{"data":{"node":{"slug":"activeloopai-deeplake","name":"deeplake","tagline":"AI Data Runtime for Agents with scalable retrieval and training features","github_url":"https://github.com/activeloopai/deeplake","owner":"activeloopai","repo":"deeplake","owner_avatar_url":"https://avatars.githubusercontent.com/u/34816118?v=4","primary_language":"C++","stars":9224,"forks":721,"topics":["agent","agentic-rag","ai","clawbot","computer-vision","datalake","deep-learning","filesystem","large-language-models","llm","memory","mlops","multimodal","openclaw","postgres","pytorch","rag","skill","vector-database"],"archived":false,"github_pushed_at":"2026-05-21T15:28:00+00:00","maintenance_label":"Steady","stars_delta_30d":16,"url":"https://www.graphcanon.com/tools/activeloopai-deeplake","markdown_url":"https://www.graphcanon.com/tools/activeloopai-deeplake.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/activeloopai-deeplake","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=activeloopai-deeplake"},"categories":[{"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":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"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","name":"agent"},{"slug":"agentic-rag","name":"agentic-rag"},{"slug":"ai","name":"ai"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm","name":"llm"},{"slug":"multimodal","name":"multimodal"},{"slug":"pytorch","name":"pytorch"}],"edges":[{"type":"alternative","direction":"out","explanation":"Deeplake and Qdrant both provide scalable vector database capabilities for AI applications, though Deeplake extends this with support for multimodal data lakes.","successor_context":null,"tool":{"slug":"qdrant-qdrant","name":"qdrant","tagline":"High-performance, massive-scale Vector Database and Vector Search Engine","github_url":"https://github.com/qdrant/qdrant","owner":"qdrant","repo":"qdrant","owner_avatar_url":"https://avatars.githubusercontent.com/u/73504361?v=4","primary_language":"Rust","stars":33629,"forks":2529,"topics":["ai-search","ai-search-engine","embeddings-similarity","hnsw","hybrid-search","image-search","knn-algorithm","machine-learning","mlops","nearest-neighbor-search","neural-network","neural-search","recommender-system","search","search-engine","search-engines","similarity-search","vector-database","vector-search","vector-search-engine"],"archived":false,"github_pushed_at":"2026-07-28T17:03:13+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/qdrant-qdrant","markdown_url":"https://www.graphcanon.com/tools/qdrant-qdrant.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/qdrant-qdrant","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=qdrant-qdrant"}},{"type":"integrates_with","direction":"out","explanation":"Deeplake as an AI Data Runtime may integrate with MindsDB for delegating tasks and automating operations, providing a comprehensive AI data management solution.","successor_context":null,"tool":{"slug":"mindsdb-minds","name":"mindshub","tagline":"Get real work done with AI. Easily swap models while keeping your builds intact.","github_url":"https://github.com/mindsdb/mindshub","owner":"mindsdb","repo":"mindshub","owner_avatar_url":"https://avatars.githubusercontent.com/u/31035808?v=4","primary_language":"Makefile","stars":39496,"forks":6224,"topics":["agents","ai","anton","artificial-inteligence","claude","claude-cowork","codex","cowork","deepseek","glm","hermes","hermes-agent","kimi","mcp","mindsdb"],"archived":false,"github_pushed_at":"2026-07-10T16:53:47+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/mindsdb-minds","markdown_url":"https://www.graphcanon.com/tools/mindsdb-minds.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mindsdb-minds","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mindsdb-minds"}},{"type":"alternative","direction":"out","explanation":"Both Deeplake and mempalace provide components for managing AI agent memory, with Deeplake focused on a serverless PostgreSQL and multimodal data lake approach compared to mempalace’s broader benchmarked open-source angle.","successor_context":null,"tool":{"slug":"mempalace-mempalace","name":"mempalace","tagline":"The best-benchmarked open-source AI memory system.","github_url":"https://github.com/MemPalace/mempalace","owner":"MemPalace","repo":"mempalace","owner_avatar_url":"https://avatars.githubusercontent.com/u/275135684?v=4","primary_language":"Python","stars":58400,"forks":7498,"topics":["ai","chromadb","llm","mcp","memory","python"],"archived":false,"github_pushed_at":"2026-08-15T01:20:08+00:00","maintenance_label":"Very active","stars_delta_30d":1001,"url":"https://www.graphcanon.com/tools/mempalace-mempalace","markdown_url":"https://www.graphcanon.com/tools/mempalace-mempalace.