OPEN LINK ↗
// 45d agoOPENSOURCE RELEASE
FFF makes file search stateful for agents
FFF is a Rust-based file search toolkit built for AI agents and Neovim. Instead of spawning a fresh `rg` or `fzf` process every time, it keeps an index and file cache warm in memory, then layers on fuzzy path search, content grep, frecency ranking, git-aware results, and bindings for Rust, C, Node/Bun, Neovim, and MCP. The pitch is simple: if a tool is going to search the same repository repeatedly, it should behave like a long-lived service, not a disposable command.
// ANALYSIS
Hot take: this is the right shape of tool for agentic coding, because the bottleneck is not raw search speed once, it is repeated search latency across an entire session.
- –Strong fit for AI agents and editors that ask many related questions over the same repo.
- –The built-in memory, background indexing, and warm caches are the real differentiators, not just the fuzzy matcher.
- –Frecency and git-status awareness make the ranking more useful than plain filename matching.
- –It is not the right default for a single terminal grep; `rg` still wins on simplicity and zero setup.
- –The tradeoff is deliberate: more memory and more moving parts in exchange for much faster repeated searches.
// TAGS
file-searchagentneovimrustfuzzy-searchgrepdevtoolopensource
DISCOVERED
45d ago
2026-04-29
PUBLISHED
45d ago
2026-04-29
RELEVANCE
8/ 10
AUTHOR
Syntax