pith:ML6YPSJG
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
A multi-agent system with an orchestrator achieves competitive performance on complex AI agent benchmarks without modifications.
arxiv:2411.04468 v1 · 2024-11-07 · cs.AI · cs.MA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ML6YPSJGAYDNYY5KNIPPP5W3KI}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
Magentic-One achieves statistically competitive performance to the state-of-the-art on three diverse and challenging agentic benchmarks: GAIA, AssistantBench, and WebArena.
That the modular multi-agent design with an orchestrator allows agents to be added or removed without additional prompt tuning or training while maintaining performance across tasks.
Magentic-One is a modular multi-agent system that matches state-of-the-art performance on GAIA, AssistantBench, and WebArena using an orchestrator-led team of specialized agents.
References
Formal links
Cited by
Receipt and verification
| First computed | 2026-05-17T23:38:46.930548Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62fd87c9260606dc63aa6a1ef7f6db5201497c109f82a367458e2350d6bdec7a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ML6YPSJGAYDNYY5KNIPPP5W3KI \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 62fd87c9260606dc63aa6a1ef7f6db5201497c109f82a367458e2350d6bdec7a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ab1fada245f0cc946033623a52fd268210295af3e6ba1da60f7cae05f491d24b",
"cross_cats_sorted": [
"cs.MA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-11-07T06:36:19Z",
"title_canon_sha256": "f5a99c24279c399d55bffad740b03c7fb05ece58c5b986910b9fbefd7caca04c"
},
"schema_version": "1.0",
"source": {
"id": "2411.04468",
"kind": "arxiv",
"version": 1
}
}