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feat(honcho): add honcho_conclude tool for writing facts back to memory

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New tool lets Hermes persist conclusions about the user (preferences,
corrections, project context) directly to Honcho via the conclusions
API. Feeds into the user's peer card and representation.
This commit is contained in:
Erosika 2026-03-09 17:55:31 -04:00
parent c1228e9a4a
commit 792be0e8e3
3 changed files with 95 additions and 7 deletions
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16
run_agent.py
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@ -1595,22 +1595,24 @@ class AIAgent:
)
elif recall_mode == "tools":
honcho_block += (
"Memory tools (most capable first; use cheaper tools when sufficient):\n"
" query_user_context <question> — dialectic Q&A, LLM-synthesized answer\n"
"Memory tools:\n"
" query_user_context <question> — ask Honcho a question, LLM-synthesized answer\n"
" honcho_search <query> — semantic search, raw excerpts, no LLM\n"
" honcho_profile — peer card, key facts, no LLM\n"
" honcho_profile — user's peer card, key facts, no LLM\n"
" honcho_conclude <conclusion> — write a fact about the user to memory\n"
)
else: # auto
else: # hybrid
honcho_block += (
"Honcho context (user representation, peer card, and recent session summary) "
"is pre-loaded into this system prompt below. Use it to answer continuity "
"questions ('where were we?', 'what were we working on?') WITHOUT calling "
"any tools. Only call memory tools when you need information beyond what is "
"already present in the Honcho Memory section.\n"
"Memory tools (most capable first; use cheaper tools when sufficient):\n"
" query_user_context <question> — dialectic Q&A, LLM-synthesized answer\n"
"Memory tools:\n"
" query_user_context <question> — ask Honcho a question, LLM-synthesized answer\n"
" honcho_search <query> — semantic search, raw excerpts, no LLM\n"
" honcho_profile — peer card, key facts, no LLM\n"
" honcho_profile — user's peer card, key facts, no LLM\n"
" honcho_conclude <conclusion> — write a fact about the user to memory\n"
)
honcho_block += (
"Management commands (refer users here instead of explaining manually):\n"