GhostAI
Autonomous AI Agent Platform
A multi-agent orchestration platform enabling AI agents to execute complex, multi-step tasks autonomously with persistent memory, tool use, and code execution capabilities.
// the problem
Challenge
Current AI assistants lack persistence and autonomy—they forget context between sessions and require constant human guidance. Building agents that can truly work independently requires solving memory persistence, safe code execution, tool orchestration, and multi-agent coordination.
// what we built
Solution
GhostAI implements a full agent runtime with vector-based persistent memory, a sandboxed code execution environment, and an orchestrator that coordinates multiple specialized agents. Leading AI models provide reasoning, while a tool server exposes dozens of integrations. WebSocket connections enable real-time task monitoring.
// shipped
Key features
- Autonomous multi-step task execution
- Vector memory with semantic search
- Isolated code execution sandbox
- Extensible tool integration framework
- Multi-agent collaboration
- Human-in-the-loop checkpoints
- Task queuing and prioritization
- Comprehensive audit trails
// stack.json
Tech stack
The exact tools shipping this product in production.
- Python
- FastAPI
- PostgreSQL
- Docker
- WebSocket
- Vector Database
- AI/LLM APIs
// system.diagram()
Architecture
Multi-agent platform with persistent memory, tool use, and isolated code execution
- frontend
- backend
- ai
- service
- database
// receipts
Results
- Persistent vector memory across sessions
- Sandboxed code execution environment
- Multi-agent task orchestration
- Dozens of tool integrations
- Real-time WebSocket monitoring
- Full audit logging for compliance
// next()
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