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JevHunt / Collections / RAG and retrieval

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 →

Page 1 of 6 Next →
A

AgentScope

agentscope-ai/agentscope
★ 32,512

Build and run agents you can see, understand and trust.

IntegrationPythonupdated 2026-09-28
Details →GitHub ↗Documented ↗
M

memsearch

zilliztech/memsearch
★ 2,671

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

VerifiedIntegrationPythonupdated 2026-09-24
Details →GitHub ↗Documented ↗
P

PyGPT

szczyglis-dev/py-gpt
★ 1,956

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.

VerifiedIntegrationPythonupdated 2026-09-27
Details →GitHub ↗Documented ↗
O

OpenInference

Arize-ai/openinference
★ 1,239

OpenTelemetry Instrumentation for AI Observability

IntegrationPythonupdated 2026-09-28Check pending
Details →GitHub ↗Documented ↗
R

rag-fusion

Raudaschl/rag-fusion
★ 959

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

VerifiedIntegrationPythonupdated 2026-09-27
Details →GitHub ↗Documented ↗
H

Hermes Jev Skills

kerpopule/hermes-jev-skills
★ 896

Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex)

VerifiedIntegrationPythonupdated 2026-09-23
Details →GitHub ↗Documented ↗
H

hippo-memory

kitfunso/hippo-memory
★ 763

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.

VerifiedIntegrationTypeScriptupdated 2026-09-28
Details →GitHub ↗Documented ↗
D

distill

samuelfaj/distill
★ 692

Get FAR MORE done with FAR FEWER tokens 🔥

IntegrationRustupdated 2026-09-27
Details →GitHub ↗Code reference ↗
D

DeepDoc

Oqura-ai/deepdoc
★ 305

Deep research tool for local knowledge base.

Jev applicationPythonupdated 2026-09-26
Details →GitHub ↗Documented ↗
R

RAGElo

zetaalphavector/RAGElo
★ 133

RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo ranker

VerifiedJev applicationPythonupdated 2026-09-21
Details →GitHub ↗Documented ↗
J

Jev-Mem

libingzheren/Jev-Mem
★ 111

Jev-Mem: System-One Controlled Agentic Memory

Jev applicationPythonupdated 2026-09-28
Details →GitHub ↗Documented ↗
J

jevmem

Avinash-jetwani/jevmem
★ 92

Automatic project memory for Claude Code. Also works with Cursor and Codex.

VerifiedJev applicationTypeScriptupdated 2026-09-28
Details →GitHub ↗Documented ↗
D

discourse-chatbot

merefield/discourse-chatbot
★ 84

An AI bot with RAG capability for Topics, Chat & Customer Support in Discourse, currently powered by OpenAI

VerifiedJev applicationRubyupdated 2026-09-29
Details →GitHub ↗Documented ↗
W

Working-Memory-Jev

AustinAWay/Working-Memory-Jev
★ 77

No project description available.

Jev applicationPythonupdated 2026-09-21
Details →GitHub ↗Documented ↗
T

total-agent-memory

vbcherepanov/total-agent-memory
★ 72

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.

ResearchPythonupdated 2026-09-24Check pending
Details →GitHub ↗Documented ↗
M

milvus-model

milvus-io/milvus-model
★ 61

A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.

VerifiedIntegrationPythonupdated 2026-09-23
Details →GitHub ↗Documented ↗
V

vector-cache

shivendrasoni/vector-cache
★ 42

A simple semantic cache implementaion. It caches responses from an LLM based on semantic similarity.

VerifiedJev applicationPythonupdated 2026-09-27
Details →GitHub ↗Documented ↗
J

jev-reranker

hotchpotch/jev-reranker
★ 34

Jev-powered relevance filtering and reranking for RAG in Python.

VerifiedJev applicationPythonupdated 2026-09-21
Details →GitHub ↗Documented ↗
Z

zerikai_memory

KikeVen/zerikai_memory
★ 33

A standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory. works with any IDE supporting MCP servers

VerifiedJev applicationPythonupdated 2026-09-26
Details →GitHub ↗Documented ↗
I

invalidate

chopratejas/invalidate
★ 21

The invalidation layer for AI memory. Every fact gets a lease; new evidence ends it. Built on TypeSafe Jev.

VerifiedJev applicationPythonupdated 2026-09-21
Details →GitHub ↗Documented ↗
C

Cheshi

CheshiAI/Cheshi
★ 19

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.

VerifiedJev applicationCupdated 2026-09-28
Details →GitHub ↗Documented ↗
J

jev-rag-benchmark

erendikmenn/jev-rag-benchmark
★ 16

Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG

VerifiedResearchPythonupdated 2026-09-20
Details →GitHub ↗Documented ↗
P

pi-jev

madeye/pi-jev
★ 15

Jev-assisted file retrieval and request caching for faster Pi workflows

VerifiedJev applicationTypeScriptupdated 2026-09-21
Details →GitHub ↗Documented ↗
J

jevmory

romiluz13/jevmory
★ 11

Coding-agent memory where every fact is a verbatim quote graded by TypeSafe Jev's calibrated confidence. Local-first, SQLite receipts, zero dependencies.

VerifiedResearchPythonupdated 2026-09-22
Details →GitHub ↗Documented ↗
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