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mempalace-mempalace","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mempalace-mempalace"}},{"type":"integrates_with","direction":"out","explanation":"Deeplake, a scalable AI data runtime that supports multimodal datasets and integrates seamlessly with AI agents, has an 'integrates with' relationship to Langflow because Langflow provides a platform for building and deploying AI workflows that can leverage Deeplake's data retrieval and training capabilities through its API/MCP server features.","successor_context":null,"tool":{"slug":"langflow-ai-langflow","name":"langflow","tagline":"Tool for building and deploying AI-powered agents and workflows","github_url":"https://github.com/langflow-ai/langflow","owner":"langflow-ai","repo":"langflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/85702467?v=4","primary_language":"Python","stars":152744,"forks":9747,"topics":["agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow"],"archived":false,"github_pushed_at":"2026-08-02T00:44:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/langflow-ai-langflow","markdown_url":"https://www.graphcanon.com/tools/langflow-ai-langflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langflow-ai-langflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langflow-ai-langflow"}},{"type":"alternative","direction":"out","explanation":"Deeplake and Databend both aim to provide scalable data management solutions, though Deeplake focuses on a multimodal datalake with support for AI agents, while Databend is more oriented towards enterprise data warehousing.","successor_context":null,"tool":{"slug":"databendlabs-databend","name":"databend","tagline":"All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.","github_url":"https://github.com/databendlabs/databend","owner":"databendlabs","repo":"databend","owner_avatar_url":"https://avatars.githubusercontent.com/u/80994548?v=4","primary_language":"Rust","stars":9420,"forks":891,"topics":["ai","bigdata","cloud-native","database","elasticsearch","geospatial","lakehouse","olap","rust","serverless","snowflake","sql","vector-database","vector-search"],"archived":false,"github_pushed_at":"2026-08-21T05:00:06+00:00","maintenance_label":"Very active","stars_delta_30d":31,"url":"https://www.graphcanon.com/tools/databendlabs-databend","markdown_url":"https://www.graphcanon.com/tools/databendlabs-databend.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/databendlabs-databend","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=databendlabs-databend"}},{"type":"alternative","direction":"out","explanation":"Deeplake and Milvus both serve as vector databases, though Deeplake adds an emphasis on being a multimodal data lake, while Milvus focuses more narrowly on large-scale vector search.","successor_context":null,"tool":{"slug":"milvus-io-milvus","name":"milvus","tagline":"High-performance cloud-native vector database","github_url":"https://github.com/milvus-io/milvus","owner":"milvus-io","repo":"milvus","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Go","stars":45402,"forks":4147,"topics":["anns","cloud-native","diskann","distributed","embedding-database","embedding-similarity","embedding-store","faiss","golang","hnsw","image-search","llm","nearest-neighbor-search","rag","vector-database","vector-search","vector-similarity","vector-store"],"archived":false,"github_pushed_at":"2026-07-28T17:42:13+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/milvus-io-milvus","markdown_url":"https://www.graphcanon.com/tools/milvus-io-milvus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-milvus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-milvus"}}],"neighbours":[{"slug":"pathwaycom-llm-app","name":"llm-app","tagline":"Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.","github_url":"https://github.com/pathwaycom/llm-app","owner":"pathwaycom","repo":"llm-app","owner_avatar_url":"https://avatars.githubusercontent.com/u/25750857?v=4","primary_language":"Jupyter Notebook","stars":59037,"forks":1466,"topics":["chatbot","hugging-face","llm","llm-local","llm-prompting","llm-security","llmops","machine-learning","open-ai","pathway","rag","real-time","retrieval-augmented-generation","vector-database","vector-index"],"archived":false,"github_pushed_at":"2026-07-05T17:59:07+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/pathwaycom-llm-app","markdown_url":"https://www.graphcanon.com/tools/pathwaycom-llm-app.