Joey Yakimowich-Payne
ed0361f97c
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-opencode) Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
78 lines
1.8 KiB
TOML
78 lines
1.8 KiB
TOML
# Mnemosyne configuration
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# Copy this to your working directory and customize.
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[proxy]
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host = "127.0.0.1"
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port = 0 # 0 = random free port
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upstream = "https://api.anthropic.com"
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[paging]
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window_size = 200000
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enable_paging = true
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enable_trim = true
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age_threshold = 4
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min_evict_size = 500
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[fidelity]
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# Pressure zone thresholds (as fraction of window_size)
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normal_max = 0.50
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caution_max = 0.70
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warning_max = 0.85
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critical_max = 0.95
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# Above critical_max = emergency zone
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# Fidelity degradation settings
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pin_duration_turns = 5 # How long a faulted object stays pinned
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min_age_for_degrade = 3 # Don't degrade objects from the last N turns
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[helper_llm]
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model = "claude-haiku-4-5-20251001"
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# If empty, uses ANTHROPIC_API_KEY env var
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api_key = ""
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base_url = "https://api.anthropic.com"
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timeout_seconds = 10
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max_retries = 2
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# Max tokens for summary generation
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max_summary_tokens = 1024
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max_compact_tokens = 256
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max_stub_tokens = 64
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max_micro_fault_tokens = 200
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max_goal_tokens = 128
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[object_store]
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# "memory" for in-memory only (Phase 1-2)
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# "sqlite" for local file (Phase 2+)
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# "postgresql" for full backing store (Phase 3+)
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backend = "memory"
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[object_store.sqlite]
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path = "mnemosyne.db"
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[object_store.postgresql]
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host = "localhost"
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port = 5433
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database = "mnemosyne"
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user = "mnemosyne"
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password = "mnemosyne_dev"
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[embeddings]
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model = "all-MiniLM-L6-v2"
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dimension = 384
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# Use ONNX runtime for faster inference
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use_onnx = true
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[admission]
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enabled = false # Enable in Phase 4d
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threshold = 0.4
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weight_type = 0.35
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weight_novelty = 0.25
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weight_utility = 0.25
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weight_recency = 0.15
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[entropy]
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enabled = false # Enable in Phase 4e
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normal_max = 1.5
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elevated_max = 2.2
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# Above elevated_max = high entropy
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window_size = 20 # Rolling window of tokens for entropy calculation
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debounce_count = 3 # Require N consecutive high-entropy tokens
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