Enables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.
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process.env. You'll be asked to provide them before it can run.SCHOLAR_MEMORY_DIR— ~/.scholaragent Data directorySCHOLAR_MEMORY_DB— ~/.scholaragent/memory.db SQLite DB pathSCHOLAR_STRONG_BACKEND— anthropic Backend for analysis agentsSCHOLAR_CHEAP_BACKEND— openai Backend for ScoutSCHOLAR_EMBEDDING_BACKEND— export =lmstudioSCHOLAR_STRONG_MODEL— claude-sonnet-4-6 Strong model nameSCHOLAR_CHEAP_MODEL— gpt-4o-mini Cheap model nameSCHOLAR_LMSTUDIO_URLSCHOLAR_EMBEDDING_MODEL— export =text-embedding-nomic-embed-text-v1.5SCHOLAR_EMBEDDING_BASE_URLSCHOLAR_EMBEDDING_API_KEYSCHOLAR_PROJECT_ROOTOPENAI_API_KEY— (for embeddings — required by default) plus ANTHROPIC_API_KEY (for the strong model in normal/deep research), orANTHROPIC_API_KEY— OPENAI_API_KEY (for embeddings — required by default) plus (for the strong model in normal/deep research), orGITHUB_TOKEN— Optional: for GitHub code search (otherwise you'll get 401s — non-fatal).TAVILY_API_KEYBRAVE_API_KEYSERPER_API_KEY[](https://m8ven.ai/mcp/bybasiliosp-rlm-agent-ug4tji)