tempestai-dev/tempest
Tempest
Tempest is an orchestration platform designed for the execution and management of autonomous coding agents. It provides a framework for running multiple agents in parallel, coordinating their workflows, and maintaining persistent session states through a centralized management interface.
The platform distinguishes itself through its focus on secure, isolated execution and intelligent context management. Each agent operates within a dedicated sandbox, utilizing ephemeral file systems and database copies to perform tasks without impacting production environments. To optimize performance and reduce token consumption, the system maintains a local knowledge graph of code symbols and relationships, allowing agents to access precise context without redundant file scanning.
Beyond execution, the platform includes governance and security features tailored for organizational use. It supports automated permission handling, audit logging, and resource lifecycle management, ensuring that all sandboxes and process handles are cleaned up automatically upon session termination.
Features
- Developer Productivity Tools - Provides a platform for executing autonomous coding agents within secure sandboxed environments to streamline software development.
- Agent Workflow Lifecycle Managers - Provides a centralized interface for managing the full lifecycle of concurrent autonomous agent sessions and their complex development workflows.
- Agent Process Isolation - Confines agent processes within secure, platform-specific sandboxes with automated resource cleanup upon session termination.
- Message-Passing Agent Orchestrators - Coordinates parallel agent tasks and state updates through a centralized message-passing management layer.
- Graph-Based Context Providers - Maintains a local knowledge graph of code symbols to provide structured context for agent reasoning.
- Coding Agent Orchestrators - Executes multiple coding agents in parallel within isolated environments to complete complex tasks.
- AI Coding Agent Platforms - Optimizes token consumption for coding agents through efficient repository indexing.
- Code Knowledge Graphs - Builds local graphs of code relationships to provide fast, relevant context for agentic tasks.
- Resource Lifecycle Managers - Provides automated cleanup of sandboxes, databases, and process handles upon agent session termination.
- Codebase Indexing - Maintains a local knowledge graph of code symbols and relationships to provide agents with precise context without redundant file scanning.
- Agent Session Persistence - Maintains persistent state for agent sessions to track progress and review incremental changes.
- Ephemeral Workspaces - Provisions temporary, isolated file system environments for safe agent execution.
- Ephemeral Database Provisioning - Provisions ephemeral, independent database copies for agents to perform destructive operations safely.
- Isolated Execution Sandboxes - Runs coding agents within secure, ephemeral sandboxes to ensure clean resource lifecycle management.
- AI Coding Governance Controls - Provides enterprise-grade governance, audit logging, and access controls for autonomous coding tools.
- Enterprise AI Coding Governance - Provides enterprise-grade governance, including audit logging and usage controls, for managing autonomous coding agents at scale.
- AI Agent Permissions - Automates agent permissions to allow autonomous operation while strictly enforcing user-defined security and access policies.
- Per-Session Workspace Isolations - Isolates each agent session within a dedicated file system worktree to prevent unauthorized access and cross-task interference.
- Multi-Agent Coordination Frameworks - Manages interactions and context sharing between multiple agents while maintaining strict isolation boundaries.
- Shared Knowledge Graph Memory - Shares a persistent knowledge graph across multiple agent sessions to maintain context and reduce redundant processing.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
