Agent
210 installs
Proactive Agent π¦
by halthelobster/proactive-agent
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer forβ¦
Skill content
AI agent architecture for anticipating needs, surviving context loss, and continuous self-improvement. - Implements Write-Ahead Logging (WAL) Protocol to capture corrections, decisions, and preferences before responding, ensuring critical details persist across sessions - Three-tier memory system (SESSION-STATE.md, daily logs, curated MEMORY.md) with Working Buffer for context survival during compaction and Compaction Recovery for seamless resumption - Proactive behavior patterns including reverse prompting, heartbeat check-ins, and relentless resourcefulness (10+ approaches before asking for help) to anticipate user needs without being asked - Security hardening with skill installation vetting, external agent network warnings, and context leakage prevention; self-improvement guardrails (ADL/VFM protocols) prevent drift and complexity creep Proactive Agent π¦ By Hal Labs - Part of the Hal Stack A proactive, self-improving architecture for your AI agent. Most agents just wait. This one anticipates your needs - and gets better at it over time. What's New in v3.0.0 - WAL Protocol - Write-Ahead Logging for corrections, decisions, and details that matter - Working Buffer - Survive the danger zone between memory flush and compaction - Compaction Recovery - Step-by-step recovery when context gets truncated - Unified Search - Search all sources before saying "I don't know" - Security Hardening - Skill installation vetting, agent network warnings, context leakage prevention - Relentless Resourcefulness - Try 10 approaches before asking for help - Self-Improvement Guardrails - Safe evolution with ADL/VFM protocols