Adaptive memory for AI agents & teams — beyond RAG. Self-hosted MCP server that gets smarter every time you search: hybrid search + a neural memory graph that learns. Works with Claude, ChatGPT & any
Local-first MCP memory server. Indexes Claude Code/Cowork/Telegram chats; any MCP-compatible AI agent (Cursor, Cline, Continue) can search them.
The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human
Source code graph RAG (graphRAG) for Java/Kotlin development based on jQAssistant
Local-first memory for AI agents: one SQLite file, zero deps. Recency-aware exact recall, conflict detection, time-travel journal, MCP server.
Local-first TypeScript MCP server for Qdrant with client isolation, LM Studio integration, and scalable document workflows.
XMemo: user-owned Memory OS for AI agents. Public client (@xmemo/client), MCP distribution, Skills and plugins.
Standalone Node MCP server: semantic search + knowledge graph + vault editing for Obsidian, no plugin required
Local-first, auditable memory for AI agents, with governed retrieval, delegated context delivery, and verifiable execution evidence. Works with OpenClaw, MCP, Pydantic AI, and LangChain/LangGraph. No
Self-hosted, multi-user spaced-repetition (SRS) service: FSRS v6 scheduling, 10 card types, Markdown/TeX, REST API and built-in MCP server. Written in Go.
A multimodal memory MCP server for made that your AI assistant learn from you and itself. DIGIO Alchemai Project
Local-first PDF reader for researchers: notes anchored to the page, AI answers that cite it. Runs offline with Ollama.
Squish gives AI agents calibrated recall confidence (ECE 0.055) and honest abstention — the only memory runtime that tells your agent how much to trust each recollection, and says I don't know when no
MCP server giving AI coding agents offline, token-efficient persistent memory — recall decisions, patterns, and bugs across sessions with 68.5% fewer tokens than re-reading context. No LLM, no server;
Huntable CTI Studio is an AI-assisted cyber threat intelligence workbench that turns open-source CTI into Sigma rules.
Lightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.
Living memory for AI agents with an immune system. Episodes compress into identity. Zero dependencies, works with any client.
Stop re-explaining your project to AI agents every session. One memory layer for Claude Code, Cursor, Windsurf, Antigravity — local, MIT, no signup.
The trust and intelligence layer between AI agents and your database. Read-only by architecture, semantic knowledge graph + audit log, MCP-native.
Code search that lets AI coding agents find the right files in fewer steps. Use the hosted endpoint or self-host, works with Claude Code, Copilot and Cursor via MCP.
Multi-agent memory MCP server in Go to share typed memories across Claude Code, Codex, and more
AI-powered semantic search for Microsoft Dynamics 365 F&O development. Find and understand X++ code through natural language queries via Model Context Protocol (MCP).
CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector) with OpenSearch. Features MCP server, Slack bot, Web UI, multi-source ingestion (
Memory that forgets: a persistent, self-revising belief-state MCP server and Python API for agentic R&D. Uses a hypothesis DAG to auto-prune dead ends and deduce truth without extra probes.
Point a cross-model AI engineering team at your own codebases. The Agent OS keeps named AI maintainers' identity, memory and review across labs alive between sessions — the Brain Neo.mjs runs on itsel
The personal context layer for everything you learn. Drop in any files and stoa builds a maintained, cited wiki + knowledge graph — private by design, yours to share with people and agents you trust.
Fully local AI memory for Apple Silicon. MCP server with semantic vector search, MLX embeddings, and LLM enrichment — no cloud APIs required.
A lightweight MCP server that integrates with Apple Notes to create a personal memory system for AI. Easily recall and save information from your Mac using simple AppleScript commands. Compatible with
PeopleMesh is the AI-powered matching layer for modern organizations. It helps people discover the right colleagues, internal opportunities, communities, and projects through semantic search that unde
Local-first AI agent memory daemon. One command, works offline, no account. Markdown storage, hybrid search (SQLite FTS5 + embeddings), MCP protocol, web dashboard.
Cross-surface persistent memory for AI sessions
Persistent memory for AI agents — OpenClaw plugin + MCP server
Shared, structured memory for AI coding agents — MCP server + CLI. One memory layer for Claude Code, Codex, Cursor & every MCP client.
One memory for all your AI tools. Local, private, and always up to date. Works with Claude, Cursor, Ollama and any MCP app.
Vault-native MCP server for Obsidian: let Codex, Claude Code, Hermes, and other agents read, search, and safely manage your notes.
A desktop search engine for everything you write, read, and keep. Connect your Obsidian vault, projects, Calibre library, and code repos, then find anything with local hybrid search and expose through
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RAG, grafos y memoria de agente a largo plazo. 2,618 servidores, los más usados primero. Cada uno abre la página del publicador.