activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Crawler Summary
An AI-powered command line interface built with CrewAI. Uses a two-agent system (Router and Executor) to interpret natural language commands and safely perform shell, file system, code editing, and Git operations. AI Command Line Agent (CrewAI Terminal Assistant) An intelligent, AI-powered Command Line Interface (CLI) assistant built using **CrewAI** and **Python**. It translates natural language prompts into automated local actions using a two-agent sequential architecture (Router & Executor) and executes them using specialized tools. Architecture Flow The system uses a sequential agent pipeline: 1. **Router Agent**: Analyzes Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
ai-terminal-assistant 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
An AI-powered command line interface built with CrewAI. Uses a two-agent system (Router and Executor) to interpret natural language commands and safely perform shell, file system, code editing, and Git operations. AI Command Line Agent (CrewAI Terminal Assistant) An intelligent, AI-powered Command Line Interface (CLI) assistant built using **CrewAI** and **Python**. It translates natural language prompts into automated local actions using a two-agent sequential architecture (Router & Executor) and executes them using specialized tools. Architecture Flow The system uses a sequential agent pipeline: 1. **Router Agent**: Analyzes
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Ayushsingh 02082004
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Unpublished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 10/9/2026.
Setup snapshot
Setup 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
Ayushsingh 02082004
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/Ayushsingh-02082004/ai-terminal-assistant.git cd ai-terminal-assistant
bash
python -m venv venv # Activate it (Windows PowerShell): .\venv\Scripts\Activate.ps1 # Activate it (macOS/Linux): source venv/bin/activate
bash
pip install -r backend/requirements.txt
bash
cp backend/.env.example backend/.env
ini
OLLAMA_API_KEY=your_private_api_key_here OLLAMA_MODEL_NAME=gemma4:31b-cloud OLLAMA_API_BASE=https://ollama.com/v1
bash
cd backend python run.py
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
An AI-powered command line interface built with CrewAI. Uses a two-agent system (Router and Executor) to interpret natural language commands and safely perform shell, file system, code editing, and Git operations. AI Command Line Agent (CrewAI Terminal Assistant) An intelligent, AI-powered Command Line Interface (CLI) assistant built using **CrewAI** and **Python**. It translates natural language prompts into automated local actions using a two-agent sequential architecture (Router & Executor) and executes them using specialized tools. Architecture Flow The system uses a sequential agent pipeline: 1. **Router Agent**: Analyzes
An intelligent, AI-powered Command Line Interface (CLI) assistant built using CrewAI and Python. It translates natural language prompts into automated local actions using a two-agent sequential architecture (Router & Executor) and executes them using specialized tools.
The system uses a sequential agent pipeline:
rich library.git clone https://github.com/Ayushsingh-02082004/ai-terminal-assistant.git
cd ai-terminal-assistant
It is recommended to run the project in a clean virtual environment:
python -m venv venv
# Activate it (Windows PowerShell):
.\venv\Scripts\Activate.ps1
# Activate it (macOS/Linux):
source venv/bin/activate
pip install -r backend/requirements.txt
Create your local .env file in the backend/ folder:
cp backend/.env.example backend/.env
Open backend/.env and fill in your Ollama Cloud (or custom endpoint) credentials:
OLLAMA_API_KEY=your_private_api_key_here
OLLAMA_MODEL_NAME=gemma4:31b-cloud
OLLAMA_API_BASE=https://ollama.com/v1
To start the interactive loop, navigate to the backend/ directory and run:
cd backend
python run.py
list all files in the current foldercreate a file named hello.txt with the content "Hello World"check the git status of the repositoryverify the python syntax of backend/run.pyfind the file names in the backend folder whose size is less than 20 MBbackend/run.py — Application launcher.backend/src/cli_agent/main.py — CLI user loop.backend/src/cli_agent/crew.py — Orchestrator tying LLMs, agents, and tasks together.backend/src/cli_agent/config/agents.yaml — Declarative roles for Router and Executor.backend/src/cli_agent/config/tasks.yaml — Declarative routing and execution tasks.backend/src/cli_agent/services/ — Custom Python tools (Shell, File, Code, Git).backend/src/cli_agent/utils/formatter.py — CLI terminal output styling.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://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/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.
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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-ayushsingh-02082004-ai-terminal-assistant/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-09T18:22:52.094Z"
}
},
"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": "Ayushsingh 02082004",
"href": "https://github.com/Ayushsingh-02082004/ai-terminal-assistant",
"sourceUrl": "https://github.com/Ayushsingh-02082004/ai-terminal-assistant",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T14:16:29.567Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T14:16:29.567Z",
"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-ayushsingh-02082004-ai-terminal-assistant/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ayushsingh-02082004-ai-terminal-assistant/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
Ads related to ai-terminal-assistant and adjacent AI workflows.