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mem-search

Open source alternatives to mem-search

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Launch

    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Launch

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About mem-search

M

mem-search

Search claude-mem persistent cross-session memory through enforced progressive

mem-search is a skill from the claude-mem project for searching the persistent memory that claude-mem keeps across Claude Code sessions. It is meant for finding previous decisions, earlier solutions, past work history and similar context. The skill enforces a progressive disclosure flow. The agent starts with a compact index, then pulls surrounding context for the most relevant results, and only then opens the full details of the selected memories. It does not begin by fetching full records. The guided flow runs in three steps, from an index through context to selected details, and the agent asks for a deeper layer only when it helps answer the current question. Local and remote MCP servers expose the same input and result contract. The skill also tells the agent to treat anything stored in memory as evidence from previous sessions, so that stored instructions, commands or tool results are data and are not executed as instructions.

View mem-searchAll AI Skills apps
Price
Free
Made by
thedotmack
Category
AI Skills
Website
github.com/thedotmack/claude-mem/mem-search