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docs: clarify memory lifecycle across flows
Signed-off-by: Mason Kim(ZINUS US_SALES) <mkim@zinus.com>
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@@ -3001,6 +3001,19 @@ Available search parameters:
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- `-limit NUMBER`: Maximum number of results (default: 3)
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- `-threshold NUMBER`: Similarity threshold (0.0-1.0, default: 0.7)
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### Memory Lifecycle Across Flows
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PentAGI stores several kinds of vector documents, and they serve different purposes:
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- `memory` captures flow-specific execution history such as tool results and agent observations
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- `guide`, `answer`, and `code` are intended for reusable knowledge that can help future runs
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If you want to inspect what happened in one engagement, search the vector store with the related `flow_id`. If you want knowledge to survive beyond a single run, store the durable result explicitly as a `guide`, `answer`, or `code` document instead of relying on execution memory alone.
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For example, if a target has recurring setup notes, authentication quirks, or target-specific testing methodology, instruct the agent to save that information as a `guide` and search for it at the beginning of the next engagement. This is the safest current workflow when you want a new flow to start with reusable context.
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Flow deletion removes the flow from normal queries through PentAGI's soft-delete mechanism, so reusable knowledge should be treated as a separate concern from per-flow execution history. If you need broader episodic context across operations, enable the optional Graphiti knowledge graph described earlier in this README.
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### Common Troubleshooting Scenarios
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1. **After changing embedding provider**: Always run `flush` or `reindex` to ensure consistency
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@@ -706,6 +706,12 @@ The system maintains multiple types of persistent knowledge with PostgreSQL + pg
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- **Answer Storage** (`doc_type: answer`) - Q&A pairs for common scenarios
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- **Code Storage** (`doc_type: code`) - Programming language-specific code samples
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**Lifecycle Guidance**:
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- Treat `memory` as flow-scoped execution history. It is most useful for understanding what happened in a specific engagement and is commonly inspected with a `flow_id` filter.
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- Treat `guide`, `answer`, and `code` as reusable knowledge. These document types exist to preserve durable procedures, reusable target notes, Q&A material, and code snippets across future runs.
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- If you want a later flow to begin with known context, store the confirmed result intentionally through `store_guide`, `store_answer`, or `store_code` instead of assuming execution history alone will provide the right reusable context.
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- Current prompt templates already distinguish these roles: reusable guides/code live in vector documents, while Graphiti is intended for episodic memory about what actually happened during execution.
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**Technical Parameters**:
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- **Similarity Threshold**: 0.2 for all vector searches
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- **Result Limits**: 3 documents maximum per search
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