🛠️

Tool

Vellum Assistant

Name: Vellum Assistant
Author: Vellum Ai

by Vellum Ai vellum-ai/vellum-assistant

Free2AITools Nexus Index

62.4

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 57

P: Popularity 58

R: Recency 100

Q: Quality 70

Tech Context

Vital Performance —

Source →

TypeScript Lang

Open Source 673 Stars

Alpha Reliability

Tool Information Summary
Entity Passport
Registry ID	vellum-ai/vellum-assistant
License	MIT
Provider	github

📜

Cite this tool

Academic & Research Attribution

BibTeX

@misc{gh_tool_vellum_ai_vellum_assistant,
  author = {Vellum Ai},
  title = {Vellum Assistant Tool},
  year = {2026},
  howpublished = {\url{https://github.com/vellum-ai/vellum-assistant}},
  note = {Accessed via Free2AITools.}
}

APA Style

Vellum Ai. (2026). Vellum Assistant [Tool]. Free2AITools. https://github.com/vellum-ai/vellum-assistant

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🐙 GitHub Clone

git clone https://github.com/vellum-ai/vellum-assistant

📦 NPM Install

npm install vellum-assistant

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 57

Popularity (P) 58

Recency (R) 100

Quality (Q) 70

💬 Index Insight

FNI V2.0 for Vellum Assistant: Authority (A:57), Popularity (P:58), Recency (R:100), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📋 Specs

Language: TypeScript
License: MIT
Version: —

CODE

🔌 Usage & Integration

Quick Start

git clone https://github.com/vellum-ai/vellum-assistant.git
cd vellum-assistant
./setup.sh
source ~/.bashrc
vellum hatch

Technical Documentation

A personal AI assistant that evolves with you.
8 different types of memory (episodic, semantic, procedural, emotional, prospective, behavioral, narrative, shared) make it truly yours. It learns how you work, remembers what matters, and takes action across your apps.

What it does

If you've set up a Personal AI on OpenClaw, Hermes Agent, or Claude Code, you know how long it takes, and how many times you have to hatch a new one to get it right. Vellum gets you the result you're looking for out of the box, one download away.

Area

Summary

Memory

Eight types (episodic, semantic, procedural, emotional, prospective, behavioral, narrative, shared), each with its own staleness window, hybrid dense + sparse retrieval, and per-user and per-channel isolation. Structured items (identity, preferences, projects, events) extracted from conversations with source attribution and dedup. Embeddings run locally by default. Not a SQLite + markdown file you maintain yourself.

Identity

Behavior lives in SOUL.md. During onboarding the assistant observes how you communicate and writes its own personality files. It keeps a per-user jour

Social Proof

GitHub Repository

673Stars

98Forks

Repo Issues

🐙 Data Source: GitHub ↗

🔄 Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: gh-tool--vellum-ai--vellum-assistant
slug: vellum-ai--vellum-assistant
source: github
author: Vellum Ai
license: MIT
tags: ai-assistant, anthropic, macos, open-source, openai, telegram-bot, agent, agentic-ai, autonomous-agents, claude, claude-code, ios, memory, openclaw, proactive-ai, slack, vellum-ai, typescript

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag: other

📊 Engagement & Metrics

downloads: 0
stars: 673
forks: 98
github stars: 673

Data indexed from public sources. Updated daily.