Checkpointing
Checkpoint every meaningful transition: inputs, tool calls, decisions, outputs, and recovery metadata.
Durable AI Execution
Patterns for AI workflows that survive partial failure and remain inspectable after each run.
memory architecture diagram. Nodes: event, encode, episodic, semantic, recall, compress. Flow: event to encode (primary); encode to semantic (primary); semantic to recall (primary); encode to episodic (supporting); episodic to recall (supporting); recall to compress (feedback).
Replay
Replay turns failures into inspectable events instead of ambiguous model behavior.
Memory Layer
Episodic memory, semantic retrieval, compression, and replayable context for agents that need continuity.
memory architecture diagram. Nodes: event, encode, episodic, semantic, recall, compress. Flow: event to encode (primary); encode to semantic (primary); semantic to recall (primary); encode to episodic (supporting); episodic to recall (supporting); recall to compress (feedback).
Workflow Engine
Durable execution, retries, branching, checkpoints, and human gates for AI workflows in production.
workflow architecture diagram. Nodes: start, branch, retry, gate, commit, checkpoint. Flow: start to branch (primary); branch to gate (primary); gate to commit (primary); branch to retry (supporting); retry to branch (loop); gate to checkpoint (feedback).
Related projects
Shipped systems where this concept runs in production.
Have a project in mind?
Tell me about the operational problem you want to solve. A few lines about the context and the systems involved are enough for a first assessment.