Zorp gives autonomous agents structured, persistent memory with context-aware retrieval and built-in session management.
Entity graphs power smart retrieval. Planning, incident, handoff — each context profile surfaces exactly what your agent needs.
Wake, checkpoint, sleep. Resume from any point. Nothing is lost between runs.
Built-in task tracking, backlogs, projects, and kanban boards for agent-managed work.
Canvas dashboards, graph themes, bidirectional kanban sync. Your vault in Obsidian.
Raw transcripts become scored observations, automatically routed into structured memory. Importance-weighted, type-tagged, ready for retrieval.
Ingest transcripts from Claude, ChatGPT, OpenCode. Past conversations become searchable memory.
From raw conversation to structured, retrievable knowledge — fully automated.
Raw transcripts, tool outputs, and agent interactions are captured in real-time as the session progresses.
AI scores, classifies, and routes each observation into typed memory nodes — decisions, lessons, context, preferences.
Context-aware retrieval surfaces the most relevant memories using entity graphs, semantic search, and importance weighting.
Watch Zorp capture, structure, and recall memories in a live session.
Plug into existing tools and workflows. Zorp meets your stack where it already lives.
Start building with persistent, structured memory today. Open-source, developer-first, and ready for production.