{"id":"hmbown-aleph","name":"aleph","af_score":55.8,"security_score":49.0,"reliability_score":37.5,"what_it_does":"Aleph is a Python MCP server and CLI/skill that implements a Recursive Language Model (RLM) workflow: it persists working state (loaded contexts, search indexes, evidence, sessions) outside the LLM prompt window, supports iterative search/navigation, server-side code execution over loaded context (exec_python), and recursive sub-query orchestration to converge on answers.","best_when":"You want an agent workflow that loads large context once, iterates with MCP tools to narrow scope, runs computation server-side, and persists results across long sessions.","avoid_when":"You cannot control the safety of code execution/output exposure, or you need a fully managed hosted service with strong reliability guarantees.","last_evaluated":"2026-03-30T13:39:06.658618+00:00","has_mcp":true,"has_api":false,"auth_methods":["Environment-variable configuration for provider backends (e.g., ALEPH_SUB_QUERY_API_KEY for OpenAI-compatible sub-query API; ALEPH_LLAMACPP_URL for local llama.cpp)","No explicit auth documented for the MCP server in provided README"],"has_free_tier":false,"known_gotchas":["exec_python runs code over loaded context; ensure sandboxing and strict input/output handling when used by autonomous agents","get_variable('ctx') is described as policy-aware but retrieving full raw context can defeat the intended context-minimization strategy","Recursive sub-query backends depend on the selected install profile; misconfiguration of provider/model env vars can break recursion"],"error_quality":0.0}