Agentlas OS
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
Filament plugins, Laravel packages and open source starter kits actively maintained. All MIT, with releases for v3, v4 and v5 where applicable.
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
An open taxonomy and scoring framework for evaluating AI agent sandboxes: 7 defense layers, 7 threat categories, 3 evaluation dimensions, 27 "sandboxes" scored.
Quant AI and trading AI skills for quant agents and AI trading agents: causal market analysis, investment research, trading strategy discovery, alpha discovery, backtesting, and validation with Abel.
LLM agent harness with versioned prompts, runtime guardrails, automated evals and a CI quality gate. Runs offline with no API key.
All packages have CI, Pest tests and open issues tagged good first issue.
New version available.