ingra
🥈SilverAn open-source, AI-powered Functions-as-a-Service (FaaS) platform that enables LLMs like ChatGPT to perform real-world tasks through dynamic function execution. By connecting LLMs to function calls, Ingra unlocks automation, complex integrations, and real-time context loading. paving the way towards true AGI potential and beyond.
700Updated 2mo ago
Intermediate30min to implementautomation
Saves ~150 min per use
Quick InstallView Source
git clone https://github.com/ingra-ai/ingra.gitWorks with:
Claude
Overview
About This Skill
Ingra is an open-source Functions-as-a-Service platform designed to extend LLM capabilities through curated function execution. It provides a centralized Functions Hub where developers can manage, document, and share functions with auto-generated OpenAPI and Swagger specifications. All functions execute in isolated virtual machines for security, and the platform includes a function marketplace for community-driven discovery. Ingra integrates with OpenAI ChatGPT plugins and supports self-hosted deployments with configurable PostgreSQL, Redis, Pinecone, and AWS SES backends, enabling teams to build personal assistant suites tailored to their specific needs.
How to Use
Clone the repository and install dependencies using pnpm, npm, or yarn. Configure your PostgreSQL database connection in the .env file and run Prisma migrations with `pnpm db:migrate:dev`. Set up JWT authentication with a secure secret and AWS SES for email functionality, then start the Next.js applications for hubs, auth, and chat interfaces.
Use Cases
Creating personal AI assistant suites with curated function libraries
Publishing and discovering reusable functions in the community marketplace
Integrating ChatGPT with custom business logic via OpenAPI auto-generation
Running isolated function execution with granular privacy controls
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/ingra-ai/ingraRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as an AI assistant using Ingra to automate tasks. I need to [TASK]. I have access to the following functions: [FUNCTIONS]. Use these functions to complete the task. Provide a step-by-step plan and execute the functions as needed.
Example Output
# Task Automation Plan
## Task: Schedule a Meeting
### Step 1: Check Calendar Availability
- Function: `check_calendar_availability`
- Parameters: {"date": "2023-11-15", "time": "14:00:00"}
- Result: Available
### Step 2: Send Meeting Invitation
- Function: `send_meeting_invitation`
- Parameters: {"attendees": ["[email protected]", "[email protected]"], "subject": "Project Update", "body": "Let's discuss the project progress.", "date": "2023-11-15", "time": "14:00:00"}
- Result: Invitation sent successfully
### Step 3: Set Reminder
- Function: `set_reminder`
- Parameters: {"date": "2023-11-15", "time": "13:30:00", "message": "Meeting with John and Jane"}
- Result: Reminder set successfully
## Task Completed
The meeting has been scheduled, invitations sent, and a reminder set.Apply to these tools
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