AI Infrastructure · GitHub ·31 ★

agentic-audiences

An open standard by LiveRamp defining how intelligent agents exchange user context, enabling interoperability from prompt-based LLM coordination to embedding-based optimization.

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Details

Author
IABTechLab
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
31
First indexed
2026-05-15
Last active
2026-03-19
Directory sync
2026-05-15
@IABTechLab

Overview

An open standard by LiveRamp defining how intelligent agents exchange user context, enabling interoperability from prompt-based LLM coordination to embedding-based optimization.

Quick start

git

git clone https://github.com/IABTechLab/agentic-audiences

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What agentic-audiences can do

llmembeddingpromptdefi
  • Llm — llm task automation.
  • Embedding — Computes vector embeddings for semantic search.
  • Prompt — prompt task automation.
  • Defi — Interacts with decentralised finance protocols.

Frequently asked questions

What is agentic-audiences?
An open standard by LiveRamp defining how intelligent agents exchange user context, enabling interoperability from prompt-based LLM coordination to embedding-based optimization.
How do I install agentic-audiences?
Use git: `git clone https://github.com/IABTechLab/agentic-audiences`. Full setup details on the source page linked above.
Is agentic-audiences open source?
agentic-audiences is published on GitHub.
What are alternatives to agentic-audiences?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for agentic-audiences is sourced from GitHub, published by IABTechLab.

Last scraped: · First indexed:

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