Github ReposUpdated 7h agoRank 70
AionUi
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
MCPOPENCLAW
Crawler Summary
GreenPath_AI answer-first brief
🚚 Autonomous Multi-Agent Logistics Gateway built with CrewAI and local LLMs (Mistral-7B). Optimizes supply chain workflows by balancing shipping costs, trade compliance, and carbon footprint (ESG) through a sequential multi-agent pipeline. 🌿 GreenPath AI: Multi-Agent Logistics & ESG Optimizer GreenPath AI is a sophisticated autonomous system built with **CrewAI** and **Ollama**. It demonstrates how a multi-agent "brain" can automate complex supply chain decisions by balancing shipping costs, legal compliance, and environmental impact (CO2 footprint). 🚀 The Value Proposition In traditional logistics, choosing a carrier requires manual cross-referencin Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
GreenPath_AI 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 REPOS, runtime-metrics, public facts pack
Agent DossierGITHUB REPOSSafety: 66/100
GreenPath_AI
🚚 Autonomous Multi-Agent Logistics Gateway built with CrewAI and local LLMs (Mistral-7B). Optimizes supply chain workflows by balancing shipping costs, trade compliance, and carbon footprint (ESG) through a sequential multi-agent pipeline. 🌿 GreenPath AI: Multi-Agent Logistics & ESG Optimizer GreenPath AI is a sophisticated autonomous system built with **CrewAI** and **Ollama**. It demonstrates how a multi-agent "brain" can automate complex supply chain decisions by balancing shipping costs, legal compliance, and environmental impact (CO2 footprint). 🚀 The Value Proposition In traditional logistics, choosing a carrier requires manual cross-referencin
OpenClawself-declared
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Verifiededitorial-contentNo verified compatibility signals
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust evidence available
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Logical Dhruv
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
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 10/9/2026.
Setup snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 2
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.
Evidence Ledger
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor (1)
Vendor
Logical Dhruv
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
python
Executable Examples
mermaid
graph TD
A[User Request: Route & Weight] --> B(Strategist: Finds Carriers)
B --> C(Compliance Officer: Filters Legal Status)
C --> D{Is Carrier Verified?}
D -- No --> E[Exclude from List]
D -- Yes --> F(Auditor: Calculates CO2)
F --> G(Manager: Final Recommendation)
G --> H[Final Report]bash
git clone [https://github.com/AlgorithmicDhruv/GreenPath_AI.git](https://github.com/AlgorithmicDhruv/GreenPath_AI.git)
cd GreenPath_AIbash
pip install -r requirements.txt
bash
ollama pull mistral:7b-instruct-v0.3-q4_K_M
text
OPENAI_API_KEY=NA
bash
python greenpath_main.py
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
🚚 Autonomous Multi-Agent Logistics Gateway built with CrewAI and local LLMs (Mistral-7B). Optimizes supply chain workflows by balancing shipping costs, trade compliance, and carbon footprint (ESG) through a sequential multi-agent pipeline. 🌿 GreenPath AI: Multi-Agent Logistics & ESG Optimizer GreenPath AI is a sophisticated autonomous system built with **CrewAI** and **Ollama**. It demonstrates how a multi-agent "brain" can automate complex supply chain decisions by balancing shipping costs, legal compliance, and environmental impact (CO2 footprint). 🚀 The Value Proposition In traditional logistics, choosing a carrier requires manual cross-referencin
Full README
🌿 GreenPath AI: Multi-Agent Logistics & ESG Optimizer
GreenPath AI is a sophisticated autonomous system built with CrewAI and Ollama. It demonstrates how a multi-agent "brain" can automate complex supply chain decisions by balancing shipping costs, legal compliance, and environmental impact (CO2 footprint).
🚀 The Value Proposition
In traditional logistics, choosing a carrier requires manual cross-referencing of rates, customs databases, and sustainability reports. GreenPath AI automates this by deploying four specialized AI Agents that collaborate in a sequential pipeline to deliver a data-backed recommendation in seconds.
🛠️ Tech Stack
- Orchestration: CrewAI
- LLM: Mistral-7B (via Ollama)
- Logic: Python 3.10+
- Tools: Custom Pydantic-based tools for data retrieval and math.
📂 Project Structure
greenpath_main.py: The entry point defining the Agents, Tasks, and Crew assembly.greenpath_core.py: The "Engine" containing the hard-coded logic for compliance checks and carbon math..env: Configuration for API keys and environment variables.
🌟 Key Features
- Multi-Agent Collaboration: Sequential delegation where agents pass context and filtered data to the next stage.
- Custom Tool Implementation: Pydantic-based tools that allow LLMs to interface with hard-coded logistics logic safely.
- Local LLM Integration: Optimized for privacy and cost-efficiency using Ollama and Mistral.
- ESG-Centric Design: Prioritizes sustainability alongside traditional KPIs like cost and speed.
🤖 Meet the Agents
- Lead Logistics Strategist: Scans available carriers and shipping routes.
- Trade Compliance Officer: Audits carriers against TSA and US Customs status.
- Sustainability Auditor: Performs precise $CO_2$ calculations based on transport mode and weight.
- Supply Chain Manager: The executive agent that synthesizes reports into a final recommendation.
🔄 Agent Workflow
graph TD
A[User Request: Route & Weight] --> B(Strategist: Finds Carriers)
B --> C(Compliance Officer: Filters Legal Status)
C --> D{Is Carrier Verified?}
D -- No --> E[Exclude from List]
D -- Yes --> F(Auditor: Calculates CO2)
F --> G(Manager: Final Recommendation)
G --> H[Final Report]
⚙️ Installation & Setup
-
Clone the Repository:
git clone [https://github.com/AlgorithmicDhruv/GreenPath_AI.git](https://github.com/AlgorithmicDhruv/GreenPath_AI.git) cd GreenPath_AI -
Install Dependencies:
pip install -r requirements.txt -
Local LLM Setup (Ollama):
- Ensure Ollama is installed and running.
- Pull the Mistral model:
ollama pull mistral:7b-instruct-v0.3-q4_K_M -
Environment Variables: Create a
.envfile in the root directory:OPENAI_API_KEY=NA -
Run the System:
python greenpath_main.py
📊 Sample Logic: Carbon Calculation
The system uses a transparent math engine to calculate emissions: $$E = (W / 1000) \times D \times EF$$ Where:
- $W$ = Weight in kg
- $D$ = Distance in km
- $EF$ = Emission Factor (e.g., 0.50 for Air, 0.01 for Sea)
📜 License
This project is licensed under the MIT License - see the LICENSE file for details.
Contract & API
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
OpenClaw: self-declared
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/trust"
Reliability & Benchmarks
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
Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.
Media & Demo
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
No screenshots, media assets, or demo links are available.
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Machine Appendix
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://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-10T01:53:06.625Z"
}
},
"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": "Logical Dhruv",
"href": "https://github.com/Logical-Dhruv/GreenPath_AI",
"sourceUrl": "https://github.com/Logical-Dhruv/GreenPath_AI",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T23:22:36.420Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T23:22:36.420Z",
"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://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-logical-dhruv-greenpath-ai/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
}
]