Miru (見る) — hybrid code search for agents. Bun, TypeScript, Takara embeddings.

Deep code indexing for AI agents. SQLite FTS5 + tree-sitter + embeddings + MCP.

Extensible MCP server for semantic code search with plugin architecture supporting multiple embedding providers, vector databases, and data sources.

A Claude Code plugin that gives Claude fully automatic, per-project cognitive memory with hybrid search, session lifecycle hooks, and local embeddings.

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

Semantic code search MCP server: Tree-sitter AST chunking + voyage-code-3 embeddings + hybrid retrieval (sqlite-vec + FTS5 + RRF) + Voyage rerank-2.5 + call graph expansion

Build-aware code intelligence MCP server for embedded C/C++ firmware

MCP server for semantic code search and codebase analysis — AST parsing, Tree-sitter, embeddings and vector search for AI assistants and LLMs

MCP memory server for Claude Code — knowledge graph in SQLite, local ONNX embeddings, token-budgeted retrieval

Semantic code search for AI agents and CLI users. CLI + MCP server using local ONNX embeddings — no API keys, no external services.

Local hybrid (vector + BM25) code search for AI coding agents — AST chunking, MiniLM embeddings on ONNX, Go call graph, MCP server. No external services.

Local-first semantic code search for repository annotations via GGUF embeddings and sqlite-vec.

Local-first memory for coding agents: MCP server, single SQLite file, local embeddings

Local-first AI agent memory for coding projects: SQLite context, MCP server, Codex skill, Rust CLI, and optional embeddings.

MCP server for Claude Code session history management with text-embedding-3-large semantic search and Prisma ORM

Long-term memory your AI coding agents actually share. One brain, many agents — standalone embedded MCP server: SQLite + FTS5 + vector hybrid search, local ONNX embeddings, self-expiring diary. No server, container, or daemon.

Local-first semantic code search for AI coding agents. Index projects with Ollama embeddings, store searchable context in SQLite, and retrieve relevant code through a local MCP server.

GPU-accelerated local semantic code index for Claude Code. CUDA-powered embeddings, HNSW vector search, tree-sitter AST chunking, MCP server — sub-3ms queries, fully on your machine.

Local-first MCP server and CLI for AI coding agents. Hybrid semantic + BM25 search across code, docs and notes, with SQLite and offline embeddings.

Serial and SSH terminal for embedded developers that Claude Code and Codex can use (MCP). Windows and Linux.

Persistent memory for AI coding agents — local embeddings, SQLite stores, zero config. Works with OpenCode (as a plugin), Claude Code (as an MCP server), and Cursor (as an MCP server).

Local-first cross-corpus retrieval MCP server — model2vec embeddings + LanceDB (Tantivy BM25) + SQLite. One binary; hybrid (dense + BM25) search across markdown, code, and Claude Code sessions.

Self-hosted code intelligence hub. Uses VoyageAI embeddings for semantic searching code. CLI + server modes, MCP for Claude Desktop, FTS/regex, git history search, and SCIP searches. Automatic inter repository domain mapping. Automatic wiki generation for repos containing .md files and images.

Local-first operating memory for AI coding agents - Claude Code, Codex, and any MCP client. Tracks decisions and their evolution. SQLite + on-device embeddings, no cloud.

Ask questions about any GitHub repo in natural language. Local embedding + ChromaDB + LLM with cited code paths (Anthropic + OpenAI-compatible)

AI-powered documentation RAG system with MCP server for Claude Code. Search and retrieve technical documentation on-demand with vector embeddings and smart web scraping.

Local, private "where did I write that?" search for your notes, built for coding agents: BM25 + local Ollama embeddings, MCP server, disk-verified results.

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.

Persistent cross-session memory for Claude Code and any MCP-compatible client. SQLite + FTS5, optional embeddings (OpenAI/Voyage/local). Survives Opus 4.7's small context window.

Semantic code search MCP server: Tree-sitter AST chunking + voyage-code-3 embeddings + hybrid retrieval (sqlite-vec + FTS5 + RRF) + Voyage rerank-2.5 + call graph expansion. Thin npx wrapper that launches the Python package via uvx.

MCP server that hands coding agents the one Markdown section that answers the question, not the whole file. Local hybrid search: BM25 keywords + ONNX embeddings in SQLite. No API keys, no network.