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pathwaycom-llm-app","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pathwaycom-llm-app","shared_categories":["vector-databases","data-retrieval"]},{"slug":"mlflow-mlflow","name":"mlflow","tagline":"AI engineering platform for debugging, evaluating, monitoring, and optimizing AI applications","github_url":"https://github.com/mlflow/mlflow","owner":"mlflow","repo":"mlflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/39938107?v=4","primary_language":"Python","stars":27591,"forks":6189,"topics":["agentops","agents","ai","ai-governance","apache-spark","evaluation","langchain","llm-evaluation","llmops","machine-learning","ml","mlflow","mlops","model-management","observability","open-source","openai","prompt-engineering"],"archived":false,"github_pushed_at":"2026-08-20T00:54:28+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/mlflow-mlflow","markdown_url":"https://www.graphcanon.com/tools/mlflow-mlflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mlflow-mlflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mlflow-mlflow","shared_categories":["model-training"]},{"slug":"sinaptik-ai-pandas-ai","name":"pandas-ai","tagline":"Chat with your database or your datalake using LLMs and RAG.","github_url":"https://github.com/sinaptik-ai/pandas-ai","owner":"sinaptik-ai","repo":"pandas-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/154438448?v=4","primary_language":"Python","stars":23746,"forks":2342,"topics":["ai","csv","data","data-analysis","data-science","data-visualization","database","datalake","gpt-4","llm","pandas","sql","text-to-sql"],"archived":false,"github_pushed_at":"2025-10-28T10:02:13+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/sinaptik-ai-pandas-ai","markdown_url":"https://www.graphcanon.com/tools/sinaptik-ai-pandas-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/sinaptik-ai-pandas-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=sinaptik-ai-pandas-ai","shared_categories":["data-retrieval"]},{"slug":"raga-ai-hub-ragaai-catalyst","name":"RagaAI-Catalyst","tagline":"Python SDK for AI agent observability and evaluation","github_url":"https://github.com/raga-ai-hub/RagaAI-Catalyst","owner":"raga-ai-hub","repo":"RagaAI-Catalyst","owner_avatar_url":"https://avatars.githubusercontent.com/u/161833182?v=4","primary_language":"Python","stars":16148,"forks":3565,"topics":["agentic-ai","agentic-ai-development","agentneo","agents","ai-agent-monitoring","ai-application-debugging","ai-evaluation-tools","ai-performance-optimization","ai-tool-interaction-monitoring","llm-testing","llm-tracing","llmops"],"archived":false,"github_pushed_at":"2026-02-11T14:43:33+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst","markdown_url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/raga-ai-hub-ragaai-catalyst","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=raga-ai-hub-ragaai-catalyst","shared_categories":[]},{"slug":"n8n-io-self-hosted-ai-starter-kit","name":"self-hosted-ai-starter-kit","tagline":"Self-hosted AI Starter Kit template for local AI workflows","github_url":"https://github.com/n8n-io/self-hosted-ai-starter-kit","owner":"n8n-io","repo":"self-hosted-ai-starter-kit","owner_avatar_url":"https://avatars.githubusercontent.com/u/45487711?v=4","primary_language":null,"stars":15190,"forks":3807,"topics":["ai","ai-agents","low-code","self-hosted","starter-kit"],"archived":false,"github_pushed_at":"2026-07-23T11:28:09+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/n8n-io-self-hosted-ai-starter-kit","markdown_url":"https://www.graphcanon.com/tools/n8n-io-self-hosted-ai-starter-kit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/n8n-io-self-hosted-ai-starter-kit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=n8n-io-self-hosted-ai-starter-kit","shared_categories":[]},{"slug":"databendlabs-databend","name":"databend","tagline":"All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.","github_url":"https://github.com/databendlabs/databend","owner":"databendlabs","repo":"databend","owner_avatar_url":"https://avatars.githubusercontent.com/u/80994548?v=4","primary_language":"Rust","stars":9420,"forks":891,"topics":["ai","bigdata","cloud-native","database","elasticsearch","geospatial","lakehouse","olap","rust","serverless","snowflake","sql","vector-database","vector-search"],"archived":false,"github_pushed_at":"2026-08-21T05:00:06+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/databendlabs-databend","markdown_url":"https://www.graphcanon.com/tools/databendlabs-databend.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/databendlabs-databend","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=databendlabs-databend","shared_categories":["vector-databases","data-retrieval"]},{"slug":"lance-format-lance","name":"lance","tagline":"Open Lakehouse Format for Multimodal AI","github_url":"https://github.com/lance-format/lance","owner":"lance-format","repo":"lance","owner_avatar_url":"https://avatars.githubusercontent.com/u/243204601?v=4","primary_language":"Rust","stars":6900,"forks":789,"topics":["apache-arrow","computer-vision","data-analysis","data-analytics","data-centric","data-format","data-science","dataops","deep-learning","duckdb","embeddings","llms","machine-learning","mlops","python","rust"],"archived":false,"github_pushed_at":"2026-08-03T11:59:29+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/lance-format-lance","markdown_url":"https://www.graphcanon.com/tools/lance-format-lance.