feat: deep-memory plugin — reasoning-based memory with semantic recall - #6114
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RichardHojunJang wants to merge 1 commit into
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feat: deep-memory plugin — reasoning-based memory with semantic recall#6114RichardHojunJang wants to merge 1 commit into
RichardHojunJang wants to merge 1 commit into
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Add deep-memory as an optional plugin toolset. Inspired by Honcho, provides: - recall/learn/entities tools for structured reasoning memory - Post-session automatic insight extraction - System prompt injection of relevant deep memory context - Embedding auto-config (local/openai/fts-only) Install: pip install hermes-agent[deep-memory] Zero impact when not installed (all imports guarded by try/except). Changes: - pyproject.toml: optional dependency - model_tools.py: plugin import in _discover_tools() (+5 lines) - toolsets.py: tool names + toolset definition (+9 lines) - run_agent.py: prompt injection + session hook (+26 lines) - docs/plugins/deep-memory.md: usage guide
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Summary
Adds deep-memory as an optional plugin toolset. Inspired by Honcho, deep-memory provides structured reasoning over conversations, entity tracking, and hybrid semantic + keyword search — all running locally with zero external hosting (SQLite + FTS5 + sqlite-vec).
New Tools
recalllearnentitiesFeatures
Install
No config needed — auto-detection handles everything.
Changes (5 files, +126 lines)
pyproject.tomlmodel_tools.py_discover_tools()toolsets.pyrun_agent.pydocs/plugins/deep-memory.mdZero Impact When Not Installed
All imports are guarded by
try/except ImportError. If deep-memory is not installed, Hermes behaves exactly as before — no errors, no warnings.Tests