Pillar

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Pillar is an open-source AI agent orchestration framework by Xii-Power that lets developers build intelligent assistants with modular planning, context memory, and plugin-based action execution. It supports seamless integration with LLM APIs and external services, providing asynchronous task handling, configurable pipelines, and custom plugin support. Quickly deploy AI agents for customer support, research assistance, and workflow automation.
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May 10 2025
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Pillar

Pillar

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0
Pillar
Pillar is an open-source AI agent orchestration framework by Xii-Power that lets developers build intelligent assistants with modular planning, context memory, and plugin-based action execution. It supports seamless integration with LLM APIs and external services, providing asynchronous task handling, configurable pipelines, and custom plugin support. Quickly deploy AI agents for customer support, research assistance, and workflow automation.
Added on:
Social & Email:
Platform:
May 10 2025
--
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What is Pillar?

Pillar is a comprehensive AI agent framework designed to simplify the development and deployment of intelligent multi-step workflows. It features a modular architecture with planners for task decomposition, memory stores for context retention, and executors that perform actions via external APIs or custom code. Developers can define agent pipelines in YAML or JSON, integrate any LLM provider, and extend functionality through custom plugins. Pillar handles asynchronous execution and context management out of the box, reducing boilerplate code and accelerating time-to-market for AI-driven applications such as chatbots, data analysis assistants, and automated business processes.

Who will use Pillar?

  • AI developers
  • Software engineers
  • Data scientists
  • Automation engineers
  • DevOps teams

How to use the Pillar?

  • Step1: Install via pip install pillar or npm install @xii-power/pillar
  • Step2: Initialize a new agent project with pillar init
  • Step3: Configure planner, memory, and executor modules in config.yaml
  • Step4: Provide LLM API keys and external tool credentials
  • Step5: Define tasks and actions using YAML or JSON schema
  • Step6: Run the agent with pillar run and monitor logs
  • Step7: Extend functionality by developing custom plugins
  • Step8: Deploy with Docker or cloud container services

Platform

  • mac
  • windows
  • linux

Pillar's Core Features & Benefits

The Core Features

  • Modular agent architecture
  • Built-in memory management
  • Multi-step task planning
  • External API and tool integration
  • Custom plugin support
  • Asynchronous execution

The Benefits

  • Accelerates AI agent development
  • Ensures modular and reusable components
  • Simplifies context and state handling
  • Supports complex workflows
  • Flexible customization and extension

Pillar's Main Use Cases & Applications

  • Automated customer support bots
  • Research and knowledge assistants
  • Enterprise workflow automation
  • Data extraction and analysis agents

FAQs of Pillar

Pillar Company Information

Pillar Reviews

5/5
Do You Recommend Pillar? Leave a Comment Below!

Pillar's Main Competitors and alternatives?

  • LangChain
  • AutoGen
  • Haystack
  • Azure Bot Framework

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