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lance-format-lance","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lance-format-lance","shared_categories":["data-retrieval"]},{"slug":"tensorchord-awesome-llmops","name":"Awesome-LLMOps","tagline":"An awesome & curated list of best LLMOps tools for developers","github_url":"https://github.com/tensorchord/Awesome-LLMOps","owner":"tensorchord","repo":"Awesome-LLMOps","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Shell","stars":5915,"forks":993,"topics":["ai-development-tools","awesome-list","llmops","mlops"],"archived":false,"github_pushed_at":"2026-05-21T09:12:50+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops","markdown_url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-awesome-llmops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-awesome-llmops","shared_categories":["model-training","data-retrieval"]},{"slug":"treeverse-lakefs","name":"lakeFS","tagline":"Data version control for your data lake","github_url":"https://github.com/treeverse/lakeFS","owner":"treeverse","repo":"lakeFS","owner_avatar_url":"https://avatars.githubusercontent.com/u/58909255?v=4","primary_language":"Go","stars":5480,"forks":472,"topics":["apache-spark","apache-sparksql","aws-s3","azure-blob-storage","azure-storage","data-engineering","data-lake","data-quality","data-version-control","data-versioning","datalake","datalakes","git-for-data","go","golang","google-cloud-storage","hadoop-filesystem","lakefs","object-storage"],"archived":false,"github_pushed_at":"2026-08-03T11:52:59+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/treeverse-lakefs","markdown_url":"https://www.graphcanon.com/tools/treeverse-lakefs.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/treeverse-lakefs","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=treeverse-lakefs","shared_categories":["data-retrieval"]},{"slug":"huaizhengzhang-ai-infra-from-zero-to-hero","name":"AI-Infra-from-Zero-to-Hero","tagline":"Awesome System for Machine Learning and LLM Infra","github_url":"https://github.com/HuaizhengZhang/AI-Infra-from-Zero-to-Hero","owner":"HuaizhengZhang","repo":"AI-Infra-from-Zero-to-Hero","owner_avatar_url":"https://avatars.githubusercontent.com/u/5894780?v=4","primary_language":null,"stars":4285,"forks":409,"topics":["ai-infra","genai","large-language-models","llmsys","mlsys","model-serving","model-training"],"archived":false,"github_pushed_at":"2025-07-25T02:24:35+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/huaizhengzhang-ai-infra-from-zero-to-hero","markdown_url":"https://www.graphcanon.com/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huaizhengzhang-ai-infra-from-zero-to-hero","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huaizhengzhang-ai-infra-from-zero-to-hero","shared_categories":["model-training"]},{"slug":"ucbepic-docetl","name":"docetl","tagline":"A system for agentic LLM-powered data processing and ETL","github_url":"https://github.com/ucbepic/docetl","owner":"ucbepic","repo":"docetl","owner_avatar_url":"https://avatars.githubusercontent.com/u/88680502?v=4","primary_language":"Python","stars":3961,"forks":421,"topics":["agents","data","data-pipelines","document-analysis","document-processing","elt","etl","llm","python","semantic-data","unstructured-data","unstructured-data-analysis","workflow"],"archived":false,"github_pushed_at":"2026-08-09T23:31:04+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/ucbepic-docetl","markdown_url":"https://www.graphcanon.com/tools/ucbepic-docetl.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ucbepic-docetl","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ucbepic-docetl","shared_categories":["data-retrieval"]},{"slug":"gmpetrov-databerry","name":"databerry","tagline":"The no-code platform for building custom LLM Agents","github_url":"https://github.com/gmpetrov/databerry","owner":"gmpetrov","repo":"databerry","owner_avatar_url":"https://avatars.githubusercontent.com/u/4693180?v=4","primary_language":null,"stars":2965,"forks":420,"topics":["ai","aichatbot","chatbot","chatbots","chatgpt","llm","no-code","openai","qdrant","semantic-search","typescript"],"archived":false,"github_pushed_at":"2024-06-17T12:36:06+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/gmpetrov-databerry","markdown_url":"https://www.graphcanon.com/tools/gmpetrov-databerry.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/gmpetrov-databerry","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=gmpetrov-databerry","shared_categories":[]}]}}