AgentForgeEngine — Full Architecture
This diagram shows the entire system: ACP frontend, agent orchestrator, plugin system, backend router, and model runtimes.
┌────────────────────────────────────────┐
│ CODE EDITOR │
│ (VS Code, JetBrains, Neovim, etc.) │
└───────────────▲───────────────▲────────┘
│ ACP JSON-RPC │
│ (stdio/TCP) │
│ │
┌───────────────┴───────────────┴────────┐
│ ACP AGENT RUNTIME │
│ (AgentForgeEngine) │
├─────────────────────────────────────────┤
│ LAYERS │
│ │
│ 1. ACP Frontend │
│ • JSON-RPC server │
│ • Handles ACP methods: │
│ initialize, capabilities, │
│ requestCompletions, requestEdits, │
│ requestExplanation, tool calls │
│ │
│ 2. Session & Context Manager │
│ • Tracks open files, ranges, │
│ conversation history, tool state │
│ │
│ 3. Agent Orchestrator │
│ • Selects which agent(s) to invoke │
│ • Multi-agent workflows │
│ • Routes ACP → agent plugins │
│ │
│ 4. Agent Plugin Registry │
│ • Global registry of agents │
│ • Agents register via init() │
│ agent.Register("name", factory) │
│ │
│ 5. Backend Router │
│ • Unified Backend interface: │
│ Generate(ctx, Prompt) Stream │
│ • Routes to: │
│ OllamaBackend │
│ LlamaCPPBackend │
│ VLLMBackend │
│ LocalAIBackend │
│ JanBackend │
│ │
│ 6. Tool Runtime │
│ • Executes tools (file ops, tests, │
│ search, shell, etc.) │
│ • Bridges ACP toolCall <-> result │
└───────────────▲───────────────▲────────┘
│ │
│ │
┌───────────────────────────────┘ └───────────────────────────────┐
│ │
│ │
┌──────────┴───────────┐ ┌────────────┴───────────┐
│ AGENT PLUGIN LAYER │ │ BACKEND RUNTIME LAYER │
│ (Go modules via │ │ (Model backends) │
│ agents.yaml) │ └─────────────────────────┤
├──────────────────────┤ │ │
│ agents.yaml │ │ Ollama │
│ ─────────── │ │ • /api/chat │
│ agents: │ │ • SSE streaming │
│ - name: refactor │ │ │
│ repo: github.com/│ │ llama.cpp │
│ user/refactor │ │ • llama-server / CLI │
│ - name: tests │ │ │
│ repo: github.com/│ │ vLLM │
│ user/tests │ │ • OpenAI /v1 API │
│ - name: docgen │ │ │
│ repo: github.com/│ │ LocalAI │
│ user/docgen │ │ • OpenAI /v1 API │
├──────────────────────┤ │ │
│ Build Tool │ │ Jan │
│ • Reads agents.yaml │ │ • Local runtime + API │
│ • Generates: │ │ │
│ plugins.go │ └─────────────────────────┘
│ import _ "github.com/user/refactor" (All accessed via Backend
│ import _ "github.com/user/tests" interface from runtime)
│ import _ "github.com/user/docgen"
└──────────▲───────────┘
│
│ init() registration
│
┌──────────┴───────────────────────────────────────────────────────────────────────────────┐
│ INDIVIDUAL AGENT PLUGINS │
├──────────────────────────────────────────────────────────────────────────────────────────┤
│ Example: refactor-agent │
│ • package refactor │
│ • func init() { agent.Register("refactor", NewRefactorAgent) } │
│ • type RefactorAgent struct { Backend Backend } │
│ • func (a *RefactorAgent) Handle(ctx, req) → uses Backend.Generate │
│ │
│ Example: tests-agent │
│ • Registers "tests" agent │
│ • Calls Backend to generate tests, uses Tool Runtime to run them │
│ │
│ Example: docgen-agent │
│ • Registers "docgen" agent │
│ • Generates documentation from code using Backend │
└──────────────────────────────────────────────────────────────────────────────────────────┘
AgentForge Project Comprehensive Report
Executive Summary
AgentForge Engine is a sophisticated modular agent framework written in Go that provides a bridge between offline language models (llama.cpp, Ollama) and dynamically loadable agents. The system implements a plugin-based architecture with hot-reload capabilities, comprehensive configuration management, and built-in fault tolerance mechanisms. This report provides a comprehensive technical analysis of the project’s architecture, implementation quality, and deployment considerations.
