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3cd384dc43
Add a comprehensive self-evolution system that enables Hermes Agent to continuously improve through automated analysis and optimization: Core components: - reflection_engine: Nightly session analysis (1:00 AM) - evolution_proposer: Generate improvement proposals from insights - quality_scorer: Multi-dimensional session quality evaluation - strategy_injector: Inject learned strategies into new sessions - strategy_compressor: Strategy optimization and deduplication - git_analyzer: Code change pattern analysis - rule_engine: Pattern-based rule generation - feishu_notifier: Feishu card notifications for evolution events Storage: - db.py: SQLite telemetry storage - strategy_store: Persistent strategy storage - models.py: Data models Plugin integration: - plugin.yaml, hooks.py, __init__.py for plugin system - cron_jobs.py for scheduled tasks Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
"""
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Self Evolution Plugin
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=====================
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Agent self-optimization and continuous evolution system.
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Architecture:
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- Telemetry: collects tool/session data via hooks
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- Quality Scorer: evaluates session outcomes
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- Dream Engine: nightly reflection at 1:00
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- Evolution Proposer: generates improvement proposals
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- Feishu Notifier: pushes proposals at 19:00 for user approval
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- Evolution Executor: applies approved changes with rollback support
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- Strategy Injector: injects learned hints into sessions
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Design references from Claude Code:
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- conversation-analyzer (hookify): dream analysis pattern
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- Ralph Wiggum: iterative evolution with rollback
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- learning-output-style: session-start strategy injection
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- rule_engine (hookify): conditional strategy matching
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"""
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from __future__ import annotations
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import logging
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logger = logging.getLogger(__name__)
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def register(ctx) -> None:
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"""Plugin entry point — called by Hermes PluginManager.
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Registers:
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- 3 hooks: post_tool_call, on_session_end, pre_llm_call
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- 3 slash commands: /evolve, /reflect, /evolution_status
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"""
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from self_evolution.db import init_db
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init_db()
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from self_evolution.hooks import register_all as register_hooks
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register_hooks(ctx)
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logger.info("self_evolution plugin loaded: 3 hooks, telemetry active")
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