RAG · Search

It replaces flat vector dumps with a four-tier semantic pyramid and Mermaid symbol graphs so agents remember workflows without drowning in their own tool logs.

A Python layer that makes AI agents explain themselves through structured context graphs, decision trails, and W3C-compliant provenance.

Memora is an MCP server that stores agent outputs in a durable, semantically searchable knowledge graph so AI assistants can recall context across sessions.

A privacy-first Android fork that runs LLMs, image generation, and speech AI entirely offline, then locks itself behind your fingerprint.

A Dart SDK that lets Flutter apps upload video and search inside it by meaning, speech, or imagery—without imposing any UI.

A Rust search engine that auto-indexes folders so AI agents can query code and documents without stuffing their context windows.

TurboOCR exists because waiting for a vision-language model to read a receipt is a waste of GPU time.

It exists because builders wanted a Claude Cowork-style agent that keeps work context local, encrypted, and auditable instead of shipping memory to someone else’s server.

SoloMD is a local-first markdown editor that bundles an MCP server so Claude, Cursor, or Codex can read and write your vault—while forcing every agent edit onto a branch you accept or reject.

Vector search shouldn't force you to choose between PostgreSQL and DuckDB.

Arkon is a self-hosted knowledge hub that doesn't just chunk documents—it compiles them into a reviewed, versioned wiki and serves it to Claude through MCP.

Datus is an open-source agent that keeps LLMs from hallucinating SQL by building a living, learning knowledge base around your data stack.

SIE replaces the usual tangle of separate embedding, reranking, and extraction servers with a single open-source container that scales from a laptop to Kubernetes.

FalkorDB is a Redis module that uses sparse-matrix linear algebra to query property graphs fast enough for LLM retrieval workloads.

Rocketnotes pairs a hierarchical note editor with an AI agent that reads your scattered snippets and archives them where they belong.

It turns your multi-language codebase into a Memgraph knowledge graph you can query in English—and then edit with surgical precision.

Gortex indexes your code into a queryable knowledge graph so AI agents can ask for exactly the context they need instead of wasting tokens on full-file reads.

Macro exists because context dies when your email, chat, docs, and tasks live in separate apps, so it links them into one queryable workspace with shared AI memory.

It turns unstructured text into an interactive knowledge graph by chunking documents, extracting Subject-Predicate-Object triplets with an LLM, and stitching the results together across chunks.

wigolo gives AI coding agents a local, keyless web research layer that runs entirely on your machine and bills nothing per query.