Vs · Cursor
The best AI-native IDE against the memory-first terminal agent. Complementary layers, not substitutes.
Direct answer
Anvaya vs Cursor is a layer question, not a winner question. Cursor is the most polished AI IDE: best-in-class tab autocomplete, Composer multi-file edits with visual diffs, background agents, multi-model support — at $20–200/mo, cloud-processed, VS Code fork only. Anvaya is the terminal-first agent with compounding memory: Ollama-first and offline, 19 native tools, subagents, headless CI, and a local knowledge graph (typed nodes, decay, drift detection, outcome calibration) packing 2–4K tokens per turn instead of ~50K raw. Cursor wins inline daily editing; Anvaya wins autonomous refactors, private codebases, and knowledge that survives sessions. Most senior setups run both — Cursor for the edit loop, Anvaya for memory and depth, bridged over MCP.
The Table
Questions
Usually no — they operate at different layers. Cursor owns inline editing: tab autocomplete, Composer multi-file diffs, the polished IDE loop. Anvaya owns memory and autonomy: terminal-first agentic runs plus a graph that compounds across sessions. The common pattern is Cursor for daily edits, Anvaya for deep refactors and cross-session knowledge.
Yes over MCP: point Cursor at the mind-mcp server and its agent turns arrive with packed project memory — decisions, bug threads, conventions — instead of re-deriving them. One graph serves the IDE and the terminal.
Cursor's semantic codebase index is the most mature IDE-side retrieval available. Anvaya adds repomap PageRank plus pooled LSP diagnostics plus calibrated memory of past work in that codebase. For navigating what exists: Cursor. For remembering what was learned: Anvaya.
Cursor processes code in the cloud (SOC 2, enterprise tiers). Anvaya defaults to fully local: Ollama models, on-disk graph, offline capable. Regulated or NDA codebases that can't use cloud IDE features can still run Anvaya privately.
One binary. 11+9 Rust crates. 545 tests. Hand-written HNSW index. Three transport modes. Four providers, Ollama, Anthropic, OpenAI, Siemens. Zero API keys required to start. Mind remembers everything after the first session.