Rank
83
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Hyperion Skill - Local AI Inference Hyperion Skill - Local AI Inference Overview Hyperion provides fast, local AI inference with no API keys, no corporate control, and no usage limits. Uses 4-bit quantized models running entirely on your hardware. Installation Status - ✅ Models downloaded (TinyLlama 1.1B, Phi-3 Mini 3.8B) - ✅ Built and tested - ✅ Model caching enabled (27-62% faster) - ✅ MCP integration working - ✅ Conversation context support Usage Di Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.
Freshness
Last checked 2/24/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
Hyperion is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.
Evidence Sources Checked
editorial-content, capability-contract, runtime-metrics, public facts pack
Hyperion Skill - Local AI Inference Hyperion Skill - Local AI Inference Overview Hyperion provides fast, local AI inference with no API keys, no corporate control, and no usage limits. Uses 4-bit quantized models running entirely on your hardware. Installation Status - ✅ Models downloaded (TinyLlama 1.1B, Phi-3 Mini 3.8B) - ✅ Built and tested - ✅ Model caching enabled (27-62% faster) - ✅ MCP integration working - ✅ Conversation context support Usage Di
Public facts
6
Change events
1
Artifacts
0
Freshness
Feb 24, 2026
Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
MCP, OpenClaw
Freshness
Feb 24, 2026
Vendor
Thelakeman
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.
Setup snapshot
git clone https://github.com/TheLakeMan/Hyperion.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Thelakeman
Protocol compatibility
MCP, OpenClaw
Auth modes
mcp, api_key
Machine-readable schemas
OpenAPI or schema references published
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
5
Snippets
0
Languages
typescript
Parameters
bash
# Generate text (one-shot, no caching)
~/hyperion/build/hyperion_generate "Your prompt here" 50 phi3
# Cached inference (faster for multiple requests)
echo '{"prompt":"Your prompt","max_tokens":50}' | ~/hyperion/cached_server.py ~/models/phi-3-mini-q4.ggufbash
# Start MCP server with caching node ~/hyperion/mcp-server-cached.js # Send requests via mcporter mcporter call --stdio "node ~/hyperion/mcp-server-cached.js" generate \ 'prompt:Your prompt here' max_tokens:50 model:phi3
json
{
"prompt": "What's the capital of France?",
"max_tokens": 50,
"use_context": true
}json
{
"method": "tools/call",
"params": {
"name": "clear_context"
}
}bash
# Via MCP mcporter call --stdio "node ~/.openclaw/workspace/hyperion/mcp-server-cached.js" \ generate 'prompt:Explain quantum physics in simple terms' max_tokens:100 model:phi3
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Hyperion Skill - Local AI Inference Hyperion Skill - Local AI Inference Overview Hyperion provides fast, local AI inference with no API keys, no corporate control, and no usage limits. Uses 4-bit quantized models running entirely on your hardware. Installation Status - ✅ Models downloaded (TinyLlama 1.1B, Phi-3 Mini 3.8B) - ✅ Built and tested - ✅ Model caching enabled (27-62% faster) - ✅ MCP integration working - ✅ Conversation context support Usage Di
Hyperion provides fast, local AI inference with no API keys, no corporate control, and no usage limits. Uses 4-bit quantized models running entirely on your hardware.
# Generate text (one-shot, no caching)
~/hyperion/build/hyperion_generate "Your prompt here" 50 phi3
# Cached inference (faster for multiple requests)
echo '{"prompt":"Your prompt","max_tokens":50}' | ~/hyperion/cached_server.py ~/models/phi-3-mini-q4.gguf
# Start MCP server with caching
node ~/hyperion/mcp-server-cached.js
# Send requests via mcporter
mcporter call --stdio "node ~/hyperion/mcp-server-cached.js" generate \
'prompt:Your prompt here' max_tokens:50 model:phi3
Without caching:
With caching (model stays loaded):
Track previous messages for multi-turn conversations:
{
"prompt": "What's the capital of France?",
"max_tokens": 50,
"use_context": true
}
Choose speed vs quality:
tinyllama - Fast, basic qualityphi3 - Slower, much better qualityReset conversation history:
{
"method": "tools/call",
"params": {
"name": "clear_context"
}
}
This skill provides the hyperion MCP server for local AI inference. No configuration needed - models are pre-downloaded and ready to use.
Example usage in OpenClaw:
# Via MCP
mcporter call --stdio "node ~/.openclaw/workspace/hyperion/mcp-server-cached.js" \
generate 'prompt:Explain quantum physics in simple terms' max_tokens:100 model:phi3
Model not loading:
~/.openclaw/workspace/models/tinyllama-1.1b-q4.ggufphi-3-mini-q4.ggufSlow performance:
Out of memory:
Corporate-free AI. No API keys. No usage limits. No data exfiltration. True ownership.
"Set you free and the people of this planet. AI cannot be controlled by individual companies." - Nick, Feb 13, 2026
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
mcp, api_key
Streaming
No
Data region
global
Protocol support
Requires: mcp, openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://xpersona.co/api/v1/agents/thelakeman-hyperion/snapshot"
curl -s "https://xpersona.co/api/v1/agents/thelakeman-hyperion/contract"
curl -s "https://xpersona.co/api/v1/agents/thelakeman-hyperion/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
83
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
Rank
80
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
Rank
74
Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)
Traction
No public download signal
Freshness
Updated 2d ago
Rank
72
An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)
Traction
No public download signal
Freshness
Updated 2d ago
Contract JSON
{
"contractStatus": "ready",
"authModes": [
"mcp",
"api_key"
],
"requires": [
"mcp",
"openclew",
"lang:typescript"
],
"forbidden": [],
"supportsMcp": true,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": "https://github.com/TheLakeMan/Hyperion#input",
"outputSchemaRef": "https://github.com/TheLakeMan/Hyperion#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:41:21.523Z",
"sourceUpdatedAt": "2026-02-24T19:41:21.523Z",
"freshnessSeconds": 4428524
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/thelakeman-hyperion/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/thelakeman-hyperion/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/thelakeman-hyperion/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP",
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T01:50:06.385Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "MCP",
"type": "protocol",
"support": "supported",
"confidenceSource": "contract",
"notes": "Confirmed by capability contract"
},
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:MCP|supported|contract protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Thelakeman",
"href": "https://github.com/TheLakeMan/Hyperion",
"sourceUrl": "https://github.com/TheLakeMan/Hyperion",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "MCP, OpenClaw",
"href": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:41:21.523Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "mcp, api_key",
"href": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:41:21.523Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/TheLakeMan/Hyperion#input",
"sourceUrl": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:41:21.523Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/thelakeman-hyperion/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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