seerai logo
seerai
★ 93
vs
hermes-agent logo
hermes-agent
★ 256.2k

seerai vs hermes-agent

seerai: Seerai is an AI-powered plugin for Zotero that enhances academic research by integrating intelligent chat, advanced scholarly search, and systematic review capabilities. It allows users to chat with their papers, extract structured data, manage systematic reviews, and accelerate literature reviews with a privacy-focused design.; hermes-agent: Hermes Agent is a self-improving AI agent from Nous Research with a built-in learning loop: it creates skills after complex tasks, improves them during use, searches its own past sessions and builds a model of the user over time. It works with any model provider, talks through a terminal UI or Telegram, Discord, Slack, WhatsApp and Signal, and runs on local, Docker, SSH or serverless backends.

01

TL;DR

seerai logo
seeraiWorkflow Automation · ★ 93

Accelerate literature reviews by chatting with papers, performing advanced scholarly searches, and importing findings efficiently.

hermes-agent logo
hermes-agentWorkflow Automation · ★ 256.2k

A personal assistant on a cheap VPS that you talk to from Telegram

02

Side-by-Side Comparison

Field
seerai logoseerai
hermes-agent logohermes-agent
Category
Workflow Automation
Workflow Automation
Stars
★ 93
★ 256.2k
License
MIT
MIT
Install Command
git clone https://github.com/dralkh/seerai.git && cd seerai && npm install && npm run build
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
Updated
2w ago
1d ago
Open Source
Yes
Yes
Tags
AI Research Assistant, Zotero Plugin, RAG
agent-framework, ai, ai-agent
03

Features

seerai logoseerai
01AI-Powered Chat Interface for contextual conversations with selected papers, multi-paper support, and multimodal generation.
02Semantic Search & Discovery with RAG, integrated web search, and federated scholarly search across 11 providers with AI query refinement.
03Agentic Chat & Tool Use, enabling AI to interact with your Zotero library, the web, and your workspace using a rich suite of tools.
04Comprehensive Systematic Review workflow, including protocol building, eligibility criteria, PRISMA flow, screening, data extraction, and meta-analysis.
hermes-agent logohermes-agent
01Autonomous skill creation after complex tasks, with skills that self-improve during use
02FTS5 session search with LLM summarization and Honcho user modeling for cross-session recall
03Single gateway for Telegram, Discord, Slack, WhatsApp, Signal and CLI
04Built-in cron scheduler with delivery to any platform
05Seven terminal backends: local, Docker, SSH, Singularity, Modal, Daytona, Vercel Sandbox
06Switch model providers with hermes model, no code changes
04

Use Cases

seerai logoseerai
↳Accelerate literature reviews by chatting with papers, performing advanced scholarly searches, and importing findings efficiently.
↳Conduct and manage end-to-end systematic reviews with automated protocol building, screening, data extraction, and meta-analysis support.
↳Extract and compare structured data points from multiple research papers into organized tables for comparative analysis.
hermes-agent logohermes-agent
↳A personal assistant on a cheap VPS that you talk to from Telegram
↳Unattended daily reports, backups and audits defined in natural language
↳Generating tool-calling trajectories for model training research
05

Best For

seerai logoseerai
—
hermes-agent logohermes-agent
Most Popular
FAQ

FAQ

What is the difference between seerai and hermes-agent?
Both seerai and hermes-agent are in the Workflow Automation category. seerai has 93 stars, while hermes-agent has 256.2k stars.
Which is better, seerai or hermes-agent?
The best choice depends on your use case. Choose seerai if Accelerate literature reviews by chatting with papers, performing advanced scholarly searches, and importing findings efficiently., and hermes-agent if A personal assistant on a cheap VPS that you talk to from Telegram.
Is seerai free or open source?
Yes, seerai is open source on GitHub (MIT).
Is hermes-agent free or open source?
Yes, hermes-agent is open source on GitHub (MIT).
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