{"id":"mksglu-context-mode","name":"context-mode","af_score":58.5,"security_score":35.2,"reliability_score":26.2,"what_it_does":"Context Mode is an MCP-focused “context virtualization” layer for AI coding agents. It provides sandbox tools to keep large raw tool outputs out of the model context, tracks editing/tool/task/error/user events in a local SQLite database, and uses FTS5/BM25-style search to retrieve only relevant past events during context compaction so the agent can resume continuity.","best_when":"You are running a tool-using coding agent for long sessions (multi-step edits, many file reads, logs, web fetches) and your current workflow suffers from context-window overflow/forgetfulness after compaction.","avoid_when":"You can’t deploy a local MCP tool/plugin/hook integration or you require an external hosted managed service with explicit SLAs and compliance guarantees.","last_evaluated":"2026-03-29T14:57:15.621391+00:00","has_mcp":true,"has_api":false,"auth_methods":["None described (integration appears local and invoked by the host agent/plugin)"],"has_free_tier":false,"known_gotchas":["Hook/session-start availability varies by host platform (e.g., Cursor sessionStart hook rejected by validator per provided link; OpenCode/KiloCode sessionStart not yet available), which can affect resume behavior.","Routing/enforcement differs between platforms (MCP-only vs hook/plugin-based routing). If routing is not configured, the agent may not preferentially use sandbox tools, reducing effectiveness.","Local indexing implies the host environment must support SQLite/FTS5 operations; if those checks fail, the agent may degrade to less effective context handling (doctor command mentioned, but operational guarantees not shown)."],"error_quality":0.0}