RAG · Search

Graphify builds a queryable knowledge graph from your whole project so AI assistants can answer architecture questions without grepping raw files.

Ruflo turns Claude Code from a solo assistant into a coordinated swarm with shared memory, plugins, and cross-machine federation.

GBrain gives AI agents a persistent memory, synthesizing cited answers from your notes and wiring a knowledge graph autonomously while you sleep.

It turns your document pile into a persistent, interlinked wiki so the LLM doesn't have to re-read everything every time you ask a question.

WeKnora exists to turn scattered enterprise documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining wiki.

Hindsight is an agent memory system that tries to make AI agents learn from experience rather than just retrieving conversation logs.

MemPalace is a local-first AI memory system that stores conversations verbatim and retrieves them with semantic search backed by published, reproducible benchmarks.

Because stitching together LLM workflows, RAG, agents, and observability by hand is a full-time job.

It exists because AI context windows reset between conversations; Supermemory extracts facts, tracks changes, and recalls them later so agents don't start from scratch every time.

It centralizes model definitions so the same architecture works across PyTorch, JAX, vLLM, and llama.cpp without rewrites.

OpenDataLoader PDF exists to extract structured data from PDFs for AI pipelines while auto-tagging untagged documents for screen readers, all without proprietary dependencies.

Most RAG systems treat PDFs as flat text; RAG-Anything parses them into text, images, tables, and equations so you can query the whole page.

A CLI and library that turns prompt evaluation and red-teaming into repeatable, automatable engineering instead of vibe-based guesswork.

Cognee gives AI agents persistent memory by treating documents as a living knowledge graph rather than a vector dump.

AnythingLLM bundles document chat, AI agents, and multi-user support into one local-first application so you don't have to duct-tape five tools together.

Rowboat exists because most AI assistants start every chat with amnesia, so it builds a persistent, local knowledge graph from your emails and meetings instead.

To wrap every LLM backend, RAG pipeline, and enterprise auth scheme into a single self-hosted interface.

A maintainer cataloged every Chinese NLP repo they touched into a single, obsessively categorized list so others wouldn’t have to hunt.

It exists so you can ask a database questions in English and let an agent write the SQL, run the Python, and generate the report without touching production unsupervised.

An open-source context layer that stops AI agents from guessing what your business data means.