Who should use fair-llm?

fair-llm is an open-source project built for AI developers.

Yes — fair-llm is open source under the MIT license and free to use.

What platforms does fair-llm run on?

fair-llm runs on the command line. It can also be self-hosted.

Is fair-llm still active?

Unverified. fair-llm has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to fair-llm?

Similar projects tracked by PulseGate include Agent M, agentos-framework, and llm.rb.

Who develops fair-llm?

fair-llm is developed by USAFA FAIR Lab, based in the United States.

When did fair-llm launch?

fair-llm first shipped in 2025.

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fair-llm

Name: fair-llm
Author: USAFA FAIR Lab

PyPIInfrastructure🇺🇸

fair-llm is an open-source modular framework for building multi-agent AI applications. It provides provider-agnostic LLM adapters, typed tools, ReAct planning, RAG-backed memory, and Model Context Protocol support for developers.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

6 features

In the Frameworks & SDKs space, fair-llm takes a focused approach. It focuses on building multi-agent AI applications with interchangeable LLM providers, typed tools, planning, memory, and MCP support. fair-llm is an open-source project aimed at AI developers. The project is open source (MIT). It runs on the command line, and it can be self-hosted.

It is developed by USAFA FAIR Lab (United States), and it first shipped in 2025. Key capabilities include multi-agent workflows, LLM adapters, and typed tools. It exposes integrations via an MCP server.

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

Multi-agent workflows
LLM adapters
Typed tools
ReAct planning
RAG memory
MCP support

Built with & integrations

Connectors

MCP

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed10 Aug · 18:39 UTC
fair-llm verified against its public source
Source: PulseGate · Open

Frequently asked questions about fair-llm

What is fair-llm?: Fair-llm focuses on building multi-agent AI applications with interchangeable LLM providers, typed tools, planning, memory, and MCP support. It is catalogued under Frameworks & SDKs on PulseGate.
Who should use fair-llm?: fair-llm is an open-source project built for AI developers.
Is fair-llm free?: Yes — fair-llm is open source under the MIT license and free to use.
What platforms does fair-llm run on?: fair-llm runs on the command line. It can also be self-hosted.
Is fair-llm still active?: Unverified. fair-llm has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to fair-llm?: Similar projects tracked by PulseGate include Agent M, agentos-framework, and llm.rb.Agent M agentos-framework llm.rb
Who develops fair-llm?: fair-llm is developed by USAFA FAIR Lab, based in the United States.
When did fair-llm launch?: fair-llm first shipped in 2025.

At a glance

Platforms: Cli
Languages: English
License: MIT
Built for: AI developers
Model: Open source
Solves: Building multi-agent AI applications with interchangeable LLM providers, typed tools, planning, memory, and MCP support.

Registered as

PyPI: fair-llm

Developer

🇺🇸USAFA FAIR Lab

Index record

Identity confidence: Low · 64
Indexed: 10 Aug 2026
Lifecycle: Alive
Last seen: 10 Aug 2026

Identity audit (13)

Slug: fair-llm-pypi-org
Lifecycle state recorded: 10 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Aug 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 10 Aug 2026
Canonical URL: https://pypi.org/project/fair-llm

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