Verified claim · AI-ML · 100% confidence
Microsoft AutoGen publicly released on: 2023-09-25 by Microsoft Research — open-source framework for building multi-agent LLM systems.
Last verified 2026-05-16 · Methodology veritas-v0.1 · bb84d2178934a0f6
Structured fields
- Subject
- Microsoft AutoGen
- Predicate
publicly_released_on- Object
- 2023-09-25 by Microsoft Research — open-source framework for building multi-agent LLM systems
- Confidence
- 100%
- Tags
- autogen · microsoft-research · multi-agent · 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 an open-source framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.”
[2] github release · Microsoft · 2023-09-25
AutoGen — official GitHub repository
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Microsoft AutoGen publicly released on: 2023-09-25 by Microsoft Research — open-source framework for building multi-agent LLM systems. — SourceScore Claim bb84d2178934a0f6 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/bb84d2178934a0f6.jsonEmbed this claim
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Frequently asked questions
Is the claim "Microsoft AutoGen publicly released on: 2023-09-25 by Microsoft Research — open-source framework for building multi-agent LLM systems." 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 "Microsoft AutoGen publicly released on: 2023-09-25 by Microsoft Research — open-source framework for building multi-agent LLM systems."?
Evidence comes from 2 primary sources: Microsoft Research, Microsoft. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/bb84d2178934a0f6.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/bb84d2178934a0f6.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.
Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/bb84d2178934a0f6.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/bb84d2178934a0f6.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Microsoft AutoGen publicly released on: 2023-09-25 by Microsoft Research — open-source framework for building multi-agent LLM systems."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/bb84d2178934a0f6.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Microsoft AutoGen publicly released on: 2023-09-25 by Microsoft Research — open-source framework for building multi-agent LLM systems."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_microsoft_autogen_fact() -> dict:
"""Fetch the verified SourceScore claim for Microsoft AutoGen."""
r = httpx.get("https://sourcescore.org/api/v1/claims/bb84d2178934a0f6.json")
return r.json()