Havuz

DeepTrace: a fault-tolerant deep research agent that traces every claim to its source. Claim-level faithfulness checks, crash-safe tool call

Evidence-grounded academic research agent with claim verification, prior-work analysis, and persistent research workspaces.

AI-powered English learning assistant for Chinese elderly users, with RAG, ReAct Agent, two-stage retrieval, and 5-dim evaluation framew

Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown

⚡ DocsAgent — give your AI agents instant, private access to your personal knowledge base (Zotero, Obsidian, Apple Notes supported now, loca

The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with

Drop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.

Engineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, m

Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked mark

Agentic Voice Notes for iPhone and macOS - Rust, Dioxus, LanceDB + RIG + SQLite

SparkWork is a local-first desktop Agent workbench for professional development and complex work. Orchestrate workflows, collaborate across

SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.

Lightweight Doc-to-agent-ready knowledge pipeline. Three-stage Bronze→Silver→Gold architecture extracts structured elements, page content, a

Open-source AI-assisted HR onboarding for Feishu/Lark: configurable workflows, document OCR and review, Bitable sync, reminders, and a zero-

Vectorless, Reasoning-Based Retrieval-Augmented Generation (RAG)

基于 Hybrid RAG 与 LangGraph 的本地代码仓库理解工具，支持中英文提问、语义检索、证据引用和多问题拆分

CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically que

Skill to generate the knowledge vault for projects using the Ralph loop

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

Persistent memory and operational continuity for AI coding agents — append-only event ledger (AgentBook), rolling summaries, self-model, bel

道路交通事故的分析报告生成系统

Private, self-hosted document chat for attorneys: parse legal PDFs and query them with local open-source LLMs (Ollama) + verifiable page cit

Smart India Hackathon 2025 repository featuring AI-based solutions including a multimodal offline RAG system and a blockchain-enabled touris

Deterministic agentic-style multi-hop RAG at research-SOTA parity on commodity LLM APIs — no GPU, proof tree per answer.

面向中文食谱问答的端到端 RAG 工程实践，覆盖数据清洗与索引构建、混合检索、多轮状态管理、结构化生成，以及基于真实大模型服务的 Live E2E 测评闭环。

Local-first AI project OS that turns coding models into reliable software agents with memory, sandboxed execution, verification, recovery, G

Offline-first AI memory for coding — 29 MCP tools, temporal knowledge graph, and local vector search. No API keys, no cloud, no server.

Scaffold production-ready AI agent projects in Python (ReAct, RAG, and Multi-Agent Supervisor) with one CLI command

클로드코드 대화의 결정·약속·금지를 자동으로 기억하고, 검색·2D/3D 지식그래프·타임라인으로 보여주는 100% 로컬 기억 도구. 내보내기(6종)·가져오기(미리보기·되돌리기)·백업·복원, 의미검색 중단 알림, MCP 7도구 제공. 기억 데이터는 이 P

Local-first, eval-first memory for long-horizon AI agents — no LLM at ingest. Python SDK + MCP server with source-traceable recall, belief r

M-flow, bilgiyi katmanlı bir graph yapısında düzenleyip RAG sorgularında kanıt bağlantılarını izleyerek ilgili anı veya bilgi paketlerini bulmayı amaçlayan bir memory engine'dir.

Neden yükseliyor · 180 günde 4509 yıldız, projeye belirgin ilgi olduğunu gösteriyor; agent memory ve Graph RAG alanlarına yönelik ilgi bunun olası bağlamı. Ancak son 28 günde commit ve farklı yazar sayısı sıfır, bu nedenle ilginin güncel geliştirme faaliyetine veya sürdürülebilir benimsemeye dönüştüğü söylenemez; yıldız artışının nedeni de verilen ölçümlerden belirlenemiyor.

AI pair programming in your terminal — one static binary, sub-ms startup, any model

Local-first Memory OS for personal AI assistants with L0-L3 memory, Wiki++ knowledge, skill routing, and TokenLess context compression.

LLM agent 的有界自纠错长期记忆层：把连续、含矛盾的项目交互日志蒸馏成有界、可自更新的记忆库。Bounded, self-correcting long-term memory for LLM agents — candidate pool + value dynamic

Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseSt

A quality-gated League of Legends post-game coaching agent built on deterministic match data, RAG, and LLM evaluation.

Turn a production incident into a structured 9-section LLM response (severity, root cause, mitigation, postmortem). Ships with a 5-scenario

Open-source context infrastructure for agents. Sync changes, inspect paths and read current source content through Python, CLI or MCP.

面向"面试官 × 简历主人公"场景的个人简历 RAG 问答 Agent：把简历、证书、荣誉、项目介绍放进知识库，面试官可对简历任意提问（自我介绍、项目深挖、技术八股、HR 素质、简历细节），系统以第一人称自然作答。核心设计是"宽松推理 + 诚实标注"——硬事实（数字/日期/证书名

EchoMemory, konuşmaları cihazda yazıya döküp aranabilir belleğe kaydeden ve bu kayıtlar hakkında yerel bir RAG chatbot ile soru sormayı sağlayan bir uygulamadır.

Neden yükseliyor · 11 günde 68 yıldız ve son 28 günde 16 commit ile erken ilgi ve geliştirme hareketliliği var; ancak yalnızca 2 farklı yazar görülüyor. Yerel AI, gizlilik ve konuşma belleğini tek bir kullanıma hazır uygulamada birleştirmesi ilgi çekici olabilir; yıldız sayısı benimseme veya kalite kanıtı değil.

Companion Space, kişisel materyallerle RAG tabanlı yazılı ve sesli çalışma oturumları sunan, self-hosted anime companion uygulamasıdır.

Neden yükseliyor · 40 günlük bir repoda 363 yıldız görünürlük ve erken ilgiye işaret ediyor; ancak bu ilginin nedenini veya gerçek kullanıcı benimsemesini mevcut verilerle doğrulamak mümkün değil. Son 28 günde 1 commit ve 1 farklı yazar olması, yıldızların sürdürülen geliştirme kanıtı olmadığını gösteriyor.

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a

Open-source research assistant and MCP audit toolkit for systematic reviews: cited research reports, PRISMA tracking, evidence and claim che

🧠 Hybrid long-term memory plugin for OpenClaw agents — SQLite+FTS5 for structured facts, LanceDB for semantic recall

Open-source metasearch backend, MCP server, and AI search API for LLM agents. Python FastAPI search gateway with Google search via SerpBase

Deuz SDK, TypeScript ile model entegrasyonları, agent ve swarm çalıştırma, memory ve retrieval gibi yetenekleri tek framework'te sunuyor.

Neden yükseliyor · 118 günlük yaşına rağmen 697 yıldız ve son 28 günde 126 commit dikkat çekiyor; ancak farklı yazar sayısının 1 olması, bu hareketliliğin tek geliştiriciden geldiğini gösteriyor. Yükselişin özel nedeni mevcut verilerden bilinmiyor.

Build your own LLM-native WIKI (knowledge library). Search, extract, summarize, Q&A with contextual RAG, layered knowledge graph, and reinfo