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Alternatives to algofox

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables candidates to practice technical interview prep directly inside any MCP client by browsing a bundled curriculum, topic details, challenges and a prerequisite skill tree offline, along with mock interviews and next-topic recommendations. Optional token-backed tools add AI code review, progressive hints, concept explanations, readiness scoring and generated practice problems.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables Claude, Cursor, VS Code, and other MCP clients to search 200 graded AI engineering and investment banking interview questions, retrieve model answers, and run scored mock interviews offline or over HTTP.
      4
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables MCP clients to read your own OAHelper Pro account for company OA sets, problem statements, MCQ answer keys, official solutions, and interview experiences, saving everything as offline markdown. It also provides skills for mock OAs, MCQ drills, hint-based coaching, interview briefs, study plans, and spaced revision.
      8
      28 PyPI
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to retrieve hyper-targeted, token-efficient context from a codebase by querying a locally built AST knowledge graph, and to persist cross-session agent memory through 17 MCP tools. All indexing and retrieval run entirely offline, so proprietary code never leaves the machine.
      24 PyPI
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables local, progressive technical coaching inside MCP-compatible AI agents, delivering short targeted lessons calibrated to the user's knowledge after each completed task while storing everything in a local SQLite file.
      1,658 npm
      5
      AGPL 3.0
    • A
      license
      C
      quality
      B
      maintenance
      Enables ordinary LLMs to be augmented fully offline — with no API keys or external services — through model-aware guardrails, exemplar retrieval, structured self-critique, compliance scoring, and an allowlisted verification runner. Also provides hybrid knowledge-base search, decaying long-term memory, and persistent plan/task management across 54 MCP tools usable from any MCP client such as OpenCode, Claude Desktop, Cursor, or VS Code.
      62
      MIT