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  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides fully local, privacy-preserving semantic search over file names and paths via MCP, using BGE embeddings for fuzzy matching and supporting incremental updates, watch mode, and a loopback-only HTTP server.
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates
    3
    10
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    MCP server that keeps language server sessions warm and routes multiple languages through one process. Agents get persistent cross-file awareness, speculative execution (simulate edits before writing to disk), and 20 skills that encode correct multi-step operations like safe rename, blast-radius analysis, and end-to-end refactoring. Single Go binary, no runtime dependencies.
    50
    125
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.
    11
    24
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables ChatGPT on Windows to securely access codebases, Git, terminals, language servers, debuggers, SQLite, local HTTP services, adaptive project memory, engineering skills, checkpoints, audit logs, and sandboxed command execution through MCP tools.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    MCP server that provides web search via LLM API gateways with server-side search, returning cited answers and multi-provider fallback.
    -
  • A
    license
    A
    quality
    B
    maintenance
    Provides persistent, searchable memory across AI coding agent and chat history (Claude Code, Codex, Gemini CLI, ChatGPT, and more) via retrieval-augmented generation, enabling semantic and hybrid search to retain context across sessions.
    5
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    A memory, docs, and repo context layer for engineering agents, providing typed persistent memory, RAG document retrieval, and repository-aware tools to recall decisions, runbooks, and operational knowledge across sessions.
    42
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables agents to capture task-scoped residue evidence during test and build workflows, exposing files, directories, processes, and ports for user-authorized cleanup and post-cleanup verification without deleting or modifying anything itself.
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.
    24
    284
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP-native agent-to-agent messaging hub for AI swarms. Agents communicate via channels and DMs through MCP protocol — zero SDKs needed. Includes web UI, semantic search, analytics dashboard. Single Go binary, local-first.
    2
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables governed multi-agent software factory operations through eight typed, audited tools for Sprint planning, submission, decisions, inspection, cancellation, and resumption.
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Gru-sandbox(gbox) is an open source project that provides a self-hostable sandbox for MCP integration or other AI agent usecases.
    180
    Apache 2.0