@agentforge/core

@agentforge/core

Core abstractions for AgentForge - production-ready framework for building deep agents with LangGraph

🎉 Status: Production Ready & Published

All features complete | 500+ tests passing | Full TypeScript support | Comprehensive documentation

✨ Features

🛠️ Tool System

• Rich Metadata - Categories, tags, examples, and detailed descriptions
• Fluent Builder API - Easy tool creation with createTool()
• Tool Registry - Centralized management with querying and events
• LangChain Integration - Seamless conversion to/from LangChain tools
• Prompt Generation - Automatic LLM-friendly prompt generation
• 113 tests - Comprehensive test coverage

📊 LangGraph Utilities

• State Management - Type-safe state annotations with Zod validation
• Workflow Builders - Sequential, parallel, and conditional patterns
• Error Handling - Retry, error handling, and timeout utilities
• Subgraph Composition - Reusable subgraph utilities
• Memory & Persistence - Checkpointer and thread management
• Observability - LangSmith integration, metrics, logging, error reporting
• 158 tests - Full coverage of all utilities

� Middleware System

• Composable Middleware - Caching, rate limiting, validation, concurrency control
• Production Presets - Ready-to-use middleware stacks
• Development Tools - Logging, debugging, and testing middleware
• 94 tests - Comprehensive middleware testing

🌊 Streaming & Real-time

• Stream Transformers - Filter, map, batch, debounce, throttle
• Stream Aggregators - Collect, reduce, window operations
• SSE Support - Server-Sent Events for real-time updates
• WebSocket Support - Bidirectional streaming
• Progress Tracking - Monitor long-running operations
• 68 tests - Full streaming coverage

🛠️ Advanced Tools

• Async Execution - Parallel and sequential tool execution
• Lifecycle Management - Setup, teardown, and cleanup hooks
• Tool Composition - Combine tools into pipelines
• Testing Utilities - Mock tools and test helpers

📦 Resource Management

• Connection Pooling - Efficient resource reuse
• Memory Management - Automatic cleanup and limits
• Batch Processing - Efficient bulk operations
• Circuit Breaker - Fault tolerance and resilience

� Monitoring

• Health Checks - System and component health monitoring
• Profiling - Performance metrics and bottleneck detection
• Alerts - Configurable alerting system
• Audit Logging - Comprehensive activity tracking

🚀 Deployment

• Docker Support - Production-ready containers
• Kubernetes - Deployment manifests and guides
• CI/CD Templates - GitHub Actions, GitLab CI
• Configuration Management - Environment-based config

Installation

pnpm add @agentforge/core

Quick Start

Tool System

import { createTool } from '@agentforge/core';
import { z } from 'zod';

const weatherTool = createTool({
  name: 'get_weather',
  description: 'Get current weather for a location',
  schema: z.object({
    location: z.string().describe('City name'),
    units: z.enum(['celsius', 'fahrenheit']).optional()
  }),
  execute: async ({ location, units = 'celsius' }) => {
    // Implementation
    return { temperature: 22, units, location };
  }
});

LangGraph Workflow Builders

import { createSequentialWorkflow, withRetry } from '@agentforge/core';
import { z } from 'zod';

// Create a sequential workflow
const workflow = createSequentialWorkflow(AgentState, [
  { name: 'fetch', node: fetchNode },
  { name: 'process', node: processNode },
  { name: 'save', node: saveNode },
]);

// Add error handling
const robustNode = withRetry(myNode, {
  maxAttempts: 3,
  backoff: 'exponential',
});

const app = workflow.compile();

Documentation

📚 Full Documentation

Core Guides

• Getting Started
• Core Concepts
• API Reference

Tutorials

• Building Your First Agent
• Creating Custom Tools
• Advanced Patterns

Examples

See the examples documentation for complete working examples.

Development

# Build
pnpm build

# Watch mode
pnpm dev

# Run tests
pnpm test

# Type check
pnpm typecheck

🔗 Links

• GitHub Repository
• npm Package
• Changelog - See what's new before upgrading
• Report Issues

License

MIT © 2026 Tom Van Schoor