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  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables hybrid document search (BM25 and dense) over a configurable corpus via MCP tools, returning passages and sources for AI agents to cite in answers.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables semantic search and grounded answering over customer-research interviews, with every answer traceable to source quotes.
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.
    1
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI assistants to query and analyze past Claude Code sessions, providing structured insights like file changes, decisions, errors, and git history across projects.
    11
    9 npm
    1
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Enables users to create and refine a research outline, queue report generation in the background, and retrieve progress or completed Markdown reports, with automatic checkpointing so unfinished work can resume after a restart.
    4
    -
  • A
    license
    B
    quality
    B
    maintenance
    Enables AI tools to access local crypto market data, run analyses, perform 66-item deep research, search RAG context, and retrieve generated reports and prompts via MCP.
    10
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
    129 PyPI
    35
    MIT