proactive-agent
Installation
Summary
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
SKILL.md
Proactive Agent 🦞
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