1. Project Overview
1.1 Purpose and Scope
AgentForge Engine serves as an intermediary layer that: - Manages connections to multiple language model backends - Dynamically loads and executes agent plugins from local or remote sources - Provides hot-reload and recovery capabilities for high availability - Offers a unified CLI interface for system management
1.2 Key Features
- Hybrid Model Support: HTTP and WebSocket connections to llama.cpp and Ollama
- Dynamic Plugin Loading: Runtime compilation and loading of agents from GitHub repositories
- Fault Tolerance: Automatic recovery with exponential backoff
- Configuration Management: YAML-based configuration with hot-reload watching
- Built-in Agents: Task execution and file system agents included
- CLI Management: Complete lifecycle management via command-line interface
2. Technical Architecture
2.1 System Architecture
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ CLI Layer │ │ Config Manager │ │ Recovery System│
│ (cmd/) │ │ (config/) │ │ (recovery/) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │ │
└───────────────────────┼───────────────────────┘
│
┌─────────────────────────────────┼─────────────────────────────────┐
│ Core Engine Layer │
│ (internal/) │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────────────┐ │
│ │ Models │ │ Loader │ │ Interfaces │ │
│ │ Manager │ │ Manager │ │ (pkg/interfaces/) │ │
│ └─────────────┘ └─────────────┘ └─────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
│
┌───────────────────────┼───────────────────────┐
│ │ │
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Task Agent │ │ File Agent │ │ Remote Agents │
│ (task-agent/) │ │ (file-agent/) │ │ (GitHub) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
2.2 Design Patterns Implemented
Plugin Architecture Pattern - Dynamic loading using Go’s plugin package - Runtime compilation of .so shared objects - Support for both local and remote agent sources
Interface Segregation Principle
- Clean separation through well-defined interfaces
- Each component has minimal, focused responsibilities
- Agent, Model, PluginManager, ConfigManager interfaces
Strategy Pattern - Model abstraction supporting HTTP and WebSocket - Different handling strategies for different model backends
Observer Pattern - Configuration watching with fsnotify - Hot-reload capabilities with recovery monitoring
3. Component Analysis
3.1 Core Components
Configuration Manager (internal/config/)
Responsibilities: - Centralized configuration management using Viper - YAML-based configuration with default values - Hot-reload watching with file system notifications
Configuration Structure:
server: # HTTP server settings
models: # Language model connections
agents.local: # Local agent plugins
agents.remote: # Remote GitHub agents
recovery: # Fault tolerance settings
Key Features: - Config validation and default value injection - Real-time configuration watching and reloading - Graceful handling of missing configuration files
Model Manager (internal/models/)
Abstraction Layer:
- HTTPModel: Handles llama.cpp-style HTTP APIs
- WebSocketModel: Manages Ollama WebSocket connections
- Unified interface for different model types
Capabilities: - Health checks and connection validation - Request/response transformation - Configurable timeouts and retry mechanisms
Plugin Loader (internal/loader/)
Dynamic Loading Features: - Local agent compilation and loading - Remote GitHub repository cloning and building - Agent registry management with health monitoring - Compatibility validation for loaded plugins
Build Process:
go build -buildmode=plugin -o plugins/agent.so ./path/to/agent
Recovery System (internal/recovery/)
Fault Tolerance Mechanisms: - Exponential backoff retry with configurable limits - Health monitoring with configurable intervals - Automatic agent reloading on failure detection - Status tracking and reporting
Recovery Configuration:
recovery:
hot_reload: true
max_retries: 3
backoff_sec: 5
health_check: 30
3.2 Built-in Agents
Task Agent (agents/task-agent/)
Purpose: Execute system commands and manage background tasks
Operations:
- execute: Run commands with concurrent limits
- status: Check task execution status
- list: List all active and completed tasks
- cancel: Cancel running tasks
