Векторный поиск и RAG

Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend. 82.5% strict accuracy on LoCoMo benchmark. pip install…

Agent-first cognitive substrate with 18 manifest-driven verbs (germinate / eat / assimilate / sporulate / traverse / immune / molt / …) and 25 lint dimensions enforcing contract invariants mechanically (R1–R7). Cross-session / cross-project memory via a self-validating filesystem graph — AST + markdown-link derived…

Cognitive memory for AI agents with Atkinson-Shiffrin memory model (STM/LTM/sensory register), semantic RAG, Ebbinghaus decay, trust scoring, and 76+ MCP tools

Encrypted S3-compatible object storage with continuous cryptographic possession proofs. In-conversation signup (12 GB free), put/get/ls/rm/usage, optional client-side encryption; credentials stay on your machine

Self-hosted MCP server for Obsidian with semantic + full-text search over PostgreSQL/pgvector, wikilink graph traversal, atomic note CRUD, OAuth 2.0, and a self-describing vault guide

octocode - Semantic code indexer with GraphRAG knowledge graph. Index your codebase, search in natural language, and expose everything via MCP so AI agents understand architecture — not just files

Licensed, rights-cleared content for AI agents — discover, purchase, verify, and retrieve expert analysis with a verifiable license key per article, on-chain proof, and EU AI Act Article 53 attestation. The alternative to unlicensed scraping for RAG and AI search

Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. , Free to use

Where to watch any movie or TV show across 30 Asian and Middle Eastern streaming markets (Netflix, Disney+ Hotstar, Wavve, Shahid, Hoichoi, ZEE5, JioCinema, and 17 more)

Rust-powered PDF toolkit: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split, merge, rotate, and reorder pages; add content, annotations, and form fields; and encrypt documents. Ships in the oxidize-pdf PyPI package — run locally with

PDF extraction router with built-in MCP server. Classifies each page (digital, scanned, tables) and routes to the best backend (PyMuPDF, Docling, OCR, or optional LLM fallback). Per-page confidence scoring flags low-quality pages and auto-reextracts them — prevents silent RAG failures. Zero config: . MIT licensed

Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client

24-tool MCP server for Claude Code that catches vague prompts before they waste tokens. Includes 12-category prompt scorecards, session history search with LanceDB vectors, cross-service contract awareness, correction pattern learning, and cost estimation

A MCP built on Qiniu Cloud products, supporting access to Qiniu Cloud Storage, media processing services, etc

MapRag: RAG-focused subregistry + MCP server to discover and route to retrieval-capable MCP servers using structured constraints and explainable ranking

Black-box flight recorder for RAG retrieval inside MCP agents. Logs chunks, scores, sources and rankings so you can audit, replay and diff retrieval runs

Local-first persistent memory for AI coding agents. Hybrid vector + full-text search (LanceDB + Tantivy), separate Markdown and Tree-sitter code indexes, per-project isolated vaults shared across IDEs (Cursor, Zed, Claude Code, Codex), bounded recall with abstain-on-low-confidence

Provides up-to-date documentation context for a specific Rust crate to LLMs via an MCP tool, using semantic search (embeddings) and LLM summarization

Semantic search over 600k+ CS/AI papers with citation-graph traversal, full-text extraction, embeddings, and BibTeX export. Works anonymously or with a free key

Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosystem

Disability insurance brokerage: submit a quote request on a user’s behalf, plus carrier comparison and coverage research tools. By Seaworthy Insurance Agency

Narrative & signal intelligence for AI agents (crypto/AI/macro): cross-source narrative convergence and capital-vs-narrative divergence. Remote MCP server, self-serve keys, fails safe (says "no coverage" rather than hallucinating)

Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, enhancing, and exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant). Supports 16+ target platforms

Adversarial test generation for AI coding sessions. Detects language and framework; writes tests; runs them; classifies failures via R12 (real_bug / environment / test_bug). Ships 8 adversarial scenario categories. Works in Cline directly and in 8+ editors via Cline host coverage. 162 plugin tests. MIT