Vs · Windsurf
Cascade flows in a polished IDE against memory-first terminal autonomy. Flow state vs compound knowledge.
Direct answer
Anvaya vs Windsurf: Windsurf is the flow-state IDE — a VS Code fork whose Cascade agent runs multi-step, multi-file flows with visual diffs and persistent session memory, on subscription tiers. Anvaya is the memory-first terminal agent: Ollama-first and fully offline, 19 native tools, subagents and swarm orchestration with merge gates, and a local knowledge graph (typed nodes with half-lives, git drift detection, Beta-Bernoulli utility) packing 2–4K tokens per turn instead of ~50K raw. Windsurf wins in-editor flow and review UX; Anvaya wins autonomy depth, privacy (local by default), and knowledge that compounds across sessions rather than resetting per flow. Many teams will keep Windsurf for daily flows and add Anvaya for deep refactors, CI runs, and shared memory over MCP.
The Table
Questions
Windsurf is an AI-native IDE (VS Code fork) whose Cascade agent orchestrates multi-file flows with persistent session memory inside the editor. Anvaya is terminal-first and local-first: Ollama models, offline capable, ~15MB binary — plus a memory graph that compounds across sessions (typed nodes, decay, drift detection, outcome calibration) instead of per-flow session state.
Windsurf's Cascade is purpose-built for in-editor multi-file orchestration with visual diffs — the smoother review experience. Anvaya's subagents plus swarm packs handle larger autonomous multi-file missions with merge gates, grounded in repomap call graphs and calibrated project memory. Editor review vs autonomous depth.
Any MCP-capable client can: point Windsurf at the mind-mcp server and its flows arrive with packed project memory — decisions, bug threads, conventions — instead of re-deriving them per session.
Windsurf is closed-source and cloud-routed with subscription tiers. Anvaya defaults to local execution (nothing leaves your machine, offline capable) with open memory formats. Different answers for regulated or NDA codebases.
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.