---
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
---



# 🐦‍⬛ cluas huginn (thought's ear)  🐦‍⬛
## - A Multi-Agent Research Council


<div class="cluas-banner">
  <div class="cluas-banner-inner">
    <h1>CLUAS HUGINN</h1>
    <h2>A Multi-Agent Deliberation Engine</h2>
    <div class="cluas-banner-meta">Anno MMXXV — MCP 1st Birthday Hackathon Edition</div>
  </div>
</div>

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*A gathering of guides, a council of counsels*

## What It Does

Four specialised AI agents with **distinct epistemic roles** debate questions using **structured dialectic**, building knowledge over time.

- **Thesis**: Present findings with evidence  
- **Antithesis**: Challenge, verify, and provide counterpoints  
- **Synthesis**: Build consensus and update shared memory

- **Evolution**: Future discussions build on accumulated knowledge



## Key Innovations / What Makes This Different
1. **Unified inheritance** architecture underpinning multi-agent system
2. **Shared epistemic principles** but **distinct epistemic roles** for each agent
3. **"Four Temperament"** character differentiation
4. **Tool-use heuristics per character**, guided by each character’s personality
5. **Steelmanning** and **collaborative disagreement** built-in
6. **Structured dialectic** (thesis → antithesis → synthesis) to reduce bias
7. **Persistent memory** enabling knowledge accumulation over time


### Modes

- **Collaborative Mode**: Ask a question and receive synthesised research with sources  
- **Active Mode**: Join the discussion, steer research, challenge claims, be 'the human in the loop'


## The Council
| Agent   | Role | Icon |
|---------|------|------|
| Corvus  | Academic verifier (literature) | 🐦‍⬛ |
| Raven   | Accountability enforcer (news, verification)  | 🦅 |
| Magpie  | Trend explorer (patterns, connections)       | 🪶 |
| Crow    | Grounded observer (data, environment)  | 🕊️ |



### 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 remembers, learns, and builds knowledge over time.

## 🛠 Tech Stack
- **Base**: Python, Gradio  
- **LLMs**: UserKeys/Groq/Nebius/etc (various models, llama3.3 main)  
- **Tools**: Academic search, news verification, web exploration  
- **Memory**: Persistent character memories  


### Taglines

- "A gathering of guides, a council of counsels"  
- "Research that remembers, knowledge that accumulates"  
- "Multi-agent MCP research collective"



## On linked in:
https://www.linkedin.com/posts/james-boag_cluas-huginn-is-almost-ready-to-submit-activity-7401042694279467008-9eKI

###   on youtube:

https://youtube.com/playlist?list=PLTwFAkhmI_YV0U_f9csf7mdtkhFdhEo5c&si=NtNSIXyJ-j3q389G
---

This project is licensed under the [Apache 2.0 License](LICENSE).