{"data":{"node":{"slug":"neumtry-neumai","name":"NeumAI","tagline":"Framework to manage creation and synchronization of vector embeddings at large scale","github_url":"https://github.com/NeumTry/NeumAI","owner":"NeumTry","repo":"NeumAI","owner_avatar_url":"https://avatars.githubusercontent.com/u/129831068?v=4","primary_language":"Python","stars":867,"forks":50,"topics":["ai","chatgpt","data","data-engineering","database","embeddings","etl","llm","llmops","mlops","ops","pipeline","python","rag","retrieval","vector-database","vectors"],"archived":false,"github_pushed_at":"2024-01-15T23:00:58+00:00","maintenance_label":"Dormant","stars_delta_30d":3,"url":"https://www.graphcanon.com/tools/neumtry-neumai","markdown_url":"https://www.graphcanon.com/tools/neumtry-neumai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/neumtry-neumai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=neumtry-neumai"},"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":"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":"ai","name":"ai"},{"slug":"data-engineering","name":"data-engineering"},{"slug":"database","name":"database"},{"slug":"embeddings","name":"embeddings"},{"slug":"etl","name":"etl"},{"slug":"llmops","name":"llmops"},{"slug":"mlops","name":"mlops"},{"slug":"pipeline","name":"pipeline"}],"edges":[{"type":"integrates_with","direction":"out","explanation":"As Neum AI manages the creation and synchronization of vector embeddings, Qdrant as a high-performance Vector Database could be used in conjunction to store and search these embeddings.","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":"related","direction":"out","explanation":"Both platforms handle data management but Dolt focuses on version-controlled databases (Git for Data), while Neum AI manages scaling vector embeddings.","successor_context":null,"tool":{"slug":"dolthub-dolt","name":"dolt","tagline":"Git for Data","github_url":"https://github.com/dolthub/dolt","owner":"dolthub","repo":"dolt","owner_avatar_url":"https://avatars.githubusercontent.com/u/42156961?v=4","primary_language":"Go","stars":24225,"forks":860,"topics":["agent-memory","agent-memory-server","ai-agents","ai-database","data-version-control","data-versioning","database","database-version-control","database-versioning","decentralized-database","git","git-database","git-for-data","git-for-databases","git-sql","immutable-database","mariadb","mysql","sql","version-controlled-database"],"archived":false,"github_pushed_at":"2026-08-19T18:01:34+00:00","maintenance_label":"Very active","stars_delta_30d":318,"url":"https://www.graphcanon.com/tools/dolthub-dolt","markdown_url":"https://www.graphcanon.com/tools/dolthub-dolt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dolthub-dolt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dolthub-dolt"}},{"type":"integrates_with","direction":"out","explanation":"Neum AI can integrate with Haystack to leverage its context-engineered orchestration capabilities in integrating large language model applications.","successor_context":null,"tool":{"slug":"deepset-ai-haystack","name":"haystack","tagline":"Open-source AI orchestration framework for building context-engineered LLM applications.","github_url":"https://github.com/deepset-ai/haystack","owner":"deepset-ai","repo":"haystack","owner_avatar_url":"https://avatars.githubusercontent.com/u/51827949?v=4","primary_language":"Python","stars":26073,"forks":2972,"topics":["agent","agents","ai","gemini","generative-ai","gpt-4","information-retrieval","large-language-models","llm","machine-learning","nlp","orchestration","python","pytorch","question-answering","rag","retrieval-augmented-generation","semantic-search","summarization","transformers"],"archived":false,"github_pushed_at":"2026-08-01T03:06:32+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/deepset-ai-haystack","markdown_url":"https://www.graphcanon.com/tools/deepset-ai-haystack.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepset-ai-haystack","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepset-ai-haystack"}},{"type":"related","direction":"out","explanation":"Both Neum AI and Haystack are involved in the orchestration of data and context-engineering processes for LLM applications but cater to different aspects of the workflow.","successor_context":null,"tool":{"slug":"deepset-ai-haystack","name":"haystack","tagline":"Open-source AI orchestration framework for building context-engineered LLM applications.","github_url":"https://github.com/deepset-ai/haystack","owner":"deepset-ai","repo":"haystack","owner_avatar_url":"https://avatars.githubusercontent.com/u/51827949?v=4","primary_language":"Python","stars":26073,"forks":2972,"topics":["agent","agents","ai","gemini","generative-ai","gpt-4","information-retrieval","large-language-models","llm","machine-learning","nlp","orchestration","python","pytorch","question-answering","rag","retrieval-augmented-generation","semantic-search","summarization","transformers"],"archived":false,"github_pushed_at":"2026-08-01T03:06:32+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/deepset-ai-haystack","markdown_url":"https://www.graphcanon.com/tools/deepset-ai-haystack.