dwa10 0.1.0

Indestructible memory system for any LLM — priority anchors, decay, context packing.

dwa10-memory

Indestructible memory for Claude. Stop losing context mid-conversation.

pip install dwa10-memory

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The problem

Claude forgets everything after ~20 messages. Long conversations lose critical facts. Every new session starts from zero.

The solution

dwa10-memory wraps the Anthropic SDK with a priority-based anchor engine. Important facts survive the entire session — automatically.

from dwa10 import DWASession

session = DWASession()  # uses ANTHROPIC_API_KEY env var

session.chat("My name is Sarah and my budget is $5,000")
session.chat("I prefer minimal, modern design")
# ... 40 messages later ...
response = session.chat("What laptop should I buy?")
# Claude STILL knows: Sarah, $5,000, minimal design ✓

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How it works

Every message runs a 3-step cycle:

1. Pre-call — decay old anchors, score by utility density, inject top-K into context
2. Post-call — extract new anchors from response (heuristic NER + patterns)
3. Summary check — compress low-priority anchors at message 15 or 70% window usage

Anchor priority classes

Class	Meaning	Decay
P0	Critical — never forget	None
P1	Important — keep active	Slow
P2	Useful — archive when full	Fast

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API

from dwa10 import DWASession, Anchor

# Basic chat
session = DWASession(api_key="sk-...", model="claude-sonnet-4-20250514")
response = session.chat("Hello!")

# Manual anchoring (exact, always remembered)
session.anchor("User is a senior Python developer", class_="P0")
session.anchor("Project deadline: June 2026", class_="P1")

# Memory stats
print(session.memory_stats())
# {'core': 5, 'archival': 2, 'total': 7, 'message_count': 12}

# Export memory (on demand)
session.save("my_session")          # writes my_session.json + my_session.md
md = session.export_markdown()      # get markdown string
data = session.export_json()        # get dict

# Load memory into new session
new_session = DWASession()
new_session.load("my_session")      # restores all anchors

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What's free vs Pro

Feature	Free (dwa10-memory)	Pro (zulfr.com)
In-session anchor memory	✅	✅
P0/P1/P2 priority classes	✅	✅
Utility-density context packing	✅	✅
Rolling summaries	✅	✅
Manual export/import	✅	✅
LLM-assisted extraction	❌	✅
Cross-session auto-persistence	❌	✅
Multi-agent memory sharing	❌	✅
Dependency graph	❌	✅
Audit logs + team memory	❌	✅ (Corporate)

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Requirements

• Python ≥ 3.9
• anthropic SDK ≥ 0.40.0
• Anthropic API key

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License

Apache 2.0 © 2026 Usman Zafar Ph.D www.zulfr.com