Why Spaceduck
Persistent memory
Hybrid recall (vector + keyword) finds what you said even when you don’t use the same words. Facts are extracted eagerly after every response.
Provider freedom
Swap between local models (llama.cpp, LM Studio) and cloud providers (Bedrock, Gemini, OpenRouter) from the Settings UI — no restart required.
Agentic tools
Web search, browser automation, document scanning, and HTTP fetch. The agent loop chains tool calls automatically.
Multi-channel
Web UI, Desktop app (Tauri), WhatsApp, and CLI. Same memory, same tools, any surface.
How it works
Spaceduck runs a local gateway server that connects your chosen AI model to persistent memory, tools, and channels. Every conversation flows through the gateway. The gateway manages context budgets, extracts facts into long-term memory, embeds them for semantic recall, and orchestrates tool calls.Key features
- Typed memory — facts, episodes, and procedures with semantic dedup and automatic contradiction detection
- Hybrid recall — Reciprocal Rank Fusion combining vector cosine similarity and FTS5 BM25, with recency decay
- Self-correcting — when you change a fact (“I moved to Tokyo”), the old one is automatically superseded
- Hot-swap providers — change your chat model or embedding model at runtime from the Settings UI or CLI
- Two-server pattern — run chat and embeddings on separate endpoints (local, cloud, or mixed)
- Eager extraction — memories are classified and stored after every turn, not only at compaction
Next steps
Quickstart
Get Spaceduck running and send your first message in under 5 minutes.
Model Providers
Choose and configure your chat and embedding model providers.