Playbooks AI
Welcome to software 3.0

LLM is the new CPU.Program AI Agentsin English.

Step-debug through LLM prompts! Build reliable multi-agent systems combining English and Python code on the same call stack, and deploy with full observability, reliability and security.
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Open Standard

Playbooks Language

Plain English, with a hint of markdown. No complex syntax to learn.
If you can write instructions for a human, you can write a Playbooks program.

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Playbooks Debugger
Open Source (MIT License)

Playbooks Runtime

Execute Playbooks programs to get multi-agent systems.
pip install playbooks
Unified Call Stack
English and Python playbooks can call each other on the same stack and share program state seamlessly.
Multi-Agent Meetings
Built-in support for multi-agent interactions like having multi-party meetings and collaborative sessions.
Memory Layers
Scratchpad for short-term memory, artifacts for long-term memory, and stack-based automated LLM context management.
Semantic Triggers
Event-driven execution based on semantic conditions and intelligent context switching.
Open Standard

Playbooks Assembly Language

A standard that defines how to annotate natural language programs for reliable execution on LLMs. A semantic compiler transforms Playbooks programs into Playbooks Assembly Language.

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Playbooks Compiler
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Playbooks Debugger
Free to install and use

Playbooks Debugger

VSCode extension that lets you step-debug through your English programs like traditional code. Use breakpoints, inspect variables and navigate call stack.
Finally, you can step-debug through LLM prompts!
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Playbooks Debugger
Commercial License

PlaybooksLM

For Enterprise deployments, instead of using third party frontier models like Claude, use PlaybooksLM hosted within your infrastructure or hosted on Playbooks Cloud (coming soon).

10x
Faster Execution
Token throughput vs Claude Sonnet 4.0
10x
Lower Costs
Inference costs vs Claude Sonnet 4.0
Higher Reliability
For Playbooks execution
On-Premise
Complete deployment control
Commercial License

Enterprise

Enterprise-grade multi-agent system with compliance, security, scalability, and observability.

Security & Scalability
On-premise deployment and SLM-based execution
Full Observability
LangFuse compatible, audit trails, and execution tracing
Framework Integration
Works with LangGraph, Google ADK, Autogen, and MCP
Unlock Enterprise Capabilities
Contact Sales
Join the revolution

Build somethingmagical withPlaybooks!

Amol Kelkar (Founder, Playbooks AI)
Get Started NowView on GitHub