Self-hosted alternatives to smart-explore
5 self-hosted AI Skills apps to use instead, best rated first.
Top picks
- C

claude-to-deerflow
Launchclaude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code
Self-hosted
- O

open-notebook
Launchopen-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O
Self-hosted
- R

Reactive Resume
LaunchReactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish
Open sourceSelf-hosted
- S

self-hosted-funnel-launch
LaunchSelf-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a
Self-hosted
- G

get-convex/convex-backend
LaunchConvex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca
Self-hosted
About smart-explore

smart-explore
Token-optimized structural code search using tree-sitter AST parsing
smart-explore is a skill from the claude-mem project that replaces full-file reading with structural code search based on tree-sitter AST parsing, which keeps token use low. While the skill is active, it tells the agent to use its smart_search, smart_outline and smart_unfold tools as the primary way to explore code, instead of Read, Grep and Glob. The core principle is to index first and fetch on demand: get a map of the code before loading implementation detail. Before opening any file, the agent asks whether it needs to see all of it or whether a structural overview would do. The three tools work in order. smart_search walks a directory, parses the code files and returns ranked symbols and files in one call, which replaces the usual cycle of globbing, grepping and reading. smart_outline gives the structural skeleton of a single file. smart_unfold returns the full source of one named symbol. The skill notes that it only loads instructions, so the agent must call the MCP tools itself.
- Price
- Free
- Made by
- thedotmack
- Category
- AI Skills
- Website
- github.com/thedotmack/claude-mem/smart-explore