{"id":"haiphucnguyen-askimo","name":"askimo","af_score":39.5,"security_score":47.8,"reliability_score":31.2,"what_it_does":"Askimo is a local-first AI desktop app and CLI that connects users to multiple LLM providers (cloud and local), supports persistent chat sessions stored locally (SQLite), performs document/code search with hybrid RAG (BM25 + vector), integrates MCP tools (via stdio or HTTP), and can run scripts (Python/Bash/JavaScript) from the chat. It claims local-only telemetry (token/cost/RAG performance) with data kept on disk.","best_when":"You want a local desktop/CLI AI workspace that keeps conversation and indexed state on disk while integrating with MCP tools and local models (e.g., Ollama).","avoid_when":"You need a stable, documented network API surface (REST/OpenAPI/SDK) for external automation, or you cannot control/sandbox tool and script execution triggered by the agent.","last_evaluated":"2026-03-30T15:19:05.330261+00:00","has_mcp":true,"has_api":false,"auth_methods":["Provider API keys for cloud models (as described: API key for cloud providers)","Local model configuration (e.g., point to a running Ollama instance / local endpoints)"],"has_free_tier":false,"known_gotchas":["Tool execution risk: the README indicates it can run scripts and connect external tools via MCP; agents should assume tool execution side effects and plan for safety/sandboxing.","Local-only state: persistent sessions and indexes are local; automation agents may need to manage filesystem/workspace context for reproducibility.","Provider variability: multi-provider support can lead to different behaviors/limitations across providers and OpenAI-compatible endpoints."],"error_quality":0.0}