Who should use llmesh-llive?

llmesh-llive is an open-source project built for AI researchers and industrial IoT developers.

Is llmesh-llive free?

Yes — llmesh-llive is open source under the Apache-2.0 license and free to use.

What platforms does llmesh-llive run on?

llmesh-llive runs on the command line. It can also be self-hosted.

Is llmesh-llive still active?

Unverified. llmesh-llive 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 llmesh-llive?

Similar projects tracked by PulseGate include llmesh-llove, llmesh-mcp, and Mesh LLM.

Is llmesh-llive open source?

Yes — llmesh-llive is open source under the Apache-2.0 license.

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llmesh-llive

PyPIInfrastructure

llmesh-llive is an open-source framework for building self-evolving large language models with modular memory, designed for continual learning and industrial IoT mesh scenarios. It supports formal verification and TUI-based human-in-the-loop workflows, targeting AI researchers and developers in industrial automation.

Open SourceApache-2.0CLISelf-hosted

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Overview

5 features

llmesh-llive is an AI project. It enables developers to build self-evolving LLM systems with modular memory for industrial and IoT applications. llmesh-llive is an open-source project aimed at AI researchers and industrial IoT developers. The project is open source (Apache-2.0). It runs on the command line, and it can be self-hosted.

llmesh-llive first shipped in 2026. Among its 5 catalogued features are modular memory, continual learning, and formal verification.

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

Modular memory
Continual learning
Formal verification
TUI interface
Industrial IoT mesh

Built with & integrations

AI providers

local_oss

Runs on

CLISelf-hosted

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen Source

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jun · 20:34 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about llmesh-llive

What does llmesh-llive do?: Llmesh-llive enables developers to build self-evolving LLM systems with modular memory for industrial and IoT applications. It is catalogued under AI on PulseGate.
Who should use llmesh-llive?: llmesh-llive is an open-source project built for AI researchers and industrial IoT developers.
Is llmesh-llive free?: Yes — llmesh-llive is open source under the Apache-2.0 license and free to use.
What platforms does llmesh-llive run on?: llmesh-llive runs on the command line. It can also be self-hosted.
Is llmesh-llive still active?: Unverified. llmesh-llive 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 llmesh-llive?: Similar projects tracked by PulseGate include llmesh-llove, llmesh-mcp, and Mesh LLM.llmesh-llove llmesh-mcp Mesh LLM
When did llmesh-llive launch?: llmesh-llive first shipped in 2026.
Is llmesh-llive open source?: Yes — llmesh-llive is open source under the Apache-2.0 license.

At a glance

Platforms: Cli
Languages: English
License: Apache-2.0
Built for: AI researchers and industrial IoT developers
Model: Open source
Solves: Enables developers to build self-evolving LLM systems with modular memory for industrial and IoT applications.

Registered as

PyPI: llmesh-llive

Developer

Pypi

Index record

Identity confidence: Low · 64
Indexed: 27 Jun 2026
Lifecycle: Alive
Last seen: 27 Jun 2026

Identity audit (12)

Slug: llmesh-llive-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 27 Jun 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.
Canonical URL: https://pypi.org/project/llmesh-llive

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