Vector Search

Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.

Graph-backed session memory for LLMs: checkpoint, resume, file analysis, token-savings stats.

Offline codebase knowledge graph: 91% token reduction vs naive RAG, plus cross-session agent memory.

Create, edit and export SVG graphics with Inkscape: measured layout, templates, export.

A CPU performance engineering brain: a vetted reading list, benchmarks and cited source passages

Tamper-evident record of what your AI agent did, plus local-first verifiable memory.

Lineage-gated agent memory tools on Postgres + pgvector, enforced by row-level security.

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

Serves coding agents one canonical doc per query instead of rereading the repo — ~60% fewer tokens.

Agent memory on your own Postgres that flags superseded facts and abstains instead of guessing.

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.