Every modern AI excels at reasoning, but lacks safe, deterministic, zero-fail execution. Vibra-Ingenn is the local runtime in pure Go that gives AI models physical hands: the AI compiles a single structured recipe, and Vibra executes the workflow locally in memory with zero external dependencies.
⚡ Universal AI Integration Hub: Chain local models (Ollama, LM Studio) with frontier cloud models in the same recipe. Model-agnostic by design.
Why traditional multi-turn chat loops bleed tokens and fail on complex tasks, and how single-pass compilation solves it.
ai_call step can be triggered hundreds of times via shell or cron with zero model involvement and zero token cost. The recipe IS a standalone program.| System Dimension | Traditional Agent Loops (ReAct / AutoGPT) | Vibra-Ingenn (Vibe Engine) |
|---|---|---|
| Token Cost Profile | Re-sends full history on every step — cost grows per turn | Single-pass recipe — model touches the task once |
| Step-to-Step Latency | Network round-trip to LLM on every step | Local execution in compiled Go — no round-trips |
| Small Local Model Reliability | Small models lose context after a few turns | Small models excel at single-pass JSON output |
| Portability Across Machines | Hardcoded absolute paths break across machines | Deep template variables: {{desktop_dir}}, {{date}} |
| Compliance & Verification | Unverified black box; no proof of file integrity | Cryptographic SHA-256 audit_receipt.json |
| Runtime Dependencies | Heavy Python trees, virtualenvs, pip package conflicts | Single standalone Go binary (Zero Python/Node) |
Traditional AI automation forces an asymmetric penalty: agent loops re-send your entire conversation history on every step, so the cost of experimentation adds up fast. An indie maker running experiments has to be right early or bleed capital.
When every task re-sends your full conversation, rapid iterative testing of unproven ideas gets expensive fast. Developers abandon promising automation strategies before they ever find product-market fit.
Single-pass compilation means the model writes the recipe once. Reruns cost nothing — pure execution, no model call. On local models, every run is free. You can test 100 different automated strategies, fail 99 times, and need only 1 winner to generate net profit.
Enabled by: native Go runtime, single-pass recipe compilation, and zero ongoing token consumption on pure-execution recipes.
Transforming free, open-weight local models into reliable workflow automation engines.
Small 7B open-weight models (Llama 3.2 3B/7B, DeepSeek-R1 7B, Qwen 2.5) struggle when forced to act as "monolithic all-in-one conversational agents." In multi-turn chat loops, small models quickly lose schema constraints, hallucinate function names, and break.
When treated according to the Unix Philosophy — where each model invocation is a single specialized primitive with zero-temperature sampling (temperature 0.0) and schema baking — 7B models operate with near 100% precision. Vibra-Ingenn is the Unix pipe (|) and deterministic shell runtime.
vibra-llama Model
Vibra ships a purpose-built Modelfile (recipes/ai/Modelfile.vibra) with deterministic zero-temperature settings, stop tokens, and the entire recipe protocol baked directly into the system prompt:
ollama create vibra-llama -f recipes/ai/Modelfile.vibra
ollama run vibra-llama "Create a report on my desktop"
Every recipe is a clean, committable JSON file that executes physical tasks without external Python scripts.
strip_html DOM cleanup.{
"workflow_id": "automated-data-digest",
"description": "Fetches data, runs local analysis, and writes summary to desktop",
"tasks": [
{
"id": "fetch_api_data",
"trigger": "manual",
"action_type": "http_request",
"target": "https://api.github.com/repos/golang/go",
"payload": { "method": "GET" },
"output": { "store_as": "api_result", "pass_to_next": true },
"next": "write_summary_file"
},
{
"id": "write_summary_file",
"trigger": "event:prev_success",
"action_type": "file_op",
"target": "{{desktop_dir}}\\go_repo_digest.md",
"payload": {
"operation": "write",
"content": "# Go Repository Status\n\nFetched at: {{date}}\nStars: {{api_result.stargazers_count}}"
},
"output": { "log": true }
}
]
}
Explore real, battle-tested recipes that execute locally in milliseconds.
