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llmesh-llive

PyPIInfrastructure

PulseGate's liveness check found it on 13 Sep 2026; it is registered on PyPI and has been in the index since 27 Jun 2026. How this is checked

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.

Inferred · not functionally tested

Open SourceApache-2.0CLISelf-hosted
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Overview

5 features

Purpose: Enables developers to build self-evolving LLM systems with modular memory for industrial and IoT applications.

Inferred · not functionally tested

Audience: AI researchers and industrial IoT developers

Inferred · not functionally tested

Functions: agents

Inferred · not functionally tested

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

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

Constraint provenance is unknown; confirm requirements with the publisher.

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

llmesh-llive is a Frameworks & SDKs project. Inferred · not functionally tested: It enables developers to build self-evolving LLM systems with modular memory for industrial and IoT applications. Inferred · not functionally tested: llmesh-llive is an open-source project aimed at AI researchers and industrial IoT developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

llmesh-llive first shipped in 2026. Inferred · not functionally tested: 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.

Tasks: Inferred · not functionally tested

  • Modular memory
  • Continual learning
  • Formal verification
  • TUI interface
  • Industrial IoT mesh

Topics: Inferred · not functionally tested

Tags
modular-memorycontinual-learningiot-mesh
AI capabilities
Text
Inference: LocalWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
local_oss
Runs on
CLISelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen Source

Indexing history

What PulseGate has recorded for this listing

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Frequently asked questions about llmesh-llive

What does llmesh-llive do?
Inferred · not functionally tested: Llmesh-llive enables developers to build self-evolving LLM systems with modular memory for industrial and IoT applications. It is catalogued under Frameworks & SDKs on PulseGate.
Who should use llmesh-llive?
Inferred · not functionally tested: llmesh-llive is an open-source project built for AI researchers and industrial IoT developers.
Is llmesh-llive free?
Basis unknown · not verified: Yes — llmesh-llive is open source under the Apache-2.0 license and free to use.
What platforms does llmesh-llive run on?
Basis unknown · not verified: llmesh-llive runs on the command line. It can also be self-hosted.
Is llmesh-llive still active?
PulseGate's liveness check found it on 13 Sep 2026.
What are alternatives to llmesh-llive?
Similar projects tracked by PulseGate include llmesh-llove, llmesh-mcp, and Mesh LLM.llmesh-llovellmesh-mcpMesh LLM
When did llmesh-llive launch?
llmesh-llive first shipped in 2026.
Is llmesh-llive open source?
Basis unknown · not verified: Yes — llmesh-llive is open source under the Apache-2.0 license.

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