autonomous-agent-harness
SolidTransform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.
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Quality Score: 96/100
Skill Content
Details
- Author
- affaan-m
- Repository
- affaan-m/everything-claude-code
- Created
- 4 months ago
- Last Updated
- yesterday
- Language
- JavaScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
autonomous-agent-harness
Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.
harness
Cybernetics-based multi-agent orchestration for complex tasks. Coordinates a Planner → Generator → Evaluator → Retro pipeline with clean-context sub-agents, per-checkpoint drift prevention, and persistent retro learning. Recommended workflow: Claude Code plans the spec (Session 1), Codex executes autonomously (Session 2), Claude CLI reviews as cross-model peer. Use when: "harness this task", "use harness", "orchestrate this", "harness plan", "harness continue", "harness execute <task-id>", "harness <spec-name>", or when a task requires structured multi-agent coordination.
harness-engineering
Design the harness — the 7-layer scaffolding around the LLM loop that makes agents reliable. Covers the agent loop itself (gather/act/verify), context management, durable execution, guardrails, human-in-the-loop, evals, and observability. In production agents, the harness is 98% of the code. Use whenever the user is structuring code around an agent loop, asks "how do I make this reliable / production-ready," is implementing verification, retry logic, sub-agent delegation, permission systems, approval gates, or wants to understand what makes Claude Code / Codex / Devin work beyond the model.
agentic-os
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.
harness-engineering
Design runtime infrastructure around AI agents — permissions, tools, feedback loops, observability. Use when deploying agents to production or designing multi-agent systems.