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepset-ai-haystack","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepset-ai-haystack"}},{"type":"related","direction":"out","explanation":"Both Neum AI and infiniflow-ragflow deal with Retrieval-Augmented Generation (RAG), but they may focus on different aspects or have different features.","successor_context":null,"tool":{"slug":"infiniflow-ragflow","name":"ragflow","tagline":"Retrieval-Augmented Generation engine with agent capabilities","github_url":"https://github.com/infiniflow/ragflow","owner":"infiniflow","repo":"ragflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"Go","stars":86541,"forks":10167,"topics":["agent-harness","agentic-ai","agentic-retrieval","agentic-search","ai","ai-agents","context-engine","context-engineering","context-management","harness-engineering","knowledge-compilation","llm-apps","rag","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-07-31T14:59:12+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/infiniflow-ragflow","markdown_url":"https://www.graphcanon.com/tools/infiniflow-ragflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-ragflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-ragflow"}},{"type":"integrates_with","direction":"out","explanation":"Neum AI works with vector databases which could include Milvus for similarity search, indicating an integration relationship between the two.","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"}},{"type":"integrates_with","direction":"out","explanation":"Neum AI's focus on vector embedding creation for similarity search aligns well with Chroma’s purpose as a search infrastructure for AI, suggesting an integration.","successor_context":null,"tool":{"slug":"chroma-core-chroma","name":"chroma","tagline":"Search infrastructure for AI","github_url":"https://github.com/chroma-core/chroma","owner":"chroma-core","repo":"chroma","owner_avatar_url":"https://avatars.githubusercontent.com/u/105881770?v=4","primary_language":"Rust","stars":28898,"forks":2409,"topics":["agents","ai","ai-agents","database","rust","rust-lang"],"archived":false,"github_pushed_at":"2026-07-27T22:15:20+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/chroma-core-chroma","markdown_url":"https://www.graphcanon.com/tools/chroma-core-chroma.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/chroma-core-chroma","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=chroma-core-chroma"}},{"type":"related","direction":"out","explanation":"Chroma provides search infrastructure for AI and Neum AI also focuses on organizing data for large language models, making them related in the domain of context-aware systems.","successor_context":null,"tool":{"slug":"chroma-core-chroma","name":"chroma","tagline":"Search infrastructure for AI","github_url":"https://github.com/chroma-core/chroma","owner":"chroma-core","repo":"chroma","owner_avatar_url":"https://avatars.githubusercontent.com/u/105881770?v=4","primary_language":"Rust","stars":28898,"forks":2409,"topics":["agents","ai","ai-agents","database","rust","rust-lang"],"archived":false,"github_pushed_at":"2026-07-27T22:15:20+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/chroma-core-chroma","markdown_url":"https://www.graphcanon.com/tools/chroma-core-chroma.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/chroma-core-chroma","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=chroma-core-chroma"}},{"type":"related","direction":"out","explanation":"Neum AI and pandas-ai both involve conversational interfaces driven by LLMs for interacting with data or datalakes but serve different use cases.","successor_context":null,"tool":{"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","stars_delta_30d":90,"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"}}],"neighbours":[{"slug":"firecrawl-firecrawl","name":"firecrawl","tagline":"The API to search, scrape, and interact with the web at scale. 🔥","github_url":"https://github.com/firecrawl/firecrawl","owner":"firecrawl","repo":"firecrawl","owner_avatar_url":"https://avatars.githubusercontent.com/u/135057108?v=4","primary_language":"TypeScript","stars":167794,"forks":9398,"topics":["ai","ai-agents","ai-crawler","ai-scraping","ai-search","crawler","data-extraction","html-to-markdown","llm","markdown","scraper","scraping","web-crawler","web-data","web-data-extraction","web-scraper","web-scraping","web-search","webscraping"],"archived":false,"github_pushed_at":"2026-08-15T19:52:46+00:00","maintenance_label":"Very active","stars_delta_30d":15884,"url":"https://www.graphcanon.com/tools/firecrawl-firecrawl","markdown_url":"https://www.graphcanon.com/tools/firecrawl-firecrawl.