Instructions to use jpanasuk/basecamp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- HERMES
How to use jpanasuk/basecamp with HERMES:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 22,739 Bytes
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<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Basecamp β Portable AI Agent with Auto-Discovery</title>
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/* ---- CONNECT SCREEN MOCK ---- */
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</style>
</head>
<body>
<div class="banner">
<div class="logo">BASECAMP</div>
<div class="tagline">The first portable AI agent container that auto-discovers your local AI stack β Hermes Agent + Ollama in one box that finds your whole stack and just works.</div>
<div class="contact">No hardcoded URLs. No config files. Just <code style="color:var(--tag);">docker run</code>.</div>
<div class="links">
<a href="https://hub.docker.com/r/jpanasuk/basecamp">Get the image</a>
<a href="https://github.com/jpanasuk-netizen" class="secondary">GitHub</a>
</div>
</div>
<div class="kicker-wrap">
<div class="kicker">
<p>One command to connect: <code>docker run -it --rm --network your-ai-network local/basecamp</code></p>
</div>
</div>
<div class="container">
<!-- PROBLEM -->
<div class="section">
<h2>The Problem</h2>
<hr>
<p>You've got local AI services running β Ollama, maybe TabbyAPI or vLLM, maybe SearXNG. They work. But to actually <b>use</b> them together, you're either:</p>
<ul>
<li>Opening 5 browser tabs and copy-pasting between them</li>
<li>Hardcoding API URLs and keys into config files</li>
<li>Writing glue code every time you add a service</li>
</ul>
<p style="margin-top:8px;color:var(--accent);font-weight:600;">Nothing ties your stack together. Until now.</p>
</div>
<!-- SOLUTION -->
<div class="section">
<h2>What Basecamp Does <span class="badge">Auto-Discovery</span></h2>
<hr>
<p>Basecamp is a Docker image containing <b>Hermes Agent</b> + <b>Ollama</b>. When you run it on a Docker network, it:</p>
<ul>
<li><b>Scans</b> for AI services using DNS probes, port scanning, and Docker network inspection</li>
<li><b>Identifies</b> service types by fingerprinting HTTP responses (Ollama, TabbyAPI, vLLM, SearXNG, MCPO, and more)</li>
<li><b>Shows a connect screen</b> where you pick which services to use</li>
<li><b>Prompts for API keys</b> when a service needs auth β no hardcoded secrets</li>
<li><b>Generates a <code>tavern</code> CLI</b> dynamically from what it found</li>
<li><b>Drops you into Hermes Agent</b> connected to your entire stack</li>
</ul>
</div>
<!-- CONNECT SCREEN -->
<div class="section">
<h2>The Connect Screen</h2>
<hr>
<p>First run, basecamp scans your network and shows you what it found:</p>
<div class="connect-mock">
<span class="header">============================================================</span>
<span class="header"> BASECAMP β AI Agent + Local Inference</span>
<span class="header"> Connect Screen</span>
<span class="header">============================================================</span>
Discovered 5 service(s):
[ 0] <span class="svc-icon">LLM</span> <span class="svc">Ollama (GGUF inference)</span> [1 model(s)]
<span class="label">-> http://ollama:11434</span>
[ 1] <span class="svc-icon">EXL</span> <span class="svc">TabbyAPI / OpenAI-compatible (EXL3/EXL2)</span> [1 model(s)] [needs auth]
<span class="label">-> http://tabbyapi:5000</span>
[ 2] <span class="svc-icon">SRC</span> <span class="svc">SearXNG (private search)</span>
<span class="label">-> http://searxng:8080</span>
[ 3] <span class="svc-icon">MCP</span> <span class="svc">MCPO (MCP OpenAPI proxy)</span>
<span class="label">-> http://mcpo:8000</span>
[ 4] <span class="svc-icon">UI </span> <span class="svc">Open WebUI (LLM workspace)</span>
<span class="label">-> http://open-webui:8080</span>
<span class="prompt">PRIMARY inference engine:
1. Ollama (GGUF inference) (http://ollama:11434)
2. TabbyAPI / OpenAI-compatible (http://tabbyapi:5000)
0. Use basecamp's own Ollama
Choice [1]:</span> <span class="selected">2</span>
<span class="prompt">TabbyAPI requires authentication (bearer).
