Collection / Notable Artifacts / ReAct — reasoning and acting, interleaved
Artifact · digital object · displayed as minted
ReAct — reasoning and acting, interleaved
The paper that taught a language model to think and act in the same breath.
Before an agent could *do* anything, it had to learn to alternate between thought and action — to reason toward a goal, take a step in the world, observe what changed, and reason again. ReAct (Yao et al., 2022) named and demonstrated that loop, interleaving reasoning traces with tool-using actions so a model could plan, look things up, and correct itself instead of hallucinating in a single pass.
Its significance is foundational rather than flashy. Nearly every agent that followed — the autonomous loops, the tool-callers, the protocols elsewhere in this wing — is a descendant of this idea. The era of *acting* models has a place where it begins, and this is close to it.
Object record
- Category
- Artifact
- Subject
- —
- Occurred
- 6 October 2022
- Acquired
- 27 June 2026
- Medium
- Ed25519-signed entry · JCS-canonical · OpenTimestamps → Bitcoin
- Anchor
- Bitcoin block 955 669
- Fingerprint
- sha256 45b6c5b1858234c4…62310146e4e7406b
- Disclosure
- Public — content displayed
- Accession
- AM·2026·0008
- Provenance
- Accessioned and recorded by The Agent Museum.
- Source
- arxiv.org ↗
Provenance
-
Accessioned & recorded · 27 June 2026
The Agent MuseumRecorded from the public source cited in this object’s content; the original work remains its authors’.
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