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/firecrawl-firecrawl","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=firecrawl-firecrawl","shared_categories":["data-retrieval"]},{"slug":"shubhamsaboo-awesome-llm-apps","name":"awesome-llm-apps","tagline":"Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.","github_url":"https://github.com/Shubhamsaboo/awesome-llm-apps","owner":"Shubhamsaboo","repo":"awesome-llm-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/31396011?v=4","primary_language":"Python","stars":131230,"forks":19346,"topics":["agents","llms","python","rag"],"archived":false,"github_pushed_at":"2026-08-03T03:30:58+00:00","maintenance_label":"Very active","stars_delta_30d":14464,"url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps","markdown_url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shubhamsaboo-awesome-llm-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps","shared_categories":["data-retrieval"]},{"slug":"microsoft-generative-ai-for-beginners","name":"generative-ai-for-beginners","tagline":"21 Lessons for Getting Started with Generative AI","github_url":"https://github.com/microsoft/generative-ai-for-beginners","owner":"microsoft","repo":"generative-ai-for-beginners","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":113577,"forks":60972,"topics":["ai","azure","chatgpt","dall-e","generative-ai","generativeai","gpt","language-model","llms","microsoft-for-beginners","openai","prompt-engineering","semantic-search","transformers"],"archived":false,"github_pushed_at":"2026-07-23T03:43:21+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/microsoft-generative-ai-for-beginners","markdown_url":"https://www.graphcanon.com/tools/microsoft-generative-ai-for-beginners.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-generative-ai-for-beginners","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-generative-ai-for-beginners","shared_categories":["data-retrieval"]},{"slug":"graphify-labs-graphify","name":"graphify","tagline":"Turn any code or documentation into a queryable knowledge graph","github_url":"https://github.com/Graphify-Labs/graphify","owner":"Graphify-Labs","repo":"graphify","owner_avatar_url":"https://avatars.githubusercontent.com/u/297659074?v=4","primary_language":"Python","stars":107507,"forks":10441,"topics":["ai-agents","antigravity","ast","claude-code","code-analysis","code-search","codex","cursor","developer-tools","gemini","graphrag","knowledge-graph","leiden","llm","mcp","openclaw","rag","skills","tree-sitter"],"archived":false,"github_pushed_at":"2026-08-17T18:42:58+00:00","maintenance_label":"Very active","stars_delta_30d":16918,"url":"https://www.graphcanon.com/tools/graphify-labs-graphify","markdown_url":"https://www.graphcanon.com/tools/graphify-labs-graphify.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/graphify-labs-graphify","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=graphify-labs-graphify","shared_categories":["data-retrieval"]},{"slug":"supabase-supabase","name":"supabase","tagline":"The Postgres development platform.","github_url":"https://github.com/supabase/supabase","owner":"supabase","repo":"supabase","owner_avatar_url":"https://avatars.githubusercontent.com/u/54469796?v=4","primary_language":"TypeScript","stars":106774,"forks":13223,"topics":["ai","alternative","auth","database","deno","embeddings","example","firebase","nextjs","oauth2","pgvector","postgis","postgres","postgresql","postgrest","realtime","supabase","vectors","websockets"],"archived":false,"github_pushed_at":"2026-07-22T12:00:23+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/supabase-supabase","markdown_url":"https://www.graphcanon.com/tools/supabase-supabase.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/supabase-supabase","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=supabase-supabase","shared_categories":["data-retrieval"]},{"slug":"harry0703-moneyprinterturbo","name":"MoneyPrinterTurbo","tagline":"Generate short videos with one click using AI LLM","github_url":"https://github.com/harry0703/MoneyPrinterTurbo","owner":"harry0703","repo":"MoneyPrinterTurbo","owner_avatar_url":"https://avatars.githubusercontent.com/u/4928832?v=4","primary_language":"Python","stars":102619,"forks":15488,"topics":["ai-video-generator","content-creation","ffmpeg","instagram-reels","llm","python","short-video","subtitles","text-to-speech","tiktok","video-automation","video-workflow","workflow-automation","youtube-shorts"],"archived":false,"github_pushed_at":"2026-08-11T02:41:36+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/harry0703-moneyprinterturbo","markdown_url":"https://www.graphcanon.com/tools/harry0703-moneyprinterturbo.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/harry0703-moneyprinterturbo","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=harry0703-moneyprinterturbo","shared_categories":["data-retrieval"]},{"slug":"nexu-io-open-design","name":"open-design","tagline":"🎨 The open-source Claude Design alternative. 🖥️ Local-first desktop app.","github_url":"https://github.com/nexu-io/open-design","owner":"nexu-io","repo":"open-design","owner_avatar_url":"https://avatars.githubusercontent.com/u/263625318?v=4","primary_language":"TypeScript","stars":89185,"forks":10298,"topics":["agent-skills","ai-design","byok","claude-code-for-design","claude-design","codex-design","coding-agents","cursor-design","deepseek","deepseek-harness","design-systems","desktop-app","dsh","dsh-plugin","figma-alternative","hermes-agent","local-first","prototyping","ui-generator","vibe-coding"],"archived":false,"github_pushed_at":"2026-08-19T11:57:14+00:00","maintenance_label":"Very active","stars_delta_30d":9390,"url":"https://www.graphcanon.com/tools/nexu-io-open-design","markdown_url":"https://www.graphcanon.com/tools/nexu-io-open-design.