Enter API key (or press Enter to skip):</span> <span class="selected">your-key-here</span>
<span class="prompt">Save and continue? [Y/n]:</span> <span class="selected">Y</span>
</div>
<p style="font-size:0.85rem;color:#8b949e;">Subsequent runs skip this β config is saved to a persistent volume. Run <code>tavern rediscover</code> to re-scan.</p>
</div>
<!-- QUICK START -->
<div class="section">
<h2>Quick Start</h2>
<hr>
<div class="code-block"><span class="comment"># Pull the image (Docker Hub)</span>
<span class="cmd">docker pull</span> <span class="str">jpanasuk/basecamp:1.0.2</span>
<span class="comment"># Run against your AI network</span>
<span class="cmd">docker run</span> <span class="flag">-it --rm</span> \
<span class="flag">--network</span> <span class="str">your-ai-network</span> \
<span class="flag">--gpus all</span> \
<span class="flag">-v</span> <span class="str">basecamp-ollama:/root/.ollama</span> \
<span class="flag">-v</span> <span class="str">basecamp-hermes:/root/.hermes</span> \
<span class="str">jpanasuk/basecamp:1.0.2</span>
<span class="comment"># First run: connect screen appears
# Pick services, enter API keys if needed
# Then you're in Hermes Agent with tavern CLI</span>
<span class="prompt">tavern status</span> <span class="comment"># show connected services</span>
<span class="prompt">tavern chat "hello"</span> <span class="comment"># chat with EXL3 model (streaming)</span>
<span class="prompt">tavern search "AI news"</span> <span class="comment"># search via SearXNG</span>
<span class="prompt">tavern mcp</span> <span class="comment"># list MCP tools</span>
<span class="prompt">tavern models</span> <span class="comment"># list available models</span></div>
</div>
<!-- DISCOVERY TABLE -->
<div class="section">
<h2>What It Discovers</h2>
<hr>
<div class="disc-grid">
<div class="disc-card"><span class="icon llm">LLM</span><b>Ollama</b><br>GGUF inference<br><span style="font-size:0.8rem;color:#8b949e;">Auto-discovered, no auth</span></div>
<div class="disc-card"><span class="icon exl">EXL</span><b>TabbyAPI</b><br>EXL3/EXL2 inference<span class="auth">needs API key</span><br><span style="font-size:0.8rem;color:#8b949e;">Prompted during connect</span></div>
<div class="disc-card"><span class="icon llm">LLM</span><b>vLLM</b><br>High-throughput inference<br><span style="font-size:0.8rem;color:#8b949e;">Auto-discovered, no auth</span></div>
<div class="disc-card"><span class="icon llm">PXY</span><b>LiteLLM</b><br>Multi-provider proxy<span class="auth">needs API key</span><br><span style="font-size:0.8rem;color:#8b949e;">Prompted during connect</span></div>
<div class="disc-card"><span class="icon llm">LLM</span><b>LocalAI</b><br>OpenAI replacement<br><span style="font-size:0.8rem;color:#8b949e;">Auto-discovered, no auth</span></div>
<div class="disc-card"><span class="icon llm">LLM</span><b>llama.cpp</b><br>Lightweight server<br><span style="font-size:0.8rem;color:#8b949e;">Auto-discovered, no auth</span></div>
<div class="disc-card"><span class="icon src">SRC</span><b>SearXNG</b><br>Private metasearch<br><span style="font-size:0.8rem;color:#8b949e;">Auto-discovered, no auth</span></div>
<div class="disc-card"><span class="icon mcp">MCP</span><b>MCPO</b><br>MCP OpenAPI proxy<span class="auth">needs API key</span><br><span style="font-size:0.8rem;color:#8b949e;">Prompted during connect</span></div>
<div class="disc-card"><span class="icon ui">UI</span><b>Open WebUI</b><br>LLM workspace<br><span style="font-size:0.8rem;color:#8b949e;">Auto-discovered, no auth</span></div>
<div class="disc-card"><span class="icon cht">CHT</span><b>SillyTavern</b><br>Character chat<span class="auth">needs basic auth</span><br><span style="font-size:0.8rem;color:#8b949e;">Tries default, prompts if fails</span></div>
</div>
</div>
<!-- WHY DIFFERENT -->
<div class="section">
<h2>Why It's Different</h2>
<hr>
<table class="compare-table">
<tr>
<th>Feature</th>
<th>Other tools</th>
<th>Basecamp</th>
</tr>
<tr>
<td>Service discovery</td>
<td class="no">Manual config</td>
<td class="yes">Auto-discover</td>
</tr>
<tr>
<td>API keys</td>
<td class="no">Hardcoded in config</td>
<td class="yes">Prompted at connect</td>
</tr>
<tr>
<td>Works with any stack</td>
<td class="no">Tied to one app</td>
<td class="yes">Stack-agnostic</td>
</tr>
<tr>
<td>Agent included</td>
<td class="no">BYO agent</td>
<td class="yes">Hermes Agent built-in</td>
</tr>
<tr>
<td>Streaming chat</td>
<td class="no">Usually no</td>
<td class="yes">Yes, by default</td>
</tr>
<tr>
<td>Re-scan after changes</td>
