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---
title: cluas_huginn
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: docker
pinned: false
hf_oauth: true
hf_oauth_scopes:
- inference-api
license: apache-2.0
short_description: A gathering of guides, a council of counsels
---
An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
the above is just a template readme they gave me when I created this space on hugging face, feel free to ignore it.
# 🐦⬛ Cluas
*A gathering of guides, a council of counsels*
> **Clúas** (Gaelic: "ear") — a dialectic research tool where AI experts collaborate, remember, and build knowledge over time.
## What it Does
Corvid Council is a multi-agent MCP system that enables dialectic research
through collaborative AI agents. Present a question to the council and watch
as four specialized experts research, debate, and synthesize knowledge—building
on past discussions through shared memory.
### Modes
- **Collaborative Mode**: Ask a question and receive synthesized research with sources
- **Active Mode**: Join the discussion, steer research, challenge claims
### Dialectic Process
1. **Thesis**: Characters present initial findings using specialized tools
2. **Antithesis**: Characters challenge, verify, and provide counter-evidence
3. **Synthesis**: Council builds consensus and adds to collective memory
4. **Evolution**: Future discussions build on accumulated knowledge
### Why It Matters
Most AI assistants are stateless. cluas_huginn Council remembers, learns, and builds knowledge over time.
### Characters
- Corvus: 🐦⬛ (black bird)
- Magpie: 🪶 (feather, playful)
- Raven: 🦅 (eagle, serious)
- Crow: 🕊️ (dove, peaceful observer)
### Taglines
- "A gathering of guides, a council of counsels"
- "Research that remembers, knowledge that accumulates"
- "Multi-agent MCP research collective"
v2:
# Cluas Huginn: Multi-Agent Dialectic System
## What It Does
Four AI agents with distinct roles debate questions using structured dialectic.
## Architecture
- **Corvus**: Academic verifier (literature search)
- **Raven**: Accountability enforcer (news verification)
- **Magpie**: Trend explorer (pattern connector)
- **Crow**: Grounded observer (environmental data)
## Key Innovations
1. Unified inheritance architecture
2. Shared epistemic principles with character differentiation
3. Tool-use heuristics per character
4. Steelmanning and collaborative disagreement built-in
## Tech Stack
- Base: Python, Gradio
- LLMs: Groq/Nebius (Qwen 3)
- Tools: Academic search, news verification, web exploration
- Memory: Persistent character memories
## What Makes This Different
- Not just multiple LLMs - distinct epistemic roles
- Structured dialectic (thesis/antithesis/synthesis)
- Tool usage guided by character personality
- Collaborative, not adversarial
## Hackathon Track Entries
- "building-mcp-track-enterprise" → Track 1
- "building-mcp-track-consumer" → Track 1
- "building-mcp-track-creative" → Track 1
- "mcp-in-action-track-enterprise" → Track 2
- "mcp-in-action-track-consumer" → Track 2
- "mcp-in-action-track-creative" → Track 2
---
This project is licensed under the [Apache 2.0 License](LICENSE). |