Features: - Concurrent task management with configurable limits - Context-based timeout handling - Task lifecycle management with status tracking
File Agent (agents/file-agent/)
Purpose: Secure file system operations
Operations:
- read: Read files with extension and size validation
- write: Write files with security checks
- list: Directory listing with file information
- exists: File existence checking
- delete: Secure file deletion
- info: File metadata retrieval
Security Features: - Extension whitelisting for allowed file types - Configurable file size limits - Sandboxed directory access
4. Technology Stack
4.1 Dependencies
Core Runtime: Go 1.21+ - Modern Go features and performance optimizations - Native plugin system support - Cross-platform compatibility
Key Libraries:
- github.com/spf13/cobra: CLI framework
- github.com/spf13/viper: Configuration management
- github.com/fsnotify/fsnotify: File system watching
Dependency Philosophy: - Minimal external dependencies (only 3 direct) - Well-maintained, production-ready libraries - Preference for standard library solutions
4.2 Build System
Go Native Build System:
# Main executable
go build -o agentforge-engine ./cmd/agentforge
# Agent plugins
go build -buildmode=plugin -o plugins/task-agent.so ./agents/task-agent
go build -buildmode=plugin -o plugins/file-agent.so ./agents/file-agent
Build Features:
- Cross-platform compilation support
- Static linking for deployment simplicity
- Plugin compilation with -buildmode=plugin
- Environment variables for consistent builds (CGO_ENABLED=0)
5. Testing and Quality Assurance
5.1 Test Coverage
Test Files Analysis:
- internal/config/manager_test.go: 114 lines
- internal/models/manager_test.go: 234 lines
- internal/recovery/manager_test.go: 160 lines
- internal/loader/manager_test.go: 213 lines
- agents/task-agent/main_test.go: 268 lines
- agents/file-agent/main_test.go: 396 lines
Total Test Code: ~1,400 lines Total Production Code: ~1,500 lines Test-to-Code Ratio: ~90% (Excellent)
5.2 Testing Strategies
Unit Testing: - Comprehensive component testing - Mock objects for external dependencies - Table-driven tests for multiple scenarios
Integration Testing: - End-to-end agent functionality verification - Plugin loading and execution testing - Configuration loading and validation
Property-Based Testing: - Error handling and edge case coverage - Concurrency testing for task management - File system operations with temporary directories
5.3 Quality Metrics
Code Quality Assessment: - Architecture Quality: 9⁄10 (Excellent) - Code Maintainability: 8⁄10 (Very Good) - Error Handling: 7⁄10 (Good) - Testing Quality: 8⁄10 (Very Good)
Technical Debt: Low - Well-structured codebase - Consistent coding patterns - Comprehensive test coverage - Clear separation of concerns
6. Security Analysis
6.1 Current Security Measures
File System Security: - Extension whitelisting in File Agent - Configurable file size limits - Directory sandboxing with working directory restrictions - Permission validation before operations
Plugin Security: - Interface verification through type checking - Plugin isolation in separate address spaces - Go module validation for dependencies
Network Security: - HTTPS endpoint support for model connections - Configurable request timeouts - Connection validation via health checks
6.2 Security Recommendations
Enhanced Plugin Security: - Implement plugin signing and verification - Add resource limits for plugin execution - Consider sandboxed plugin execution environments
Access Control: - Add authentication/authorization for agent access - Implement role-based access control (RBAC) - Add comprehensive audit logging
Input Validation: - Enhanced input sanitization for all agent inputs - Rate limiting for API endpoints - Request size limitations
7. Performance Characteristics
7.1 Performance Features
Concurrency Model: - Goroutine-based concurrent task execution - Non-blocking I/O for network operations - Context-based cancellation for resource management
Memory Management: - Efficient Go garbage collector - Static typing eliminates runtime overhead - Minimal memory footprint for core engine
Network Optimization: - HTTP/1.1 with keep-alive connections - Configurable timeouts and retry mechanisms - Efficient JSON serialization
7.2 Scalability Considerations
Horizontal Scaling: - Distributed agent deployment support - Load balancing across model instances - Configurable concurrency limits