Semantic search over your own code, documents and git history, for coding agents over MCP. One container on your machine: local embeddings with Ollama, hybrid search with Qdrant, and a web UI.

Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL.

Personal memory for Claude Code and Codex. Save links, notes, and files from inside the agent; find them later by describing what you remember. Local SQLite + embeddings, no API key.

Local MCP server for semantic code search. AST-aware chunking with tree-sitter, offline ONNX embeddings, hybrid vector + BM25 (RRF) ranking, one SQLite file. No API keys or cloud. Semantic code search for Claude Code, Cursor, opencode and AI coding agents.

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

Lightweight code indexing and semantic search engine that helps AI agents write code faster while using fewer tokens. Parses codebases with Tree-sitter AST to generate structured headers, with optional LLM insights and vector embeddings. Integrates via MCP server or CLI. Supports TypeScript, JavaScript, C#

The MCP tool can then be used inside VS Code / MCP-enabled clients to search local internal documentation using natural language. Uses persistent embedding using minilm-l6-v2, supports multi format embedding and semantic retrieval .

MCP server for NexusBridge — a unified AI API brokerage. Access 200+ AI models and 10 service categories (LLM chat, code generation, image generation, embeddings, web search, document parsing, sentiment analysis, translation, summarization, code execution

Serial port MCP server for Claude Code, Codex, Opencode and AI agents. Reliable UART/USB-serial access for embedded development.

🧠 Persistent memory for AI agents. SQLite for agent state. Zero cloud dependencies. Local embeddings. MCP-native integration with Claude Desktop/Code, Cursor, Windsurf & more.

A Visual Studio Code extension that connects to embedded Linux devices over SSH, tails their logs, and displays them with loglevel colorization, filtering presets, custom keywords highlighting and filtered export.

MCP server for semantic code search using AST-aware chunking and vector embeddings

轻量级代码智能 MCP：AST + 增量索引 + 调用图，无 embedding。Lightweight code intelligence MCP: AST, incremental index & call graph.

High-precision code context provider for AI agents. Bridges code_ast parsing with cocoindex-code for semantic chunking and local vector embeddings

MCP server implementation for Obenan API with embedded Python code

Pay-per-call IBM Granite MCP server (chat, code, embeddings, analysis, forecast) paid in USDC on Solana via x402.

Deterministic code map for AI coding agents: a tree-sitter symbol and call graph served over MCP and a CLI, with no embeddings, network or telemetry.

Claude Code plugin and MCP server for LM Studio: server, models and context length, sessions, background tasks, downloads, chat and embeddings. No dependencies.

Claude Desktop extension with semantic code search, grep, file outlines & diffs. Local embeddings, zero API keys, one-click install.

Deterministic code map for AI coding agents: a tree-sitter symbol and call graph served over MCP and a CLI, with no embeddings, network or telemetry.

A code graph an LLM can actually use. Tree-sitter across 6 languages, typed ontology with inferred architectural roles, impact analysis, 9 interactive views, MCP server. No embeddings, no vector DB.

JUJU — local-first MCP server with 74 coding, screen, media, speech, browser, game and workflow tools; embedded OAuth and owner-controlled workspace permissions.

MCP server for semantic code search and codebase analysis — Treesitter parsing, AST extraction, and embedding-based indexing for any LLM that supports MCP

Persistent memory for AI coding agents. Local SQLite + UserPromptSubmit hook — matched beliefs in the prompt before the model sees it. Deterministic, auditable, no embeddings, no cloud.

DODO — local-first MCP server with multi-project coding, AI providers, sub-agents, context, memory, media and workflow tools; embedded OAuth and workspace permissions.

MCP memory server for Claude Code with semantic search. Chroma Cloud storage, ONNX embeddings, path-based routing. One container serves multiple projects with isolated memory spaces. FastMCP + FastAPI.

Self-hosted semantic code search MCP server for Claude Code, Cursor and Codex: tree-sitter AST chunking, symbol graph, git history, local Qdrant + llama.cpp embeddings.

A high-performance local knowledge system for Claude Code via MCP. PostgreSQL + pgvector + ONNX embeddings. Gives your AI assistant persistent memory across sessions.

Namespace-scoped, token-authenticated shared memory for AI coding agents. Self-hosted on Postgres (embedded by default). MCP server, REST API & Python SDK.