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nexu-io-open-design","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nexu-io-open-design","shared_categories":["data-retrieval"]},{"slug":"infiniflow-ragflow","name":"ragflow","tagline":"Retrieval-Augmented Generation engine with agent capabilities","github_url":"https://github.com/infiniflow/ragflow","owner":"infiniflow","repo":"ragflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"Go","stars":86541,"forks":10167,"topics":["agent-harness","agentic-ai","agentic-retrieval","agentic-search","ai","ai-agents","context-engine","context-engineering","context-management","harness-engineering","knowledge-compilation","llm-apps","rag","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-07-31T14:59:12+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/infiniflow-ragflow","markdown_url":"https://www.graphcanon.com/tools/infiniflow-ragflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-ragflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-ragflow","shared_categories":["data-retrieval"]},{"slug":"koala73-worldmonitor","name":"worldmonitor","tagline":"Real-time global intelligence dashboard with AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking","github_url":"https://github.com/koala73/worldmonitor","owner":"koala73","repo":"worldmonitor","owner_avatar_url":"https://avatars.githubusercontent.com/u/996596?v=4","primary_language":"TypeScript","stars":82968,"forks":12378,"topics":["agent","ai","dashboard","geopolitics","mcp","mcp-server","monitoring","news","opensource","osint","palantir","situation"],"archived":false,"github_pushed_at":"2026-08-18T22:53:21+00:00","maintenance_label":"Very active","stars_delta_30d":20953,"url":"https://www.graphcanon.com/tools/koala73-worldmonitor","markdown_url":"https://www.graphcanon.com/tools/koala73-worldmonitor.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/koala73-worldmonitor","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=koala73-worldmonitor","shared_categories":["data-retrieval"]},{"slug":"redis-redis","name":"redis","tagline":"Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications.","github_url":"https://github.com/redis/redis","owner":"redis","repo":"redis","owner_avatar_url":"https://avatars.githubusercontent.com/u/1529926?v=4","primary_language":"C","stars":75627,"forks":24730,"topics":["cache","caching","database","distributed-systems","in-memory","in-memory-database","json","key-value","key-value-store","message-broker","message-queue","no-sql","nosql","open-source","real-time","realtime","redis","time-series","vector-databases","vector-search"],"archived":false,"github_pushed_at":"2026-07-23T09:22:07+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/redis-redis","markdown_url":"https://www.graphcanon.com/tools/redis-redis.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/redis-redis","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=redis-redis","shared_categories":["data-retrieval","vector-databases"]},{"slug":"d4vinci-scrapling","name":"Scrapling","tagline":"An adaptive Web Scraping framework","github_url":"https://github.com/D4Vinci/Scrapling","owner":"D4Vinci","repo":"Scrapling","owner_avatar_url":"https://avatars.githubusercontent.com/u/20604835?v=4","primary_language":"Python","stars":71247,"forks":7067,"topics":["ai","ai-scraping","automation","crawler","crawling","crawling-python","data","data-extraction","mcp","mcp-server","playwright","python","scraping","selectors","stealth","web-scraper","web-scraping","web-scraping-python","webscraping","xpath"],"archived":false,"github_pushed_at":"2026-07-25T16:07:12+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/d4vinci-scrapling","markdown_url":"https://www.graphcanon.com/tools/d4vinci-scrapling.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/d4vinci-scrapling","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=d4vinci-scrapling","shared_categories":["data-retrieval"]},{"slug":"headroomlabs-ai-headroom","name":"headroom","tagline":"Compress tool outputs and data to reduce tokens before reaching the LLM.","github_url":"https://github.com/headroomlabs-ai/headroom","owner":"headroomlabs-ai","repo":"headroom","owner_avatar_url":"https://avatars.githubusercontent.com/u/294291659?v=4","primary_language":"Python","stars":66470,"forks":5103,"topics":["agent","ai","anthropic","claude-code","compression","context-engineering","context-window","cursor","fastapi","langchain","llm","mcp","openai","prompt-engineering","proxy","python","rag","token-optimization","tokens","typescript"],"archived":false,"github_pushed_at":"2026-08-16T00:57:42+00:00","maintenance_label":"Very active","stars_delta_30d":6941,"url":"https://www.graphcanon.com/tools/headroomlabs-ai-headroom","markdown_url":"https://www.graphcanon.com/tools/headroomlabs-ai-headroom.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/headroomlabs-ai-headroom","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=headroomlabs-ai-headroom","shared_categories":["data-retrieval"]}]}}