proactive-agent

SKILL.md

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 🦞

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