proactive-agent

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Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer for context survival, Compaction Recovery, and battle-tested security patterns. Part of the Hal Stack 🦞

AI & Automation 368 stars 73 forks Updated 6 days ago Apache-2.0

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Skill Content

# 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 --- ## The Three Pillars **Proactive — creates value without being asked** ✅ **Anticipates your needs** — Asks "what would help my human?" instead of waiting ✅ **Reverse prompting** — Surfaces ideas you didn't know to ask for ✅ **Proactive check-ins** — Monitors what matters and reaches out when needed **Persistent — survives context loss** ✅ **WAL Protocol** — Writes critical details BEFORE responding ✅ **Working Buffer** — Captures every exchange in the danger zone ✅ **Compaction Recovery** — Knows exactly how to recover after context loss **Self-improving — gets better at serving you** ✅ **Self-healing** — Fixes its own issues so it can focus on yours ...

Details

Author
1mancompany
Repository
1mancompany/OneManCompany
Created
5 months ago
Last Updated
6 days ago
Language
Python
License
Apache-2.0

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