Vector Search

Web scraping + research toolkit for AI agents: scrape, crawl, monitor URLs with anti-bot bypass.

x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.

Self-hosted, Tavily-compatible web search, extract, crawl and map tools for AI agents.

Docs + source RAG for Pipe language: semantic search, cited answers, code symbol lookup.

Semantic search knowledge base with serverless LanceDB. Zero setup, 100% local, 25+ file types

Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.

MCP server for Weaviate: collections, objects, GraphQL search. Works with any instance.

Memory that knows when a remembered fact has been replaced, not just when it was written.

Answer questions from documents too large to fit in context, reading only the sections you need.

PDF-to-Markdown extraction that audits its own output and flags any extractor's silent drops.

Recall locally stored agent memories through an MCP-compatible host.

Fresh, attributed facts from your sources — cached, and invalidated the moment a source changes.

Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.

Deep code indexing for AI agents. FTS5 + embeddings + call graphs + git intelligence. Fully local.

Search 9 public discussion platforms for real opinions. Semantic routing, no API keys required.

Your agent seeks what search can't find. A self-hosted perception MCP server.

Query a verified document collection: passages that answer a question, with their source.

Scoped memory for coding agents: picks the right project, answers in scope, or abstains.

Context selection and compression for AI agents - recall measured, not claimed.

Web search and AI answers with real source citations and a confidence score.