bd78d71dfb
Integrates MemPalace for persistent agent memory across sessions. Agents recall context at session start, store important decisions, and write diary entries at session end. ## What's added agent/memory.py — AgentMemory class: - recall_context(): Load L0/L1 context (diaries, facts, relevant memories) - remember(): Store decisions and facts by room - write_diary(): Auto-generate session summary from transcript - start_session/end_session(): Session lifecycle management - Graceful degradation when MemPalace unavailable agent/memory_hooks.py — Drop-in session lifecycle hooks: - on_session_start(): Load context, return prompt block - on_user_turn/on_agent_turn/on_tool_call(): Record transcript - on_important_decision(): Store key decisions for long-term memory - on_session_end(): Write diary, clean up bin/memory_mine.py — Mine session transcripts into MemPalace: - Parse JSONL session files - Generate compact summaries - Batch mining with --days filter - Dry run mode tests/test_agent_memory.py — 31 tests covering: - SessionTranscript (create, turns, truncation, summary) - MemoryContext (empty, loaded, prompt formatting) - AgentMemory (create, factory, graceful degradation, lifecycle) - MemoryHooks (full lifecycle, before/after session guards) - Session mining (parse, summarize, find files, dry run) - Full lifecycle integration test ## Usage
22 lines
621 B
Python
22 lines
621 B
Python
"""
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agent — Cross-session agent memory and lifecycle hooks.
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Provides persistent memory for agents via MemPalace integration.
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Agents recall context at session start and write diary entries at session end.
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Modules:
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memory.py — AgentMemory class (recall, remember, diary)
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memory_hooks.py — Session lifecycle hooks (drop-in integration)
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"""
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from agent.memory import AgentMemory, MemoryContext, SessionTranscript, create_agent_memory
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from agent.memory_hooks import MemoryHooks
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__all__ = [
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"AgentMemory",
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"MemoryContext",
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"MemoryHooks",
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"SessionTranscript",
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"create_agent_memory",
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]
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