{"title": "Longevity Genie", "logoImg": "bafkreibgf2f3d6lahxa53uzyzmtskuyl35arrzii2znrek7raev4bvqrgq", "website": "https://longevity-genie.info", "bannerImg": "bafkreidkibavvvbsckh73p72frac62hhilcxxx7wxyc3rs6dj6lsoli3f4", "createdAt": 1692052572842, "userGithub": " antonkulaga", "credentials": {"github": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..8UY0duFZBO6x4b9bvrlRQwI7TvB5smr7WuuewmebV4jegZoHVPHc_cyR9NYKRI64puk6AkJS9dxjstfr3hrJBQ", "type": "Ed25519Signature2018", "created": "2024-08-08T21:39:10.482Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2024-08-08T21:39:10.482Z", "expirationDate": "2024-11-06T21:39:10.482Z", "credentialSubject": {"id": "did:pkh:eip155:1:0xBc7BeB2d44Eb0Cddf6c0F2560a21475c2E2aC19C", "hash": "v0.0.0:r0kUiWSMqjJbd+4W0SZZE5bGkFm5Q3cM2AkYzs1Gi0w=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextGithubOrg#longevity-genie#842436"}}, "twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..dEwlCRPBAZoCuPstoUlShFIBgdDGOLU_sEdrh0ME1o4VUIzimx26Mlnn_dh-XWC3MMlaq0NalxK6KTSELR5NDQ", "type": "Ed25519Signature2018", "created": "2024-08-08T21:38:33.662Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2024-08-08T21:38:33.661Z", "expirationDate": "2024-11-06T21:38:33.661Z", "credentialSubject": {"id": "did:pkh:eip155:1:0xBc7BeB2d44Eb0Cddf6c0F2560a21475c2E2aC19C", "hash": "v0.0.0:zYJ0YKL8PLWq97eeaty6tyZt6OHVkkbkERgI4QB98fk=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#longevity_genie"}}}, "description": "## Longevity Genie: Advanced AI Tools for Aging Biology Research\n\nLongevity Genie develops advanced, open-source AI tools that provide reliable access and insights into complex scientific fields like **aging biology, genetics, and longevity research**. Our goal is to make cutting-edge scientific knowledge easier to access and use for citizen scientists, tech enthusiasts, and amateur researchers alike.\n\nTypical AI models often struggle with precise and up-to-date scientific details, especially in fast-moving fields such as geroscience. Longevity Genie addresses this problem by using advanced techniques like Retrieval-Augmented Generation (RAG), Hybrid Search, and specialized AI agents built with our own frameworks and easy to integrate with others. Our tools retrieve data directly from high-quality research papers and biological databases, improving accuracy and trustworthiness for scientific exploration.\n\n**New Strategy: A Modular, Multi-Agent Future (In Progress!)**\n\nWe are currently **transitioning to a more powerful, modular multi-agent architecture**. Rather than relying on a single large system, we are developing multiple specialized AI agents, each designed for specific scientific databases or research tasks (such as analyzing gene sets, summarizing biological pathways, or finding relevant research papers). This strategy focuses on building reusable, flexible AI tools that can easily integrate into diverse workflows.\n\nThis modular architecture includes:\n\n* **[just-agents](https://github.com/longevity-genie/just-agents):** A lightweight, flexible framework we created to quickly build and organize specialized AI agents. It emphasizes simplicity and versatility, allowing agents to integrate seamlessly into various research workflows—not limited to chat interfaces.\n* **[just-chat](https://github.com/longevity-genie/just-chat):** \nA versatile tool showcasing how agents built with `just-agents` can be interacted with directly via a simple chat interface: equally useful for testing, iterating prompts, exploration, and specific applications alike.\n\n* **[just-semantic-search](http://github.com/longevity-genie/just-semantic-search/):** An advanced search library optimized specifically for scientific content, efficiently indexing and retrieving information from research papers and biological databases, supporting a hybrid of conventional and semantic (vector similarity based) search\n\nAs part of this approach, we're also developing and releasing **Model Context Protocol (MCP) servers**. These specialized servers efficiently supply context from various longevity-focused databases (such as GenAge and DrugAge) and research tools directly to AI agents. MCP is designed to be framework-agnostic, compatible with most popular agent frameworks—including but not limited to our `just-agents` framework, many of which either plan or have already implemented MCP support.\n\nThe ultimate vision is connecting these specialized agents into a sophisticated multi-agent system, providing comprehensive scientific insights via flexible, accessible tools.\n\n**Core Components & Frameworks:**\n\n* **[GitHub Organization](https://github.com/longevity-genie):** Home for our open-source codebase, including core frameworks (`just-agents`, `just-chat`, `just-semantic-search`) and specialized agents built to explore multiple [aging-related databases](https://github.com/longevity-genie/longdata).\n* **[Project Website](https://longevity-genie.info/):** General project information and updates.\n* **[Genetics Genie Chat](https://chat.longevity-genie.info/):** Web interface demonstrating the `just-chat` functionality with an agent specialized in aging-related genetics research.\n* **Example Agent Applications & Demonstrations:** Real-world examples showcasing our frameworks, usually built around specific biological databases:\n\t* **[Genetics Genie GPT](https://chat.openai.com/g/g-HnvTUyFeq-genetics-genie):** A GPT-based agent using hybrid search across multiple genetics databases relevant to aging research. (This agent alone facilitated over 10,000 conversations, earning 200+ user ratings averaging 4.3/5 stars, organically demonstrating significant community interest.)\n\t* **[Clinical-Trials Genie](https://chat.openai.com/g/g-tpOIOEeWm-clinical-trials-genie):** An agent offering insights from ClinicalTrials.gov, useful for tracking aging-related clinical trials (GPT example).\n\t* **[DrugAge Genie](https://chat.openai.com/g/g-tpOIOEeWm-clinical-trials-genie):** An agent focused on compounds that influence lifespan, utilizing the DrugAge database (GPT example). *(Note: Link appears identical to Clinical-Trials Genie in the original text)*\n\t* **[AnAge Genie](https://chat.openai.com/g/g-I8OGEVL4X-animal-ageing-genie):** An agent providing lifespan information across species from the AnAge database (GPT example).\n* **[Longevity GPT](https://asklongevitygpt.com/):** Our initial project demonstrating Retrieval-Augmented Generation and advanced referencing techniques tailored to aging literature.\n* **[Aging-related papers datasets](https://huggingface.co/longevity-genie):** Aging research datasets hosted on Hugging Face, supporting development and research.\n\n**Our Goal: Accessible and Modular AI Tools for Aging Research**\n\nLongevity Genie is committed to accelerating discoveries in aging biology using powerful AI. Our overarching goal is to create and share robust, specialized AI agents and tools, accessible for integration into diverse applications—empowering citizen scientists, amateur researchers, and enthusiasts. These tools go far beyond typical chatbots, enabling advanced scientific discovery for everyone interested in longevity science.", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "longevity-genie", "projectTwitter": "longevity_genie"}