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aire-ai

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 30 Jul 2026. How this is checked

aire-ai is a Python library that offers a unified interface for creating, evaluating, and deploying AI agents and systems. It supports LLM orchestration, RAG pipelines, workflows, and evaluation tools in a consistent manner from prototype to production. It is designed for developers building AI applications who want to avoid framework fragmentation.

Inferred · not functionally tested

Open SourceApache-2.0CLIAPI
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Overview

5 features

Purpose: Building and deploying AI agents and RAG systems without juggling multiple incompatible frameworks and interfaces.

Inferred · not functionally tested

Audience: developers

Inferred · not functionally tested

Functions: agents, rag, workflow_automation

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

aire-ai is a Frameworks & runtimes project. Inferred · not functionally tested: It focuses on building and deploying AI agents and RAG systems without juggling multiple incompatible frameworks and interfaces. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: aire-ai is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the command line and API.

Behind aire-ai is desenyon, and it first shipped in 2026. The project is developed in the open on GitHub with 173 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are Agent Framework, LLM Workflows, and RAG Support. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Agent Framework
  • LLM Workflows
  • RAG Support
  • Evaluation Tools
  • Consistent Interface

Topics: Inferred · not functionally tested

Tags
agent-frameworkrag-libraryllm-workflowsai-evaluation
AI capabilities
TextCodeMultimodal
Inference: Hybrid

JSON profile · Text profile · Access guide

Built with & integrations

Framework
FastAPI
AI providers
anthropicopenailocal_oss
Connectors
API
Runs on
CLIAPI-only

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed30 Jul · 00:06 UTC
    aire-ai seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about aire-ai

What is aire-ai?
Inferred · not functionally tested: Aire-ai focuses on building and deploying AI agents and RAG systems without juggling multiple incompatible frameworks and interfaces. It is catalogued under Frameworks & runtimes on PulseGate.
Who is aire-ai for?
Inferred · not functionally tested: aire-ai is an open-source project built for developers.
Does aire-ai have a free plan?
Basis unknown · not verified: Yes — aire-ai is open source under the Apache-2.0 license and free to use.
What platforms does aire-ai run on?
Basis unknown · not verified: aire-ai runs on the command line and API.
Is aire-ai still active?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 173 commits in the last 90 days.
What projects are similar to aire-ai?
Similar projects tracked by PulseGate include ai-team, AI Agent, and aasai.ai-teamAI Agentaasai
Who develops aire-ai?
aire-ai is developed by desenyon.
How long has aire-ai been around?
aire-ai first shipped in 2026.

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