// Executable via: .\vibra run .\recipes\system\code_auditor.json
{
"workflow_id": "code-security-auditor",
"tasks": [
{
"id": "read_source_file",
"action_type": "file_op",
"target": "internal/handlers/http_request.go",
"payload": { "operation": "read" },
"output": { "store_as": "source_code", "pass_to_next": true },
"next": "audit_with_local_llm"
},
{
"id": "audit_with_local_llm",
"action_type": "ai_call",
"target": "http://127.0.0.1:11434/v1/chat/completions",
"payload": {
"model": "vibra-llama",
"prompt": "Perform OWASP vulnerability audit on: {{source_code}}"
},
"output": { "store_as": "audit_notes" },
"next": "write_audit_report"
},
{
"id": "write_audit_report",
"action_type": "file_op",
"target": "{{desktop_dir}}\\security_audit_report.md",
"payload": { "operation": "write", "content": "{{audit_notes}}" }
}
]
}
// Executable via: .\vibra run .\recipes\web\news_digest_pipeline.json
{
"workflow_id": "hacker-news-intelligence-digest",
"tasks": [
{
"id": "scrape_hn_frontpage",
"action_type": "http_request",
"target": "https://news.ycombinator.com",
"payload": { "method": "GET", "strip_html": true },
"output": { "store_as": "clean_news" },
"next": "save_digest"
},
{
"id": "save_digest",
"action_type": "file_op",
"target": "{{desktop_dir}}\\hn_daily_briefing_{{date}}.md",
"payload": { "operation": "write", "content": "{{clean_news}}" }
}
]
}
audit_receipt.json.
// Executable via: .\vibra run .\recipes\system\workspace_inspector.json
{
"workflow_id": "workspace-health-inspector",
"tasks": [
{
"id": "scan_directory",
"action_type": "file_op",
"target": ".",
"payload": { "operation": "list", "recursive": false },
"output": { "store_as": "dir_tree", "pass_to_next": true },
"next": "generate_dossier"
},
{
"id": "generate_dossier",
"action_type": "file_op",
"target": "workspace_dossier.json",
"payload": { "operation": "write", "content": "{{dir_tree}}" }
}
]
}
// Executable via: .\vibra run .\recipes\web\crypto_pipeline.json
{
"workflow_id": "crypto-live-ticker",
"tasks": [
{
"id": "get_prices",
"action_type": "http_request",
"target": "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin,ethereum&vs_currencies=usd",
"payload": { "method": "GET" },
"output": { "store_as": "prices" },
"next": "write_ticker"
},
{
"id": "write_ticker",
"action_type": "file_op",
"target": "{{desktop_dir}}\\crypto_snapshot_{{date}}.txt",
"payload": {
"operation": "write",
"content": "BTC: ${{prices.bitcoin.usd}} | ETH: ${{prices.ethereum.usd}}"
}
}
]
}
On startup, Vibra automatically scans your system ports for running AI engines. Zero manual configuration required.
Add to %APPDATA%\Claude\claude_desktop_config.json:
{
"mcpServers": {
"vibra-ingenn": {
"command": "C:\\tools\\Vibra-Ingenn\\vibra.exe",
"args": ["mcp"]
}
}
}
Navigate to Settings → Features → MCP → Add Server:
Name: vibra-ingenn
Type: command
Command: C:\tools\Vibra-Ingenn\vibra.exe mcp
Inside Cline or Roo Code MCP settings:
{
"mcpServers": {
"vibra-ingenn": {
"command": "C:\\tools\\Vibra-Ingenn\\vibra.exe",
"args": ["mcp"]
}
}
}
Prefer a graphical browser interface? Launch the built-in web dashboard with one terminal command:
.\vibra serve
# Launches live dashboard on http://localhost:8990
Traditional AI agents act as black boxes with no tamper-evident audit trail. Vibra-Ingenn creates cryptographic certainty:
Every file written or modified by a recipe has its SHA-256 hash automatically calculated and logged into an immutable audit_receipt.json file for enterprise compliance.
Cryptographic machine-bound token licensing over HTTPS protects intellectual property without triggering aggressive antivirus false positives or locking users out of their local files.
Instant license key delivery, 7-day free trial, and 1-click Windows installer.
The full deterministic recipe engine running 100% locally on your machine against your own local models.
Full professional execution suite with outbound HTTP calls, self-healing retries, and unrestricted multi-step automations.
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