Tgv

Tgv: Terminal genome viewer that displays omics data and supports human-agent collaboration.

Tgv is a terminal-based genome viewer designed for both humans and AI agents. It runs directly in terminal sessions to explore genomes using vim-style commands or mouse interaction. The software supports file formats such as BAM, VCF, BCF, BED, and bigBed, along with object storage via s3 and UCSC reference genomes. It organizes omics data into a data engine exposed to agents through MCP, allowing multi-omics analysis via SQL queries. Users can install it via cargo, Homebrew, bioconda, or pre-built binaries.

Tgv at a glance

Best for: Researcher, Software engineer
Runs on: CLI, open source
Pricing: Free
Released: October 2026
Category: AI research tool
Website: github.com/zeqianli/tgv

Key features

Navigate genomes with vim-style commands
Support for BAM, VCF, BCF, BED, and bigBed files
Object storage support via s3
Human-agent collaboration through MCP
Execute multi-omics analysis with SQL queries
Mouse click, scroll, drag, and hover support

Use it for

Explore genomes directly in the terminal
Collaborate with AI agents on genomic analysis
Browse alignments and genomic data

Alternatives to Tgv

Paper2Agent — It enables direct interaction with research papers and automatic result reproduction.
Biomni — Automates complex wet-lab experimental design with specialized tools and databases.
Liatir App — Runs local analyses offline with managed AI models and scientific viewers.
SemIf OpenJev — Extracts direct token probabilities without generating text or running JSON repair loops.
Vev — Runs locally on NVIDIA hardware with a fast, Jev-compatible API.
Hypoarena — Provides a fully offline environment to test scientific discovery pipeline logic.
ktx — It gives data agents a shared context workspace of approved metrics and git-based files.
DiscoveryRSI — Achieves high actionable-reference rates and supports multi-agent evolutionary research search.
GPT Researcher — Ranked #1 on Carnegie Mellon's DeepResearchGym benchmark for academic research.
FAROS — Connects literature evidence, executable plans, and human review into an auditable research loop.
AskCyph™ Health Explorer — Explores 8,300+ genetic conditions with 133 guided walkthroughs.
Mol 1 — It handles complex biomolecular prediction tasks with customizable JSON inputs.

All Tgv alternatives