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书内 BOOKNOTE · 多账户教材 RAG 学习助手 —— 回答必引原文:C/W 双引用校验、批注阅读器、长对话自动压缩、可选联网补充(MCP)

MCP-native code retrieval for AI agents — 84-88% fewer read tokens, BM25F + semantic search, AST chunks, session dedup

Persistent memory for Claude Code. Your AI never starts from scratch again.

Skill librarian MCP server — every installed skill costs tokens; the librarian keeps your whole collection out of agent context. Agents ask,

Per-project semantic search over Claude Code session history. Indexes JSONL transcripts into SQLite; retrieves via bge-m3 embeddings (Ollama

Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and pgve

Zero-Mem: Zero-Token Memory Operations for the pi coding agent (faithful reimplementation of arXiv:2607.29377)

Retrieve by relevance, not resemblance: filter an AI assistant's memories with TypeSafe's Jev

Open-source vector database and sub-microsecond key-value store in one Go engine — embed it as a library, run it standalone, or replicate it

Free, open-source AI coding agent & multi-agent teams for macOS — runs 100% on-device via Ollama or LM Studio. Autovisor, an autonomous Supe

Transparent, transport-layer semantic cache for LLM API calls, powered by Redis 8 Vector Sets.

khive is a system of records and operations for agent-native organizations

The ultimate memory backend for OpenClaw and Claude Code. Persistent conversation memory with LLM fact extraction, foundation-model rerankin

Unified multi-layer caching library for AI/agent pipelines — LangChain, LangGraph, AutoGen, CrewAI, Agno, A2A

A hex-native embedded database for Go. Morton keys, native ring scans, seams (contradictions), MVCC, provenance, and optional HNSW embedding

Train linear embedding adapters with triplet loss to align retrieval embeddings with your queries (RAG).

Consumer-aware compression for embedding indexes and LLM KV caches — compress by the metric the downstream consumer actually uses. PCA-Matry

A local-first second brain for scientists, researchers, coders, and nerds.

Personal knowledge graph MCP server on Cloudflare D1 + Vectorize. Deploy your own sovereign second brain in one click — Claude captures atom

A local-first, LLM-agnostic memory layer for AI assistants

An external memory for LLMs: a bi-temporal knowledge graph with hybrid (keyword + vector) retrieval and a self-improving reflection loop. Be

Semantic product search for commerce: find products by meaning, not keywords. A Medusa v2 module backed by pgvector + Gemini embeddings, wit

Durable, local-first memory for AI coding agents over MCP — zero-dependency, curated & semantically de-duped, you own the data (SQLite + Mar

Production-grade Node.js RAG system with hybrid retrieval, pluggable adapters, and OpenTelemetry tracing

Code intelligence engine for AI coding agents. Structural graph queries plus semantic search, exposed via CLI and MCP.

Copper does not rust and is essential for modern infrastructure, written in rust

Türkçe SQL Server 2025 başucu kitabı: kod örnekleri, errata, topluluk soru-cevap · CC BY-NC-SA 4.0 + MIT

Local-first MCP server giving AI coding agents fast, structured, and semantic context over any codebase. Zero config, zero cloud, full conte

Chinese AI learning notes and a minimal RAG demo with Sentence-Transformers, BM25, OpenAI-compatible APIs, and retrieval evaluation.

RAGless is a semantic retrieval system that answers questions about your documentation, without using an LLM at runtime.

Intro to Hyperdimensional Computing (HDC) using a tea dataset

The in-browser vector store that remembers — a Rust→WASM HNSW engine that persists to OPFS and stays consistent across tabs. Private, offlin

Measure whether an embedding upgrade is worth it, bridge it without reindexing when it is, and migrate safely when you are ready.

Local-first crystalline intelligence for AI agents: the knowledge that endures across sessions, taught as Markdown Domains and captured as E

NeuraPHP brings local AI embeddings to PHP - no APIs, no subscriptions, no external services

Supertonic 2/3 embeddings (json) trainer with gradio UI

A reproducible catalog for choosing embedding layouts under quality, memory, and latency constraints

Local semantic search, symbol graphs, secrets scanning, output filters, and CLI hooks that save 60-90% LLM tokens.

Local session transcript memory for Claude Code and Codex — search past sessions with FTS5 + semantic vectors.

chew through any source into clean datasets! a fast ingestion, RAG & fine-tuning toolkit

Local-first, eval-first memory for long-horizon AI agents — no LLM at ingest. Python SDK + MCP server with source-traceable recall, belief r

Shared memory for Claude Code, Codex, and Cursor. Your agent recalls decisions from weeks ago — including what the other engines worked out.

Mapa semántico de las tesis de la UNAM

Deterministic symbolic codes for embedding vectors. Byte-identical across CPUs and languages, content-addressed, diffable and verifiable. C

Pharos — local-first agentic RAG for your team's document library: multi-format ingest, hybrid retrieval, enterprise ACL, dual HTTP + MCP ex

🧠 Hybrid long-term memory plugin for OpenClaw agents — SQLite+FTS5 for structured facts, LanceDB for semantic recall

Local and cloud GPU interference model orchestrator exposing OpenAI-compatible API from different engines

An open-source, local-first CV & resume management platform featuring privacy-focused semantic search to instantly match your skills, projec

memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

Local-first RAG MCP server in Python: hybrid search (semantic + BM25 keyword boost) over your own documents. 11 MCP tools + CLI, markitdown