Knowledge & Integration91 / 305 projects
Knowledge integration category featuring the hottest AI knowledge base and tool integration projects on GitHub.
Universal memory layer for AI Agents
The best-benchmarked open-source AI memory system. And it's free.
#1 Persistent memory for AI coding agents based on real-world benchmarks
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Personal memory across agents
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Memory library for building stateful agents
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
Agent Skills as a Memory Layer
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
User Profile-Based Long-Term Memory for AI Chatbot Applications.
The Open Source Memory Layer For Autonomous Agents
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
Memory that AI Agents Love!
Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.
一套为研究生和学术研究者设计的完整AI Prompt库 📖 包含内容: ✨ 40+ 精心设计的AI Prompt ✨ 论文选题系统方法(生成、评估、论证) ✨ 论文查找快速方案(8个不同方案) ✨ 文献综述框架和工具 ✨ Excel自动评估表格 ✨ 3个完整的论证模板 🚀 核心优势: ⚡ 节省时间 50-70%(选题3-5天而不是2-3周) 🎯 科学方法(基于系统的5维度评估体系) 💡 即插即用(所有Prompt直接复制可用) 📚 全流程覆盖(从选题到出版的完整方案) 🎓 适用人群: 👨🎓 硕士研究生 | 博士研究生 | 本科毕业设计 | 学术研究者 | 内容创作者
Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !
Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding and SOTA performance.
PowerMem: AI Memory Plugin— Accurate, Agile, Affordable. Make AI Agent smarter.
Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.
Karpathy’s LLM Wiki, 100% local with Ollama. Drop Markdown notes → AI extracts concepts → your Obsidian wiki auto-links and grows. Zero sharing. Your notes stay yours.
Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.
OpenMemory Chrome Extension: Long-term memory for ChatGPT, Claude, Perplexity, Grok etc
Cross-agent persistent memory for coding assistants. Stored compressed. Retrieved fast. Local by default.
Markdown filesystem for agents and teams.
Automatic memory consolidation for OpenClaw agents — like sleep for your AI. Powered by MyClaw.ai
Your Local Artificial Memory on your Device.
Openclaw记忆插件Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
Turn GitHub into a bookmark manager
TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.
Give your AI agents persistent memory.
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with Claude Code, OpenClaw, and any CLI agent.
Persistent memory for LLMs and apps. Content-addressed storage with dedupe, compression, full-text and vector search.
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP tools, 20 format parsers. Zero external servers, zero API keys.
Xmem is a India's First open source multi-modal, multi-agentic long‑term memory layer for AI agents.
Personality distillation engine: distill yourself to see yourself clearly, distill friends and family to preserve warmth and echoes. Claude Code Skill.
A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.
Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.
A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in one searchable, browsable, file-like interface.
Cognitive Memory OS for AI Agents — persistent, self-improving, multi-agent memory
🧸 给AI加长期记忆的轻量网关 / A lightweight gateway that adds long-term memory to any LLM
Hybrid memory system for OpenClaw using Graphiti temporal knowledge graph
A memory layer for Claude Code that learns as you work. Persistent, per-context memory as plain markdown in your own git repo. No server, no telemetry.
Local personal memory for LLM agents
Turn your team's AI coding sessions, GitHub code, and docs into one shared, searchable memory — a self-hosted git truth store you query right from your editor over MCP.
Zero-cost, beginner-friendly local Markdown knowledge base for AI agents. Capture sources, preserve evidence and images, synthesize wiki pages, search, lint, and view an on-demand graph.
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.
Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.
Modular Context | Karpathy LLM Knowledge Base + Gmail & G-Cal — multi-account MCP server for Claude Code, encrypted local-first
🧬 让 AI Agent 像人脑一样学习成长 | Memory that learns, forgets, and evolves
An agent skill to evolve the quality of LLM-Wiki (Graphify) at test time.
Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory
A browser extension to monitor system status like CPU and memory
Andrej Karpathy's LLM Wiki pattern as a skill & Claude Code plugin — turn accumulated sources into a self-maintaining, scalable markdown knowledge base.
The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.
YantrikDB memory provider for NousResearch/hermes-agent — self-maintaining memory with benchmarked recall, self-tuning ranking, contradiction tracking, proactive hygiene, and explainable recall.
Claude skill & plugin: turn Claude (or any LLM) into an MBB-grade management consultant. Case-interview coaching, strategy frameworks, market sizing, board-ready problem-solving. 129 reference modules. Free & open-source.
ИИкона — AI-коннектор для 1С:Предприятие 8.3: LLM-провайдеры, агентская петля (function calling), RAG, MCP-сервер, мониторинг ошибок с ИИ-анализом, генератор диаграмм
Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge galaxies.
AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.
Open-source local-first cognitive memory. AGM-compliant belief revision (49/49 postulates). When a fact changes, downstream beliefs are automatically re-evaluated, not just flagged.
Plain-Markdown persistent memory for AI coding agents. Long-term facts, daily logs, scratchpad, and semantic search — works with pi, Claude Code, and any LLM agent.
Synapse — Temporal knowledge graph memory for AI agents. Self-hosted FalkorDB + Graphiti with hippocampus-layer memory management.
Persistent, inspectable memory that grows and refines over time. Built on files. Owned by you.
Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.
Skill to generate the knowledge vault for projects using the Ralph loop
a1facts - the precision layer for AI agents
Universal memory runtime for AI agents
MCP client for AutoMem — give Claude, Cursor, Codex, and other MCP tools durable graph+vector memory across conversations.
Biologically-inspired persistent memory engine for Claude Code. 26 cognitive subsystems, Hopfield networks, predictive coding, causal discovery, successor representations, all running locally over SQLite.
Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offline storage. One Python file, zero dependencies.
Most AI agents forget you the moment the tab closes. Constellation Engine gives them a hippocampus — a living star map with spreading activation, Hebbian writeback, episodic recall, and post-turn consolidation. Local-first, model-agnostic, AGPL.
Local memory infrastructure for AI agents. Store knowledge and skills in isolated vaults you compose, control and query.
A Multi Agent Memory MCP That Connect Agents Across Systems and Machines
Turn every AI agent session into company intelligence. Nex silently unifies every AI agent conversation with your email, Slack, CRM, and 100+ tools into one knowledge graph. The more your team works, the smarter every agent gets.
Persistent memory for AI agents - Learn, remember, improve. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.
Claude Skills for connecting Claude.ai to local Weaviate vector databases - manage collections, ingest data, and query with RAG
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.
Your AI forgets everything between sessions. This fixes that — 98%+ retrieval accuracy, 100% on LongMemEval, 99% token savings. 44 MCP tools. Fully local, zero cost.
Source: GitHub API · Curated · Realtime