MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development

Alice is a voice-first desktop AI assistant application built with Vue.js, Vite, and Electron. Advanced memory system, function calling, MCP support, optional fully local use, and more.

Local-first AI agent memory — one command, works offline, no account needed. Give your Claude Code, Cursor, Windsurf, OpenClaw agent persistent memory. Markdown storage, hybrid search (FTS5 + embedding), MCP protocol, Web dashboard.

Cognithor - Agent OS: Local-first autonomous agent operating system. 16 LLM providers, 17 channels, 112+ MCP tools, 5-tier memory, A2A protocol, knowledge vault, voice, browser automation, Computer-use, self-healing, self-improving. Python 3.12+, Apache 2.0.

🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.

Open-source AI development assistant via Model Context Protocol (MCP). Turn Claude or any LLM into your personal coding assistant. Privacy-first with local semantic search, AI-assisted editing, persistent memory, and quality-checked code generation. Built for Python & React. Free alternative to paid AI coding tools.

Semantic memory for AI agents. Local-first, MCP-native.

Local-first AI memory archive. Import ChatGPT, Claude, and Grok exports, generate semantic embeddings, and search via MCP server. Zero cloud, zero cost.

Recallium is a local, self-hosted universal AI memory system providing a persistent knowledge layer for developer tools (Copilot, Cursor, Claude Desktop). It eliminates "AI amnesia" by automatically capturing, clustering, and surfacing decisions and patterns across all projects. It uses the MCP for universal compatibility and ensures privacy

Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.

Local-first context & memory runtime for multi-agent AI coding teams. MCP-free. Rust/Go accelerated.

Local codebase memory, auto-generated wiki, and interactive architecture dashboard for Claude Code and MCP. AST indexing, call graphs, hybrid search, topology analysis. 0 tool calls, 3-8x fewer tokens, everything stays on your machine.

Universal infinite memory layer for Developer AI assistants. One shared brain across Claude, Cursor, Windsurf & more. 100% local, built on MCP standard. Stop re-explaining context

An MCP server that provides persistent memory capabilities through a local knowledge graph, enabling AI assistants to maintain context across sessions with multiple storage backends.

A lightweight, powerful local memory server for AI agents supporting text, entities, and relations. Enables persistent codebase understanding and user preference management.

Privacy-first AI memory layer - Signal for AI Memory. E2EE, local-first, works with Claude, Cursor, and any MCP-compatible AI.

A local MCP memory server backed by plain markdown + JSON files, synced via git. No database. Project-scoped memory with semantic search.

A local-first daemon to unify your AI coding tools. Session tracking and handoffs across Claude Code, Gemini CLI, and Codex. An MCP proxy that discovers tools without flooding context. Task management with dependencies, validation, and TDD expansion. Agent spawning and worktree orchestration. Persistent memory, extensible workflows, and hooks.

One search across all your Claude Code and Gemini CLI memories — every project, every tool. Local-only CLI + MCP server. No cloud, no API keys.

The Sovereign Stack: MCP server binding local AI capabilities with governance protocols. 100% local operation with memory, conscience, and recursive observation.

Palaia — Local, crash-safe memory for AI agents. Semantic vector search (fastembed/OpenAI/Ollama). SQLite + sqlite-vec or PostgreSQL + pgvector. MCP server for Claude Desktop & Cursor. Multi-agent. Auto-capture.

Yorishiro: Extract character souls from films/novels, generate SOUL.md for AI roleplay. Dual-layer memory (SOUL.md + RAG), knowledge boundary filtering, split-persona support, MCP-ready. Works with cloud or local models.

Tessera — Memory layer for every AI. 58 MCP tools, 54 REST endpoints, local-first, AES-256 encrypted.

Persistent semantic memory for AI agents on Raspberry Pi 5 — local Qdrant + MCP, no cloud, ~3s per query

One memory, three terminals. Shared memory layer for Claude Code, Codex, and Gemini CLI — hybrid retrieval (vector + BM25 + KG), session continuity, 40 MCP tools. Local-first, LanceDB-backed.

A local memory MCP server built for Claude Desktop

Local MCP server that gives AI coding agents persistent, searchable memory of your codebase

Have LLMs save memories about you locally on your own hardware

Local JSON memory store for context engineering with GitHub Copilot and MCP clients. Includes CLI, MCP server, and custom VS Code agent.

Semantic Memory for MCP. 100% Local & Private. Store, recall, and forget with vector search via ChromaDB