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The The-Weaver MCP server was last committed today and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

The-Weaver MCP Server

Name: Claudioappassionato/The-Weaver
Rating: 3.1 (1 reviews)
Author: Claudioappassionato

Claudioappassionato/The-Weaver

Score: 51.4 Rank #79 MCP Server

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The Weaver: Autonomous Neuro-Memory MCP Server for LM Studio. Transforms local LLMs into autonomous entities via PyTorch LoRA engine. Features bio-inspired exponential memory decay (Ebbinghaus), Semantic Dream Mode (Random Walk), and Zero-Tick async background consolidation.

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Overview

Claudioappassionato/The-Weaver is a Python MCP server. The Weaver: Autonomous Neuro-Memory MCP Server for LM Studio. Transforms local LLMs into autonomous entities via PyTorch LoRA engine. Features bio-inspired exponential memory decay (Ebbinghaus), Semantic Dream Mode (Random Walk), and Zero-Tick async background consolidation.

Ranked #79 out of 129 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

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Dependents medium impact

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: —
Last Commit: today

Matched Queries

"mcp server""mcp-server"

From the README

# 🧩 My name is Claudio Arena. I am not a programmer, but a creative mind who constantly pushes boundaries. This project is the pure result of passion and willpower.

# 🧠 The Weaver: Autonomous Neuro-Memory for LM Studio (v1.3)

An autonomous cognitive ecosystem (MCP Server) designed for local AI. It is capable of vector-distilling conversational logs, organically forgetting obsolete information through a bio-inspired decay model (Ebbinghaus), dreaming (Associative Random Walk), and self-healing internal conflicts using a custom LoRA Engine.

Tailor-made for advanced models (e.g., Qwen, Llama3, DeepSeek) loaded on **LM Studio**, preserving total local processing and zero latency costs.

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## 🌟 Core Architectural Features

### 1. 🧬 LIGM Engine v3 (Neural Active Memory via LoRA)
Not just a simple database or a basic RAG retriever. This experimental module (developed in pure `PyTorch`, see `core/lora_engine.py`) allows the system to "internalize" patterns from algorithmic vectors. T

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