@remembra-ai
基本情報
Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. Self-hosted. 100% on LoCoMo benchmark. Works with Claude Code, Cursor, VS Code, Windsurf, JetBrains, and more.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"remembra": {
"command": "docker",
"args": [
"compose",
"-f",
"docker-compose.quickstart.yml",
"up",
"-d"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Remembra is a self-hosted persistent memory layer for AI applications that provides entity resolution, temporal decay, graph-aware recall, and hybrid search. It is designed for developers building AI chatbots, agents, and assistants that need to remember facts, decisions, and context across sessions without vendor lock-in.
Install with one command (curl -sSL ... | bash) or via Docker Compose, then use the REST API, Python SDK (pip install remembra), TypeScript SDK (npm install remembra), or MCP server (remembra-mcp) to store and recall memories. Configure the MCP server by adding the remembra MCP tool to Claude, Cursor, or other compatible clients using environment variables like REMEMBRA_URL.
Remembra offers free bi-temporal relationships, entity resolution, built-in PII detection, hybrid search, 6 embedding providers, and an MCP server with 11 tools — features often gated behind paid plans or missing in other solutions. See the full feature comparison table in the README.
Remembra uses Qdrant for vector storage, SQLite for metadata/graph storage, and optionally Ollama for local embedding inference. It can be run via Docker Compose or the quickstart script; no external API keys are needed for local use.
Data is stored locally in your self-hosted instance (Qdrant and SQLite). You control all data; no data is sent to external services unless you configure an external embedding provider.
The MCP server communicates via REST API over HTTP. Authentication is handled through the `REMEMBRA_URL` environment variable; local setups typically run without authentication, but enterprise deployments can integrate security features like audit logging and field encryption.
Yes, Remembra is released under the MIT License, allowing free use, modification, and distribution.
The BetterBugs MCP (Model Context Protocol) enables you to load BetterBugs bug reports (via report links) directly to your preferred AI Agents and developer environments with MCP Client capabilities (such as Cursor, VS C
Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac
Pugi is an AI product team that builds, checks and publishes websites and apps. Its MCP server gives agents a passive website security check graded A+ to F (headers, TLS, cookies, exposed keys in scripts), free with a no
Open-source Next.js + Supabase CMS with a per-site MCP server: scaffold a site, then create pages, posts, navigation, media and SEO from Claude, Cursor or any MCP client. Streamable HTTP with a bearer token you mint in y
SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.
コメント