ENGINEERING
AUTONOMY.
Building reliable, deterministic, and high-performance Agentic Loopsthrough standardized protocols and verifiable architectural patterns.
const agent = new AutonomousAgent({
protocol: MCP_V1,
policy: StrictReasoning,
capabilities: [FileOps, Network]
});
// Initialize ReAct reasoning loop
await agent.execute(Analyze Architecture);
Documentation System
Repository Index
Fundamentals
0x0AFoundational concepts: LLM constraints, token management, and inference engineering.
- Token Efficiency
- Context Management
- Prompt Mechanics
Agent Architecture
0x0BArchitectural blueprints for autonomous systems, multi-agent coordination, and memory.
- Stateful Workflows
- Agent Swarms
- Tool-Calling Loops
Protocols & Patterns
0x0CImplementation details for MCP (Model Context Protocol), ReAct loops, and PAE.
- MCP Specs
- ReAct Framework
- PAE Determinism
Engineering Examples
0x0DDirect code references for TypeScript, Node.js, and browser-based AI integrations.
- MCP Client
- Streaming API
- JSON Evals
Best Practices
0x0EInsights on reliability, latency optimization, and automated evaluation suites.
- Error Recovery
- Latency Budget
- Unit Testing
Ops & Deployment
0x0FCI/CD for prompts, environment isolation, and production monitoring for agents.
- Prompt Versioning
- Observability
- Cost Monitoring
The Core Protocols
Engineering over Hype
We prioritize measurable implementation details over marketing buzzwords.
Code is the Truth
Every documentation entry is accompanied by production code examples.
Incremental Evolution
This repository grows with the AI landscape, focusing on patterns that endure.