Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Autonomous Supply Chain Agent | Full-Stack AI System that monitors inventory and drafts orders with Human-in-the-Loop approval. Built with Next.js, FastAPI, CrewAI & Supabase. ๐ค Auto-Procure: Autonomous Supply Chain Agent A Full-Stack AI Agent that autonomously monitors inventory levels, detects shortages, and drafts Purchase Orders for human approval. --- ๐ Overview **Auto-Procure** solves the "Blank Page Problem" in supply chain management. Instead of a human manually checking spreadsheets for low stock, an **Autonomous AI Agent** wakes up, scans the database, and proactively drafts or Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
auto-procure is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Autonomous Supply Chain Agent | Full-Stack AI System that monitors inventory and drafts orders with Human-in-the-Loop approval. Built with Next.js, FastAPI, CrewAI & Supabase. ๐ค Auto-Procure: Autonomous Supply Chain Agent A Full-Stack AI Agent that autonomously monitors inventory levels, detects shortages, and drafts Purchase Orders for human approval. --- ๐ Overview **Auto-Procure** solves the "Blank Page Problem" in supply chain management. Instead of a human manually checking spreadsheets for low stock, an **Autonomous AI Agent** wakes up, scans the database, and proactively drafts or
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Mlaitarovsky
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/MLaitarovsky/auto-procure.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
Mlaitarovsky
Protocol compatibility
OpenClaw
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
6
Snippets
0
Languages
python
bash
git clone [https://github.com/yourusername/auto-procure.git](https://github.com/yourusername/auto-procure.git) cd auto-procure
bash
OPENAI_API_KEY=sk-... SUPABASE_URL=http://host.docker.internal:54321 # Use this for local Docker (Windows/Mac) # OR use your cloud URL: https://xyz.supabase.co SUPABASE_KEY=...
bash
docker-compose up --build
bash
cd backend python -m venv venv # Windows: venv\Scripts\activate | Mac/Linux: source venv/bin/activate pip install -r requirements.txt
bash
python run.py # Server starts at [http://127.0.0.1:8000](http://127.0.0.1:8000)
bash
cd frontend npm install npm run dev # Dashboard runs at http://localhost:3000
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Autonomous Supply Chain Agent | Full-Stack AI System that monitors inventory and drafts orders with Human-in-the-Loop approval. Built with Next.js, FastAPI, CrewAI & Supabase. ๐ค Auto-Procure: Autonomous Supply Chain Agent A Full-Stack AI Agent that autonomously monitors inventory levels, detects shortages, and drafts Purchase Orders for human approval. --- ๐ Overview **Auto-Procure** solves the "Blank Page Problem" in supply chain management. Instead of a human manually checking spreadsheets for low stock, an **Autonomous AI Agent** wakes up, scans the database, and proactively drafts or
A Full-Stack AI Agent that autonomously monitors inventory levels, detects shortages, and drafts Purchase Orders for human approval.
Auto-Procure solves the "Blank Page Problem" in supply chain management. Instead of a human manually checking spreadsheets for low stock, an Autonomous AI Agent wakes up, scans the database, and proactively drafts orders when inventory hits a critical threshold.
The system features a Human-in-the-Loop workflow: the AI proposes the order with reasoning (e.g., "Stock is 5, minimum is 10"), but a human manager must click "Approve" on the dashboard to finalize it.
The system is built as a monorepo with a clear separation of concerns:
<br /> <div align="center"> <img width="800" alt="System Architecture" src="https://github.com/user-attachments/assets/1fd9a7c5-d3c4-4db1-bd9e-703290a205ab" /> </div> <br />The fastest way to test the system. No need to install Python or Node locally.
git clone [https://github.com/yourusername/auto-procure.git](https://github.com/yourusername/auto-procure.git)
cd auto-procure
.env file in the backend/ folder:OPENAI_API_KEY=sk-...
SUPABASE_URL=http://host.docker.internal:54321 # Use this for local Docker (Windows/Mac)
# OR use your cloud URL: https://xyz.supabase.co
SUPABASE_KEY=...
docker-compose up --build
The Dashboard will be available at http://localhost:3000 and the API at http://localhost:8000.
Use this if you want to modify the code or debug locally.
cd backend
python -m venv venv
# Windows: venv\Scripts\activate | Mac/Linux: source venv/bin/activate
pip install -r requirements.txt
Configure Keys Create a .env file in backend/ as shown in Option A.
Run Backend
python run.py
# Server starts at [http://127.0.0.1:8000](http://127.0.0.1:8000)
cd frontend
npm install
npm run dev
# Dashboard runs at http://localhost:3000
Once both servers are running, you can manually trigger the AI Agent to perform a supply chain check cycle.
Option 1: Via Terminal (API) Open a new terminal and run:
# Windows (PowerShell) - Note the .exe usage
curl.exe -X POST http://localhost:8000/run-agent
# Mac / Linux / Git Bash
curl -X POST http://localhost:8000/run-agent
Option 2: Via Dashboard
Navigate to http://localhost:3000.
View the Live Inventory Feed.
If an order is needed, the "AI Drafted Orders" section will appear automatically.
Click "Approve" to finalize the order.
The Supply Chain Analyst agent follows a strict logic loop:
OBSERVE: Calls the check_low_stock tool to scan the products table in Supabase.
REASON: Identifies items where current_stock < min_threshold.
ACT: Groups items by vendor and calls the create_draft_order tool.
RECORD: Writes a new row to the purchase_orders table with status pending_approval.
Example AI Output: "I have detected low stock for RTX 3080 (Count: 2, Min: 10). I am creating a draft order for 8 units to restore healthy levels."
The Dashboard Interface Real-time inventory tracking with the AI Approval Queue active.
<img width="2534" height="1183" alt="Screenshot 2026-02-06 184406" src="https://github.com/user-attachments/assets/ec062421-5702-45d0-8990-267cbc9efcf4" />[ ] Email Notifications: Send an alert to the manager when a draft is created.
[ ] Multi-Agent System: Add a "Price Negotiator" agent to check competitor prices.
[ ] Historical Analysis: Use vector search to predict seasonal trends.
Backend Connection Refused?
Ensure your SUPABASE_URL in .env uses http://host.docker.internal:54321 if running Supabase locally. localhost inside a container refers to the container itself, not your machine.
Frontend Fetch Failed?
Ensure your frontend code uses the Docker service name (http://backend:8000) for server-side fetches, and localhost for client-side fetches.
Contributions, issues, and feature requests are welcome!
This project is MIT licensed.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/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
Do not use if
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
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | ๐ Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T03:20:43.378Z"
}
},
"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": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "crewai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Mlaitarovsky",
"href": "https://github.com/MLaitarovsky/auto-procure",
"sourceUrl": "https://github.com/MLaitarovsky/auto-procure",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:49.556Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:49.556Z",
"isPublic": true
},
{
"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": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-mlaitarovsky-auto-procure/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub ยท 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
Ads related to auto-procure and adjacent AI workflows.