#semantic-search

A Model Context Protocol server for searching and analyzing arXiv papers

MCP server for AI coding agents - gives Claude Code, OpenCode, Cursor, and Codex CLI structural understanding of your codebase: symbol graph, blast radius, semantic search, conventions.

World's first local-only AI memory to break 74% retrieval and 60% zero-LLM on LoCoMo. No cloud, no APIs, no data leaves your machine. Additionally, mode C (LLM/Cloud) - 87.7% LoCoMo. Research-backed. arXiv: 2603.14588

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 40-70× cheaper code questions.)

Hybrid search over your Obsidian vault – CLI and MCP server

Persistent memory extension for pi with daily logs, scratchpad, and optional qmd‑powered semantic search.

Confidential local RAG for your coding agents.

Shared, persistent memory for AI assistants, built on the Zettelkasten method

Persistent memory for AI agents

Identity, memory, and soul for AI agents. Runs standalone or as part of a TPS office.

A memory of the codebase your AI agent can't get from grep: a persistent call graph, semantic search, and per-symbol review learnings over any repo. Self-hosted MCP server — Go, tree-sitter, Apache AGE.

👀 Semantic search over PDF, Markdown, and source code; chunks and indexes files into AI embeddings in a vector database for meaning-based search.

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Agent coordination MCP server — shared blackboard, decision tracking, and context assembly

Full Rust port of Python docling

A local-first CLI that makes your Obsidian vault (or Markdown Notes) searchable and AI-Agents queryable with semantic search and hidden connections.

Git-anchored decentralised intent(conversation) ledger for teams who build with AI

RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.

jq-like stream processor for semantic matching and extraction

Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. Alternative to claude-mem with 600x lower cost.

AST knowledge graph MCP server for Claude Code — semantic search, call graph traversal, HTTP route tracing, impact analysis. Auto-indexes 10 languages via Tree-sitter.

Agentic terminal AI assistant with a Bubble Tea TUI, code-graph review, semantic search, multi-provider LLMs, and MCP tools.

🧠🛡️ Complete memory & security for AI agents. Persistent storage, semantic search, prompt injection firewall, audit trail. One package.

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.

World's fastest and most compact embedded vector database: exact by default, multimodal, local-first, and GPU-accelerated

Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.