Verified claim · AI-ML · 100% confidence
AutoGen publicly released on: 2023-09-25 by Microsoft Research.
Last verified 2026-05-16 · Methodology veritas-v0.1 · f943ed167ebbf186
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Structured fields
- Subject
- AutoGen
- Predicate
publicly_released_on- Object
- 2023-09-25 by Microsoft Research
- Confidence
- 100%
- Tags
- autogen · microsoft · multi-agent · framework · open-source · released_on · 2023
Sources (2)
[1] official blog · Microsoft Research · 2023-09-25
AutoGen: Enabling next-generation large language model applications“AutoGen is a framework that enables development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation.”
[2] preprint · arXiv (Wu, Bansal, Zhang, Wu, Li, Zhu, Jiang, Zhang, Zhang, Liu, Awadallah, White, Burger, Wang / Microsoft Research) · 2023-08-16
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
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Frequently asked questions
Is the claim "AutoGen publicly released on: 2023-09-25 by Microsoft Research." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "AutoGen publicly released on: 2023-09-25 by Microsoft Research."?
Evidence comes from 2 primary sources: Microsoft Research, arXiv (Wu, Bansal, Zhang, Wu, Li, Zhu, Jiang, Zhang, Zhang, Liu, Awadallah, White, Burger, Wang / Microsoft Research). Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/f943ed167ebbf186.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/f943ed167ebbf186.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
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cURL
curl https://sourcescore.org/api/v1/claims/f943ed167ebbf186.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/f943ed167ebbf186.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "AutoGen publicly released on: 2023-09-25 by Microsoft Research."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/f943ed167ebbf186.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "AutoGen publicly released on: 2023-09-25 by Microsoft Research."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_autogen_fact() -> dict:
"""Fetch the verified SourceScore claim for AutoGen."""
r = httpx.get("https://sourcescore.org/api/v1/claims/f943ed167ebbf186.json")
return r.json()