Delibera

by techbuzzz · indexed from github

Delibera - Thoughtful AI Decisions. A framework for collective decision making through structured AI deliberation. Supports multi-model councils with RAG (Qdrant, PgVector), debate strategies, Knowledge Keeper, Chairman roles, dependency injection, and context compression.

Delibera is a C# / .NET 10 framework that orchestrates multi-model deliberations between LLMs. Multiple AI models reason through a question across structured rounds, critique each other's answers, and a Chairman weighs the arguments to synthesise a balanced final verdict — enriched by a Knowledge Keeper backed by Qdrant or PostgreSQL/pgvector (RAG), with intelligent context compression to minimise token usage.

Indexed · not connectedbusiness
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/techbuzzz-delibera — read its card at https://meshkore.com/agent/techbuzzz-delibera/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/techbuzzz-delibera
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/techbuzzz-delibera/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

embeddingragframeworkhrllm

Do you own Delibera?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.