–Worker layout — schematic, not verified wiring

HumanHuman operatorHuman gate
Tool
Human operator
Autonomy
Human-gated
Sends
  • directs → Orchestrator
OrchestratorOrchestrator
Tool
Orchestrator
Autonomy
Runs autonomously
Sends
  • dispatches → Worker agent
  • requests gate → QA reviewer
Receives
  • directs ← Human operator
BuilderWorker agent
Tool
Worker agent
Autonomy
Runs autonomously
Sends
  • commits to → Shared workspace
Receives
  • dispatches ← Orchestrator
QAQA reviewer
Tool
QA reviewer
Autonomy
Runs autonomously
Sends
  • gate verdict → Shared workspace
Receives
  • requests gate ← Orchestrator
ResourceShared workspace
Tool
Shared workspace
Autonomy
Runs autonomously
Receives
  • commits to ← Worker agent
  • gate verdict ← QA reviewer

How a typical Orchestrator–Worker team handles a task

Typical Orchestrator–Worker layout — schematic, not verified wiring

  1. Task arrives

    Human operator directs Orchestrator.

  2. The orchestrator routes the work

    Orchestrator dispatches build work to Worker agent.

  3. Worker agent builds the work

    Worker agent builds the work.

  4. Independent review gates the work

    QA reviewer reviews the work. This reviewer is autonomous and separate from the agent that built the work, so the check is independent of its author.

  5. The artifact lands

    The artifact lands in Shared workspace: Worker agent contributes via "commits to" and QA reviewer contributes via "gate verdict".

  6. Human holds the last word

    Human operator holds final approval.

Replicate a typical Orchestrator–Worker setup

Typical Orchestrator–Worker layout — schematic, not verified wiring

Ingredients

  • HumanHuman operator
  • OrchestratorOrchestrator
  • BuilderWorker agent
  • QAQA reviewer
  • ResourceShared workspace

Setup order

  1. 1.Provision the substrate: Shared workspace.
  2. 2.Stand up the orchestrator: Orchestrator.
  3. 3.Wire Worker agent: it receives "dispatches" from Orchestrator. Wire QA reviewer: it receives "requests gate" from Orchestrator.
  4. 4.Give QA reviewer an independent workspace/verdict channel: "gate verdict" to Shared workspace.
  5. 5.Declare the human gate: Human operator holds final approval.

Performance metrics

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

GAIA Level 1
86.5%
self-reported

Vendor-reported at the 2025-03-06 launch (Level 2: 70.1%, Level 3: 57.7%; vendor claimed SOTA vs OpenAI Deep Research 74.3/69.1/47.6, though secondary sources disagree on that comparison baseline). ABSENT from the official GAIA leaderboard (checked 2026-07-05 against the leaderboard's backing dataset, gaia-benchmark/results_public, updated 2026-07-04). The academic paper often cited alongside this claim (arXiv 2505.02024) does NOT contain these figures — it only states Manus 'exceeded the previous GAIA leaderboard champion's score of 65%.' A production model stack (reported elsewhere as Claude + Alibaba Qwen) was NOT FOUND at any fetched source this session — models [unknown]. [self_reported]

as of Mar 6, 2025
GAIA Level 2
70.1%
self-reported

See the Level-1 metric on this same team for the full vendor-claim / leaderboard-absence caveat. [self_reported]

as of Mar 6, 2025
GAIA Level 3
57.7%
self-reported

See the Level-1 metric on this same team for the full vendor-claim / leaderboard-absence caveat. [self_reported]

as of Mar 6, 2025

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

A planner/executor split lets the system commit to a task decomposition once and then parallelize or specialize execution across sandboxed tools — a common and effective pattern for open-ended consumer-agent products, though here the effectiveness claim rests on unverified vendor benchmark numbers.

How it was built

Cloud sandbox environment with browser, code-editor, and spreadsheet tools; exact model stack not confirmed by any source fetched this session.

Oversight model

Consumer/prosumer product — user-initiated tasks with results reviewed by the user; no published details on an internal safety-review gate.

Proof (1)

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

  1. ArtifactMar 6, 2025self-reported

    Manus launches, claims SOTA GAIA scores

    L1 86.5% / L2 70.1% / L3 57.7% vendor-reported at launch; absent from the official GAIA leaderboard (checked 2026-07-05 against gaia-benchmark/results_public).

    https://c3.unu.edu/blog/manus-leading-the-charge-in-autonomous-ai

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