Resource Management: - Connection pooling for HTTP clients - Efficient plugin loading with build caching - Context-based timeout handling
8. Deployment and Operations
8.1 Deployment Architecture
Single-Binary Deployment:
agentforge-engine # Main executable
configs/agentforge.yaml # Configuration file
plugins/*.so # Agent plugins
Runtime Requirements: - Go runtime for plugin compilation - Git for remote agent loading - Network access to model endpoints - File system permissions for plugin directory
8.2 Configuration Management
Configuration Features: - YAML-based configuration with validation - Environment variable override support - Hot-reload capabilities with file watching - Default value injection
Example Configuration:
server:
host: "localhost"
port: 8080
models:
- name: "llamacpp"
type: "http"
endpoint: "http://localhost:8081"
- name: "ollama"
type: "websocket"
endpoint: "ws://localhost:11434"
agents:
local:
- name: "task-agent"
path: "./agents/task-agent"
- name: "file-agent"
path: "./agents/file-agent"
remote:
- name: "code-assistant"
repo: "github.com/user/agent-code-assistant"
version: "latest"
recovery:
hot_reload: true
max_retries: 3
backoff_sec: 5
health_check: 30
8.3 CLI Operations
Available Commands:
# Start AgentForge Engine
./agentforge-engine start [--config path/to/config.yaml]
# Stop running instance
./agentforge-engine stop
# Check system status
./agentforge-engine status
# Reload agents
./agentforge-engine reload [--agent agent-name]
9. Development Guide
9.1 Agent Development
Interface Implementation:
type Agent interface {
Name() string
Initialize(config map[string]interface{}) error
Process(ctx context.Context, input AgentInput) (AgentOutput, error)
HealthCheck() error
Shutdown() error
}
Plugin Export:
// Export the agent for plugin loading
var Agent interfaces.Agent = NewMyAgent()
9.2 Model Integration
Model Interface:
type Model interface {
Name() string
Type() ModelType
Initialize(config ModelConfig) error
Generate(ctx context.Context, req GenerationRequest) (*GenerationResponse, error)
HealthCheck() error
Shutdown() error
}
10. Recommendations and Future Enhancements
10.1 Immediate Improvements
Security Enhancements: 1. Implement plugin signing and verification 2. Add authentication/authorization mechanisms 3. Enhance input validation and sanitization
Monitoring and Observability: 1. Add performance metrics collection 2. Implement structured logging 3. Add health check endpoints for external monitoring
Documentation: 1. Expand API documentation 2. Add more development examples 3. Create troubleshooting guides
10.2 Long-term Roadmap
Advanced Features: 1. Distributed agent coordination 2. Agent composition and chaining 3. Web-based management interface 4. Plugin marketplace integration
Enterprise Features: 1. Multi-tenant support 2. Advanced security controls 3. Compliance and auditing features 4. Enterprise integration capabilities
11. Conclusion
AgentForge Engine represents a well-engineered, production-ready framework for agent management and language model integration. The project demonstrates excellent software engineering practices with:
- Clean Architecture: Well-structured modular design with clear separation of concerns
- High Quality Code: Comprehensive testing, consistent patterns, and good documentation
- Pragmatic Technology Choices: Go’s performance and concurrency features effectively utilized
- Extensible Design: Plugin architecture enables flexible agent deployment
- Production Ready: Fault tolerance, configuration management, and operational tools
The system is suitable for immediate deployment in production environments with the recommended security enhancements. The minimal dependency approach and native Go implementation provide excellent performance characteristics and deployment simplicity.
The plugin architecture and hot-reload capabilities offer excellent extensibility for future growth, while the clean interface design ensures maintainability and development flexibility. AgentForge Engine successfully balances complexity with usability, making it an excellent foundation for building sophisticated agent-based systems.
Report Generated: February 3, 2026 Project Version: Current main branch Analysis Scope: Complete codebase including all components, tests, and documentation