Ross ROSS = Recommend OSS · open-source software intelligence for agents

jito-labs/mev-bot

None observed · 2026-08-28

github.com/jito-labs/mev-bot · TypeScript · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

39/100

  • Activity 18
  • Release rhythm 35
  • Longevity 91

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1280
  • days_rel: n/a
  • days_push: 495
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1198 stars · 381 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A TypeScript bot that performs backrun arbitrage on Solana by monitoring the Jito mempool for large trades and executing circular arbitrage bundles across DEXs like Raydium and Orca. It is explicitly no longer maintained and not intended for production MEV use.

Use cases

  • backrun large trades on solana dexes for arbitrage profit
  • monitor solana mempool for pending transactions
  • execute circular arbitrage across raydium and orca pools
  • submit transaction bundles via jito
  • learn how mev backrunning works on solana

When to choose

  • you want a reference implementation of solana backrun arbitrage
  • you are studying MEV strategies on solana with jito bundles

When to avoid

  • you need production-ready MEV infrastructure
  • you want actively maintained software
  • you need guaranteed profitability or support

Facets

application · maturity abandoned

trading workflow-automation web-scraping fintech blockchain cli solana mev arbitrage backrunning defi jito mempool dex cryptocurrency nodejs

1 source

Member repositories

RepositoryRoleHealth v2
jito-labs/mev-botmain39

For agents

markdown · JSON · MCP: product_card(name="jito-labs/mev-bot")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem