Diomedes Git
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fRoNtEnD iS mY pAsSiOn (cont.)
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README.md
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@@ -22,7 +22,6 @@ short_description: A gathering of guides, a council of counsels
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<div class="corvid-banner-inner">
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<h1>CLUAS HUGINN</h1>
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<h2>A Multi-Agent Deliberation Engine</h2>
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</h2>
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<div class="corvid-banner-meta">Anno MMXXV β MCP 1st Birthday Hackathon Edition</div>
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</div>
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</div>
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*A gathering of guides, a council of counsels*
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## What It Does
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Four specialised AI agents with **distinct epistemic roles** debate questions using **structured dialectic**, building knowledge over time.
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- **Thesis**: Present findings with evidence
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- **Persistent memory**: Knowledge accumulates over time
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- **Tool-personality mapping**: Raven verifies news, Corvus searches literature, etc.
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## The Council
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| Agent | Role | Icon |
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|---------|------|------|
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| Corvus | Academic verifier (literature) | π¦ββ¬ |
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| Raven | Accountability enforcer (news) | π¦
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| Magpie | Trend explorer (patterns) | πͺΆ |
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| Crow | Grounded observer (environment) | ποΈ |
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### Modes
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- **Collaborative Mode**: Ask a question and receive synthesised research with sources
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- **Active Mode**: Join the discussion, steer research, challenge claims
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### Dialectic Process
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### Why It Matters
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Most AI assistants are stateless. cluas_huginn
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## π Tech Stack
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- **Base**: Python, Gradio
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- "Research that remembers, knowledge that accumulates"
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- "Multi-agent MCP research collective"
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## Architecture
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- **Corvus**: Academic verifier (literature search)
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- **Raven**: Accountability enforcer (news verification)
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- **Magpie**: Trend explorer (pattern connector)
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- **Crow**: Grounded observer (environmental data)
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1. Unified inheritance architecture
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2. Shared epistemic principles with "Four Temperament" character differentiation
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3. Tool-use heuristics per character
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4. Steelmanning and collaborative disagreement built-in
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## What Makes This Different
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- Not just multiple LLMs - distinct epistemic roles
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- Structured dialectic (thesis/antithesis/synthesis)
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- Tool usage guided by character personality
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- Collaborative, not adversarial
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---
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<div class="corvid-banner-inner">
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<h1>CLUAS HUGINN</h1>
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| 24 |
<h2>A Multi-Agent Deliberation Engine</h2>
|
|
|
|
| 25 |
<div class="corvid-banner-meta">Anno MMXXV β MCP 1st Birthday Hackathon Edition</div>
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</div>
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</div>
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*A gathering of guides, a council of counsels*
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## What It Does
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+
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Four specialised AI agents with **distinct epistemic roles** debate questions using **structured dialectic**, building knowledge over time.
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- **Thesis**: Present findings with evidence
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- **Persistent memory**: Knowledge accumulates over time
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- **Tool-personality mapping**: Raven verifies news, Corvus searches literature, etc.
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| 97 |
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+
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### Modes
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- **Collaborative Mode**: Ask a question and receive synthesised research with sources
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- **Active Mode**: Join the discussion, steer research, challenge claims, be 'the human in the loop'
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## The Council
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| Agent | Role | Icon |
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|---------|------|------|
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| Corvus | Academic verifier (literature) | π¦ββ¬ |
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| Raven | Accountability enforcer (news, verification) | π¦
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| Magpie | Trend explorer (patterns, connections) | πͺΆ |
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| Crow | Grounded observer (data, environment) | ποΈ |
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### Dialectic Process
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### Why It Matters
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Most AI assistants are stateless. cluas_huginn remembers, learns, and builds knowledge over time.
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## π Tech Stack
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- **Base**: Python, Gradio
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- "Research that remembers, knowledge that accumulates"
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- "Multi-agent MCP research collective"
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## Key Innovations / What Makes This Different
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1. Unified inheritance architecture
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2. Shared epistemic principles with "Four Temperament" character differentiation
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3. Tool-use heuristics per character, guided by personality
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4. Steelmanning and collaborative disagreement built-in
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5. Structured dialectic reduces bias (thesis/antithesis/synthesis)
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6. Persistent memory: knowledge accumulates over time
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---
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