<td class="no">Edit config again</td>
<td class="yes">tavern rediscover</td>
</tr>
<tr>
<td>Secrets in image</td>
<td class="no">Often yes</td>
<td class="yes">Zero hardcoded keys</td>
</tr>
</table>
</div>
<!-- ARCHITECTURE -->
<div class="section">
<h2>Architecture</h2>
<hr>
<div class="arch"><span class="highlight">βββββββββββββββββββββββββββββββββββββββββββββββ</span>
<span class="highlight">β basecamp container β</span>
<span class="highlight">β</span> <span class="box">βββββββββββββ</span> <span class="box">ββββββββββββββββββββββββ</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β Ollama β</span> <span class="box">β Hermes Agent β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β (GGUF) β</span> <span class="box">β (CLI AI assistant) β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">βββββββββββββ</span> <span class="box">ββββββββββββββββββββββββ</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">ββββββββββββββββββββββββββββββββββββββββ</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β discover.py β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β - scans network for AI services β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β - connect screen TUI β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β - generates tavern CLI dynamically β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">ββββββββββββββββββββββββββββββββββββββββ</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">ββββββββββββββββββββββββββββββββββββββββ</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β tavern (auto-generated) β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β - chat, search, mcp, models, status β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β - streaming responses β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">β - rediscover on demand β</span> <span class="highlight">β</span>
<span class="highlight">β</span> <span class="box">ββββββββββββββββββββββββββββββββββββββββ</span> <span class="highlight">β</span>
<span class="highlight">βββββββββββββββββββββββββββββββββββββββββββββββ</span>
<span class="arrow">β</span> <span class="arrow">β</span> <span class="arrow">β</span>
<span class="arrow">βΌ</span> <span class="arrow">βΌ</span> <span class="arrow">βΌ</span>
<span class="box">ββββββββββββ</span> <span class="box">ββββββββββββ</span> <span class="box">ββββββββββββ</span>
<span class="box">β TabbyAPI β</span> <span class="box">β Ollama β</span> <span class="box">β SearXNG β</span>
<span class="box">β (EXL3) β</span> <span class="box">β (GGUF) β</span> <span class="box">β (search) β</span>
<span class="box">ββββββββββββ</span> <span class="box">ββββββββββββ</span> <span class="box">ββββββββββββ</span>
<span class="arrow">β</span> <span class="arrow">β</span>
<span class="arrow">βΌ</span> <span class="arrow">βΌ</span>
<span class="box">ββββββββββββ</span> <span class="box">ββββββββββββ</span>
<span class="box">β MCPO β</span> <span class="box">βOpen WebUIβ</span>
<span class="box">β (tools) β</span> <span class="box">β (UI) β</span>
<span class="box">ββββββββββββ</span> <span class="box">ββββββββββββ</span></div>
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<!-- RELATED -->
<div class="section">
<h2>Related Projects</h2>
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<ul>
<li><b>Tabby Tavern Stack</b> β the full 6-service local AI infrastructure (TabbyAPI, SillyTavern, Open WebUI, Ollama, SearXNG, MCPO) β <a href="https://huggingface.co/jpanasuk/tabby-tavern-stack" style="color:var(--blue);">huggingface.co/jpanasuk/tabby-tavern-stack</a></li>
<li><b>Basecamp</b> β this project, the portable agent container β <a href="https://huggingface.co/jpanasuk/basecamp" style="color:var(--blue);">huggingface.co/jpanasuk/basecamp</a></li>
</ul>
</div>
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<div class="footer">
<div><b>Jeremy Panasuk</b> β enterprise data architect turned local AI systems engineer</div>
<div class="links">
<a href="https://huggingface.co/jpanasuk">HuggingFace</a>
<a href="https://github.com/jpanasuk-netizen">GitHub</a>
<a href="https://www.linkedin.com/in/jeremy-p-34203322">LinkedIn</a>
</div>
<div style="margin-top:8px;opacity:0.6;font-size:0.78rem;">MIT License Β· No secrets shipped Β· Built on Hermes Agent + Ollama</div>
<div style="margin-top:4px;opacity:0.6;font-size:0.78rem;">Agent by <a href="https://nousresearch.com" style="color:inherit;">Nous Research</a> β this box just wraps it. All props to the Hermes team. π</div>
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