Expand description
§AI-Optimized Terminal Session Management Library
ai-session
provides an advanced session management system designed specifically
for AI agents and modern development workflows. It offers features beyond traditional
terminal multiplexers like tmux, with a focus on AI context management, multi-agent
coordination, and intelligent output handling.
§Key Features
§🧠 AI-Optimized Session Management
- Token-efficient context handling: Automatically manages conversation history with intelligent compression
- Semantic output parsing: Understands command output types (build results, test outputs, error messages)
- Context-aware suggestions: Provides intelligent next-action recommendations
§🤝 Multi-Agent Coordination
- Message bus architecture: Enables seamless communication between AI agents
- Task delegation: Intelligent workload distribution across specialized agents
- Shared context: Cross-agent knowledge sharing for improved efficiency
§📊 Advanced Observability
- Decision tracking: Records AI agent decision-making processes and outcomes
- Performance profiling: Monitors resource usage and optimization opportunities
- Anomaly detection: Identifies unusual patterns in agent behavior
§🔒 Security & Isolation
- Capability-based security: Fine-grained access control for agent actions
- Namespace isolation: Secure separation between different agent sessions
- Rate limiting: Prevents resource abuse and ensures fair usage
§💾 Session Persistence
- State snapshots: Save and restore session state for continuity
- Command history: Complete audit trail of all executed commands
- Compression: Efficient storage using zstd compression
§Quick Start
use ai_session::*;
use anyhow::Result;
#[tokio::main]
async fn main() -> Result<()> {
// Create session manager
let manager = SessionManager::new();
// Configure session with AI features
let mut config = SessionConfig::default();
config.enable_ai_features = true;
config.context_config.max_tokens = 4096;
// Create and start session
let session = manager.create_session_with_config(config).await?;
session.start().await?;
// Execute commands
session.send_input("echo 'Hello AI Session!'\n").await?;
let output = session.read_output().await?;
println!("Output: {}", String::from_utf8_lossy(&output));
// Clean up
session.stop().await?;
Ok(())
}
§Multi-Agent Example
use ai_session::*;
use ai_session::coordination::{MultiAgentSession, AgentId};
use anyhow::Result;
use std::sync::Arc;
#[tokio::main]
async fn main() -> Result<()> {
let coordinator = Arc::new(MultiAgentSession::new());
let manager = SessionManager::new();
// Create specialized agents
let mut frontend_config = SessionConfig::default();
frontend_config.agent_role = Some("frontend".to_string());
frontend_config.enable_ai_features = true;
let frontend_session = manager.create_session_with_config(frontend_config).await?;
let frontend_id = AgentId::new();
coordinator.register_agent(frontend_id.clone(), frontend_session)?;
// Agents can now coordinate through the message bus
println!("Multi-agent system ready!");
Ok(())
}
§Architecture Overview
The library is organized into several key modules:
core
- Core session management and lifecyclecontext
- AI context and conversation history managementcoordination
- Multi-agent communication and task distributionoutput
- Intelligent output parsing and semantic analysissecurity
- Access control, isolation, and rate limitingobservability
- Monitoring, decision tracking, and performance analysispersistence
- Session state storage and recoveryintegration
- Compatibility layers (tmux, VS Code, etc.)
§Performance Characteristics
- Memory Efficient: Context compression reduces memory usage by ~70%
- Token Optimized: Intelligent history management saves ~93% of API tokens
- Low Latency: Message passing adds <100ms coordination overhead
- Scalable: Supports 100+ concurrent agent sessions
§Compatibility
- Cross-platform: Works on Linux, macOS, and Windows
- tmux Compatible: Drop-in replacement with migration tools
- IDE Integration: VS Code extension support built-in
- CI/CD Ready: Designed for automated workflows
Re-exports§
pub use native_portable as native;
pub use context::AgentState;
pub use context::SessionContext;
pub use context::TaskContext;
pub use context::WorkspaceState;
pub use context::Message as ContextMessage;
pub use context::MessageRole;
pub use context::SessionConfig as ContextSessionConfig;
pub use coordination::AgentId;
pub use coordination::AgentMessage;
pub use coordination::Message as CoordinationMessage;
pub use coordination::MessageBus;
pub use coordination::MessagePriority;
pub use coordination::MessageType;
pub use coordination::MultiAgentSession;
pub use coordination::TaskId;
pub use core::AISession;
pub use core::ContextConfig;
pub use core::SessionConfig;
pub use core::SessionError;
pub use core::SessionId;
pub use core::SessionResult;
pub use core::SessionStatus;
pub use output::OutputManager;
pub use output::OutputParser;
pub use output::ParsedOutput;
pub use crate::core::SessionManager;
Modules§
- agent
- Agent-specific session management for ccswarm integration
- ccswarm
- ccswarm integration module - Advanced AI agent coordination
- context
- Session context management for AI agents
- coordination
- Multi-agent coordination functionality
- core
- Core session management functionality
- integration
- Integration layers for compatibility with existing systems
- ipc
- Native IPC implementation using Unix domain sockets
- mcp
- Model Context Protocol (MCP) implementation for ai-session
- native_
portable - Native session management using portable-pty
- observability
- Observability and debugging features for AI sessions
- output
- Intelligent output management for AI sessions
- persistence
- Session state persistence and recovery
- security
- Security and isolation features for AI sessions
- session_
cache - Simple session cache for CLI persistence
- session_
persistence - Persistent session manager for the CLI
- tmux_
bridge - Bridge module that provides tmux-compatible interface using native session management
- unified_
bus - Unified message bus - Consolidates multiple communication channels
Structs§
- Session
Info - Session information (for listing sessions)
Constants§
- VERSION
- Library version
Functions§
- init_
logging - Initialize the logging system