Build and run agents you can see, understand and trust.
RAG and retrieval
Retrieval, memory and knowledge-base projects with an optional Jev scoring or filtering step.
121 active projects in this collection. All collections →
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
Desktop AI Assistant powered by GPT-6, GPT-5, Gemini, Claude, Grok, Ollama, DeepSeek, Perplexity, and more - chat, agents, tools, MCP, plugins, RAG, vision, voice, image and video generation, speech synthesis and speech recognition, web search, memory, presets, canvas, assistants, themes, computer use. Windows, Linux, and Mac.
OpenTelemetry Instrumentation for AI Observability
RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex)
Memory for AI agents that learns what is wrong and stops repeating it. Mark a memory wrong and it stops coming back; newer facts replace old ones. Local SQLite store and MCP server, persistent across sessions; hippo init wires it into Claude Code, Codex, Cursor, OpenClaw, OpenCode and Pi. Zero runtime deps, MIT, opt-in hosted TypeSafe Jev reranker.
Get FAR MORE done with FAR FEWER tokens 🔥
Deep research tool for local knowledge base.
RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo ranker
Jev-Mem: System-One Controlled Agentic Memory
Automatic project memory for Claude Code. Also works with Cursor and Codex.
An AI bot with RAG capability for Topics, Chat & Customer Support in Discourse, currently powered by OpenAI
No project description available.
Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5 95.1%, LoCoMo 0.607, BEAM 1M 0.448. 74 MCP tools, 9 IDEs, 100% local.
A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.
A simple semantic cache implementaion. It caches responses from an LLM based on semantic similarity.
Jev-powered relevance filtering and reranking for RAG in Python.
A standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory. works with any IDE supporting MCP servers
The invalidation layer for AI memory. Every fact gets a lease; new evidence ends it. Built on TypeSafe Jev.
Jev-powered conversation memory: find past sessions and revisit decisions with original sources. A macOS workspace for OpenAI Codex. Manage AI conversations and agents, explore code with CodeGraph, and work with Git, Ghostty terminals, and Apple Notes in one app.
Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG
Jev-assisted file retrieval and request caching for faster Pi workflows
Coding-agent memory where every fact is a verbatim quote graded by TypeSafe Jev's calibrated confidence. Local-first, SQLite receipts, zero dependencies.