Why
Users need durable, multi-step agent workflows, not just isolated retrieval snippets. Chroma should be shown as long-term state across sessions.
Proposal
Create a deep walkthrough for LangGraph-based agents using Chroma as long-term memory.
Scope
- Use LangGraph workflow/state model with Chroma memory integration.
- Persist and replay cross-session context.
- Demonstrate interruption/restart recovery.
- Show how tool outputs are summarized and stored as retrievable memory.
Deliverables
- Runnable LangGraph example.
- Walkthrough with graph/state explanation and debugging workflow.
- Example of failure handling and recovery.
Acceptance Criteria
- Workflow can be resumed without losing relevant context.
- Memory retrieval affects downstream node decisions.
- The guide includes clear inspection/debugging steps for graph state and memory records.
Why
Users need durable, multi-step agent workflows, not just isolated retrieval snippets. Chroma should be shown as long-term state across sessions.
Proposal
Create a deep walkthrough for LangGraph-based agents using Chroma as long-term memory.
Scope
Deliverables
Acceptance Criteria