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Inferable

Inferable is the Developer-first platform for creating secure, reliable agentic automations from your greenfield or brownfield code.
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Inferable

Inferable is an open source platform that helps you build reliable LLM-powered agentic automations at scale.

1️⃣ Define capabilities by writing functions in your language of choice.

2️⃣ Define automation logic using a simple declarative syntax.

3️⃣ Inferable manages the agent runtime, agent state, load balancing, function orchestration, failure recovery, caching, and more.

Getting Started

  • Quick Start Guide: Get up and running with Inferable in minutes.
  • GitHub Repository: Open source, MIT-licensed, and self-hostable solution for building AI applications that can connect to your data systems.

Documentation

  • Documentation: Comprehensive guides, API references, and examples to help you get started.
  • Blog: Guides, tutorials, and other resources on LLMs, agentic automations, and distributed systems.

Use Cases

  • Data Connector: Chat with your data systems using Inferable - Connect and query your databases naturally using our open source data connector.

Pinned Loading

  1. sentinel Public

    Extremely light low-latency tokenization proxy.

    Go 4 1

  2. inferable-bash Public archive

    A lightweight Bash SDK for interacting with the Inferable API. This SDK allows you to register and run Inferable functions directly from shell scripts.

    Shell

  3. bootstrap-dotnet Public archive

    C#

  4. proxy Public

    A self-hosted proxy that bridges internal systems and Inferable

    TypeScript

  5. inferable Public

    Build reliable AI Workflows with humans in the loop.

    TypeScript 352 22

Repositories

Showing 10 of 18 repositories
  • inferable Public

    Build reliable AI Workflows with humans in the loop.

    TypeScript 352 MIT 22 11 22 Updated Mar 24, 2025
  • inferable-node-starter Public
    TypeScript 0 0 0 0 Updated Mar 9, 2025
  • l1m Public

    The easiest way to get structured data from unstructured text or images using LLMs. No prompt engineering, no chat history, just a simple API to extract structured JSON from text or images.

    TypeScript 48 MIT 4 0 0 Updated Mar 5, 2025
  • demo Public

    Demo services for Inferable local installation

    TypeScript 0 MIT 0 0 0 Updated Jan 7, 2025
  • system-information-agent Public

    An example service that gets the system information of the host machine.

    TypeScript 0 MIT 0 0 0 Updated Dec 11, 2024
  • postgres-rls-demo Public
    TypeScript 0 0 0 0 Updated Dec 1, 2024
  • .github Public
    0 0 0 0 Updated Nov 30, 2024
  • ollama-dynamic-tools Public

    Dynamic tool attachment for LLM Application

    TypeScript 0 MIT 0 0 0 Updated Nov 25, 2024
  • ollama-structured-outputs Public

    A TypeScript-based parser implementation that uses Zod for schema validation with retries to force an LLM to return a structured output.

    TypeScript 1 0 0 0 Updated Nov 24, 2024
  • sqlite-ollama-rag Public

    A simple demonstration of building a Retrieval Augmented Generation (RAG) system using SQLite and Ollama for local, on-device vector search.

    Shell 24 MIT 2 0 0 Updated Nov 12, 2024
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