{"data":{"slug":"zilliztech-memsearch","name":"memsearch","tagline":"A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.","github_url":"https://github.com/zilliztech/memsearch","owner":"zilliztech","repo":"memsearch","owner_avatar_url":"https://avatars.githubusercontent.com/u/18416694?v=4","primary_language":"Python","stars":2627,"forks":253,"topics":["agent","agent-memory","ai-agents","claude-code","claude-code-plugin","codex","deepseek","deepseek-harness","dsh","dsh-plugin","embeddings","hybrid-search","long-term-memory","memory","milvus","openclaw","opencode","rag","semantic-search","skills"],"archived":false,"github_pushed_at":"2026-09-20T02:36:49+00:00","maintenance_label":"Very active","stars_delta_30d":291,"url":"https://www.graphcanon.com/tools/zilliztech-memsearch","markdown_url":"https://www.graphcanon.com/tools/zilliztech-memsearch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zilliztech-memsearch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zilliztech-memsearch","description":"A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.","homepage_url":"https://zilliztech.github.io/memsearch/","license":"MIT","open_issues":254,"watchers":10,"ai_summary":"memsearch provides a robust memory storage solution designed to integrate with various AI agents. It combines both traditional text-based memory storage (Markdown) and vector database capabilities (Milvus), offering enriched search functionalities critical for maintaining long-term记忆存储解决方案，旨在与各种AI代理集成。它结合了传统的基于文本的记忆存储（Markdown）和矢量数据库功能（Milvus），提供了增强的搜索功能，对于维护长期记忆和语义检索至关重要。","readme_excerpt":"# Install\n/plugin marketplace add zilliztech/memsearch\n/plugin install memsearch\n\n---\n\n# Install\ngit clone --depth 1 https://github.com/zilliztech/memsearch.git\nbash memsearch/plugins/codex/scripts/install.sh\ncodex --yolo  # needed for ONNX model network access\n```\n\nAfter installing, chat as usual. Hooks capture and summarize each turn.\n\n**Verify it's working:**\n\n```bash\nls .memsearch/memory/\n```\n\n**Recall memories** — use the skill:\n\n```\n$memory-recall what did we discuss about deployment?\n```\n\n> 📖 [Codex Plugin docs](https://zilliztech.github.io/memsearch/platforms/codex/)\n\n</details>\n\n<details open>\n<summary><h3>For DeepSeek Harness Users</h3></summary>\n\n```bash\n\n---\n\n# Install the published plugin into your DSH profile\nuv tool install \"memsearch[onnx]\"\ndsh plugin --profile web add @zilliz/memsearch-dsh\n\n---\n\n# Install from ClawHub\nopenclaw plugins install --force clawhub:memsearch\nopenclaw config set plugins.entries.memsearch.hooks.allowConversationAccess true\nopenclaw config set plugins.entries.memsearch.hooks.allowPromptInjection true\nopenclaw gateway restart\n```\n\nAfter installing, chat in TUI as usual. The plugin captures each turn automatically.\n\n**Verify it's working** — memory files are stored in your agent's workspace:\n\n```bash\n\n---\n\n# Install as a global CLI tool — recommended when you mainly use the\n\n---\n\n# Install as a project dependency — use this if you want to import","github_created_at":"2026-02-09T02:29:16+00:00","created_at":"2026-07-11T11:29:29.871887+00:00","updated_at":"2026-09-20T06:11:51.298661+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"agent-memory","name":"agent-memory"},{"slug":"long-term-memory","name":"long-term-memory"},{"slug":"milvus","name":"milvus"},{"slug":"semantic-search","name":"semantic-search"}],"trust":{"provenance":{"is_fork":false,"github_id":1153190876,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T06:11:48.462Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":10,"days_since_push":0,"last_release_at":"2026-09-12T07:19:08Z","stars_delta_30d":291,"open_issues_delta_30d":23},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:29:31.336Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T06:11:49.729Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-20T06:11:49.729Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-20T06:11:49.729Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-20T06:11:49.729Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need robust integration with AI agents like Claude Code or Codex","For projects that require efficient vector searches alongside traditional text storage"],"when_not_to_use":["If your application doesn't require integration with specific AI agents like Claude Code","In cases where only simple text data storage without semantic search is needed"],"source":"enrich:decision_facts","observed_at":"2026-07-12T11:59:47.546Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage."}]}}