Florian Hartmann
b83546d833
Architecture (Agent 1):
- hermes_memory/tier2/{schema,facts,entities,relations,timeline}.py
- hermes_memory/tier3/{backend,chroma_backend,embedder}.py
- hermes_memory/graph/nx_store.py
- hermes_memory/api/memory_api.py (unified API)
- hermes_memory/cron/{consolidate,embed_queue,graph_refresh,prune}.py
- hermes_memory/config.py + pyproject.toml
Integration Plan (Agent 3):
- INTEGRATION_PLAN.md: Memory Provider Plugin strategy
- Hermes Core needs minimal changes
- sync_turn() + prefetch() hooks
- Skills integration via nextlevel_search/remember
Auto-Extraction (Agent 2):
- ARCHITECTURE.md: Full extraction pipeline docs
- Chunking, Pre-Filter, LLM Prompts, Classification
- Entity-Linking, Temporal Reasoning, Deduplication
All files: Python syntax checked, ECC standards applied.
26 lines
558 B
TOML
26 lines
558 B
TOML
[project]
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name = "hermes-memory-nextlevel"
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version = "0.1.0"
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description = "Mehrschichtiges Memory-Upgrade für Hermes Agent"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"networkx>=3.3",
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]
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[project.optional-dependencies]
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chroma = ["chromadb>=0.5.0"]
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qdrant = ["qdrant-client>=1.9.0"]
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embed = ["sentence-transformers>=3.0.0"]
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all = [
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"chromadb>=0.5.0",
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"qdrant-client>=1.9.0",
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"sentence-transformers>=3.0.0",
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"networkx>=3.3",
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]
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[build-system]
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requires = ["setuptools>=61.0"]
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build-backend = "setuptools.build_meta"
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