Q
Windows support?
Not yet — the Mind daemon speaks Unix sockets (Linux/macOS). Windows timeline is undecided; the site states the limit plainly.
Docs · Install Anvaya
Install Anvaya.
From zero to first remembered session.
Direct answer
Anvaya is pre-1.0 and builds from source: Rust 1.75+ plus Ollama on Linux or macOS. Three moves — runtime, model, agent — then anv init scaffolds your first project in under 50ms. Total time: about fifteen minutes plus one model download.
Install Anvaya
Steps
011 · Install Rust + OllamaRust 1.75 or newer via rustup; Ollama from ollama.com. Verify with rustc --version and ollama --version.
022 · Pull a modelollama pull devstral (default). Confirm it answers on localhost:11434. Larger coders help on refactors; devstral covers daily work.
033 · Build AnvayaClone the Anvaya-CLI and anvaya-mind-rs repos, cargo build --release. One ~15MB binary plus the Mind daemon.
044 · Init your repoRun anv init in your project: .anvaya/{config.json, backups/, sessions/, mind/} appears idempotently. First frame in under 100ms.
055 · First sessionLaunch anv, pick a small task, approve tool calls inline. End the session — the graph records its first nodes. Session two is already smarter.
Questions
Asked About Install Anvaya.
Q
How much disk/RAM?
Binary ~15MB, idle ~5MB, graph grows with your history (SQLite + flat index, typically megabytes). The model dominates: 7B needs ~8GB RAM, 30B-class wants 24GB+.
Q
Do I need API keys?
No. Ollama-first means zero keys to start; Anthropic/OpenAI keys are optional upgrades per task.
Stop Starting From Zero.
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.