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sir-thaddeus
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sir-thaddeus

Active·★ 15·Apache-2.0·Updated 2026-10-19

Sir Thaddeus is an open-source, local-first AI assistant and agent workspace specifically designed for Windows, enabling users to run local LLMs like LM Studio or Ollama with robust privacy controls. It provides features like threaded chat, durable memory, a Markdown wiki, and permissioned tools, all while ensuring no telemetry and explicit control over sensitive actions.

#Local AI#LLM Agent#Windows#Privacy#Tool-use#Knowledge Base
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#Offline-first
#Permission Control
$ Install
$ git clone https://github.com/raydeStar/sir-thaddeus.git cd sir-thaddeus
↗ Visit site★ GitHub
01

Features

01Local-first AI Assistant: Run models on your machine, offline by default, without accounts or telemetry.
02Robust Permission Control: Explicitly manage tool access (Off, Ask, Always) for sensitive actions like file access or web search.
03Integrated Knowledge Workspace: Includes threaded chat, durable memory, and a Markdown wiki with roots, folders, pages, and revisions.
04OpenAI-compatible Endpoint Support: Connects to LM Studio, Ollama, or any compatible `/v1` API endpoint.
05Transparency and Auditability: Provides sources, outcomes, permission decisions, diagnostics, and per-turn traces.
02

Compatibility

Windows
Platform
Verified via docs
LM Studio
LLM Endpoint
Verified via docs
Ollama
LLM Endpoint
Verified via docs
OpenAI API
API Standard
Verified via docs
03

Quick start

1
$ git clone https://github.com/raydeStar/sir-thaddeus.git
2
$ cd sir-thaddeus
04

Use cases

↳Private Research and Information Gathering: Conduct web searches and access local documents with explicit control over data sharing.
↳Personal Knowledge Management: Organize and recall information using the integrated Markdown wiki and durable memory, edited by AI.
↳Automated Local Tasks: Execute repeatable routines and system tools behind configured policy boundaries.
↳Secure Document Analysis: Process local files like PDF, DOCX, XLSX, and CSV with scoped file reading, ensuring sensitive data stays local.
↳Benchmarking AI Agent Performance: Utilize the built-in measurement framework to evaluate the effectiveness of small models with deterministic capabilities and verification.
05

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⚡Top VS:
VSvault-cortex★31→VSsolon-ai★466→VShister★6.1k→VS

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raydeStar /
sir-thaddeus
↗

Private, local-first AI assistant for Windows with permissioned tools, durable memory, and evidence-driven small-model improvements.

15Apache-2.0
Last commit4d ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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