llm-agent-playbook
PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 21 Aug 2026. How this is checked
llm-agent-playbook is an MIT-licensed command-line package for driving Claude Code, Codex, and Gemini CLIs from YAML-defined workflows. It supports verification and repair loops, usage budgets, cross-agent fallback, and unattended coding automation for developers.
Inferred · not functionally tested
Overview
6 featuresPurpose: Running unattended AI coding workflows with verification, repair, budgeting, and fallback across multiple coding agents.
Inferred · not functionally tested
Audience: developers automating AI-assisted coding workflows
Inferred · not functionally tested
Functions: code_generation, agents, workflow_automation
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
In the CLI tools & terminal space, llm-agent-playbook takes a focused approach. Inferred · not functionally tested: It focuses on running unattended AI coding workflows with verification, repair, budgeting, and fallback across multiple coding agents. Inferred · not functionally tested: llm-agent-playbook is an open-source project aimed at developers automating AI-assisted coding workflows. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.
Behind llm-agent-playbook is Glaxor, and it first shipped in 2026. Development happens publicly on GitHub with 14 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are YAML playbooks, CLI orchestration, and verify loops.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- YAML playbooks
- CLI orchestration
- Verify loops
- Repair loops
- Usage budgets
- Cross-agent fallback
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed21 Aug · 18:02 UTCllm-agent-playbook seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about llm-agent-playbook
- What does llm-agent-playbook do?
- Inferred · not functionally tested: Llm-agent-playbook focuses on running unattended AI coding workflows with verification, repair, budgeting, and fallback across multiple coding agents. It is catalogued under CLI tools & terminal on PulseGate.
- Who is llm-agent-playbook for?
- Inferred · not functionally tested: llm-agent-playbook is an open-source project built for developers automating AI-assisted coding workflows.
- Does llm-agent-playbook have a free plan?
- Basis unknown · not verified: Yes — llm-agent-playbook is open source under the MIT license and free to use.
- What platforms does llm-agent-playbook run on?
- Basis unknown · not verified: llm-agent-playbook runs on the command line. It can also be self-hosted.
- Is llm-agent-playbook still maintained?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 14 commits in the last 90 days.
- What are alternatives to llm-agent-playbook?
- Similar projects tracked by PulseGate include ai-playbook, agent-boilerplate, and llm-coding-agent.ai-playbookagent-boilerplatellm-coding-agent
- Who develops llm-agent-playbook?
- llm-agent-playbook is developed by Glaxor.
- How long has llm-agent-playbook been around?
- llm-agent-playbook first shipped in 2026.
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