dsh-hindsight-memory

Configuration

Key	Default	Description
venvPython	F:\Hermes\HERMES_HOME\hermes-agent\venv\Scripts\python.exe	Python with hindsight_embed installed
configJson	F:\Hermes\HERMES_HOME\hindsight\config.json	JSON with llm_api_key / llm_base_url / llm_model (source of the DeepSeek key; never hardcoded)
llmBaseUrl / llmModel / llmProvider	DeepSeek defaults	Embedding endpoint; deepseek/openai_compatible/openrouter map to openai
profile	deepseek	Hindsight profile name (own daemon port + PG instance + bank)
bank	= profile	Bank id used by retain/recall/reflect
autoRecall	false	Inject relevant memories before each agent step
recallTypes	["observation","experience","world"]	Fact types searched
recallLimit	4	Max memories per recall
recallMinUserChars	20	Min user-message length before auto-recall triggers
recallBudgetTokens	1200	Token budget for auto-recall injection

Usage

The model calls the tools directly. Example retention policy (mirrors a self-evolution protocol):

• Retain after complex tasks (5+ tool calls), after resolving a pitfall, when the user expresses a durable preference, or after key design decisions.
• Recall at the start of complex tasks, when the user references past work, or when a situation smells like a repeat.