🧠 PersistenceAI

Agentic Coding Multiplexer IDE

📦 Latest Release: •

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PersistenceAI is an enterprise-grade Agentic Coding Multiplexer IDE that revolutionizes software development by integrating multiple AI agents directly into your terminal workflow. Built for professional development teams seeking intelligent automation and enhanced productivity.

• 🤖 Multi-Agent System - Unlike single-agent tools, coordinate multiple specialized AI agents for complex tasks
• 💻 Terminal-Native - Full IDE experience without leaving your terminal workflow
• 🧠 Persistent Context - AI agents remember your project context across sessions
• 🏢 Enterprise-Ready - Built for professional development teams with production-grade reliability
• 🔌 Flexible Integration - Support for local models (Ollama) and cloud providers (OpenAI, Anthropic, Google, etc.)
• 🚀 Agent 0 - Proprietary intelligent enhancement layer that continuously improves AI performance

Agent 0 is PersistenceAI's proprietary intelligent enhancement layer that automatically improves your AI coding experience through continuous learning and optimization. It works transparently in the background, making your AI assistant smarter with every session.

Compresses long sessions while preserving critical context. Result: 30-40% token reduction with better context retention.

Automatically extracts and reuses insights across tasks. Result: 40-50% faster bug fixes, prevents repeated mistakes.

Tracks performance metrics and continuously refines prompts and tool usage. Result: 20-30% cumulative improvement over time.

Monitors tool usage and prevents common mistakes. Result: 40-50% reduction in tool-related errors.

After extensive testing, Agent 0 delivers:

• Code Quality: +20-30% improvement
• Error Reduction: -50-70% fewer errors
• Task Speed: +25-35% faster completion
• Token Efficiency: +30-40% reduction
• Long-Term: +30-50% cumulative improvement

Agent 0 is designed to be lightweight and efficient:

• Memory: +8-20MB (12-20% increase)
• Storage: +2-18MB (<1% typical usage)
• Latency: +0-10ms (<0.5% increase)
• CPU: +<3% (background only)

Small cost, big gains. ✅

Agent 0 is pre-configured and enabled by default in the latest PersistenceAI version. No configuration needed - it works automatically out of the box!

The system is optimized for the best performance and begins learning from your first session. Simply update to the latest version and start coding - you'll notice the improvements immediately.

Agent 0 operates transparently in the background:

1. During Sessions: Monitors tool usage, tracks performance metrics
2. After Sessions: Extracts notes, analyzes patterns, identifies improvements
3. Before Sessions: Injects relevant notes, applies refinements
4. Over Time: Builds a knowledge base that continuously improves responses

• Faster Development: Tasks complete 25-35% faster with better first attempts
• Fewer Errors: 50-70% reduction in common mistakes and tool misuse
• Better Code: 20-30% improvement in code quality and consistency
• Cost Savings: 30-40% token efficiency reduces API costs
• Continuous Improvement: Performance gets better over time as the system learns

Agent 0 is a proprietary PersistenceAI feature designed for enterprise use:

• Privacy-Focused: All learning happens locally on your machine
• Secure: No external data transmission for enhancement features
• Reliable: Production-tested with minimal overhead
• Scalable: Works efficiently across projects of any size

• 🔧 Code Refactoring - Multi-agent collaboration for complex refactoring tasks
• 🐛 Bug Fixing - AI agents analyze errors, suggest fixes, and implement solutions
• ✨ Feature Development - Plan, implement, and review features with AI assistance
• 📝 Code Review - Automated code quality checks and improvements
• 📚 Documentation - Generate and maintain project documentation automatically
• 🚀 Rapid Prototyping - Quickly build and iterate on new features
• 🔍 Codebase Exploration - Understand large codebases with specialized agents

iwr -useb https://persistence-ai.github.io/Landing/install | iex

curl -fsSL https://persistence-ai.github.io/Landing/install | bash

npm install -g persistenceai # Node.js
bun install -g persistenceai # Bun
pnpm install -g persistenceai # pnpm
brew install persistenceai # Homebrew (macOS)

# Start PersistenceAI in your project
pai tui
# Ask for help with a feature
@build Can you help me implement user authentication?# Multiple agents collaborate automatically:# - Planning agent creates the architecture# - Build agent implements the code# - Review agent checks for issues

flowchart TB
subgraph Input["User Input Layer"]
UI["Terminal Commands<br/>Chat Messages<br/>File Operations<br/>@ Mentions"]
end
subgraph Agents["Agent Layer"]
A1["Primary Agent<br/>(Build/Plan)"]
A2["Primary Agent<br/>(Review)"]
A3["Primary Agent<br/>(Custom)"]
A4["Subagent Agents<br/>(@mentions)"]
end
subgraph Orchestrator["Orchestrator & Memory System"]
CE["Context Engine<br/>• Prompt Build<br/>• Agent Select<br/>• Tool Routing"]
MS["Memory System<br/>• Episodic<br/>• Semantic<br/>• Session State"]
TD["Task Decomp<br/>• Hierarchical<br/>• Recursive<br/>• Validation"]
A0["Agent 0 Layer<br/>• Hierarchical Memory<br/>• Persistent Notes<br/>• Meta-Agent Refinement<br/>• Tool Control"]
VC["Voting & Consensus<br/>(Oligarchy Agent)"]
end
subgraph Tools["Tool Execution Layer"]
F["Files<br/>(R/W)"]
S["Search<br/>(grep)"]
E["Execute<br/>(bash)"]
C["Custom<br/>Tools"]
end
subgraph IDE["Terminal IDE & Tool Interface"]
Chat["AI Chat Interface<br/>• User Messages<br/>• Agent Responses<br/>• Tool Results"]
Explorer["Explorer Pane<br/>• File Tree<br/>• Navigation<br/>• File Selection<br/>• @ File Search"]
Editor["Editor Pane<br/>• Text Editor<br/>• Syntax Highlight<br/>• Search/Replace<br/>• Undo/Redo<br/>• Multi-file"]
LSP["LSP/MCP Integration<br/>• Language Server Protocol<br/>• Model Context Protocol<br/>• Code Completion<br/>• Diagnostics"]
end
subgraph Response["Response & Feedback"]
RF["Code Changes<br/>Explanations<br/>Tool Results<br/>Error Handling"]
end
subgraph Memory["Memory System"]
Mem["Persist Context"]
end
UI --> Agents
A1 --> Orchestrator
A2 --> Orchestrator
A3 --> Orchestrator
A4 --> Orchestrator
CE --> A0
MS --> A0
TD --> A0
A0 --> VC
VC --> Tools
F --> IDE
S --> IDE
E --> IDE
C --> IDE
Tools --> Chat
Chat --> Explorer
Chat --> Editor
Explorer <--> Editor
IDE --> LSP
IDE --> Response
Response --> Memory
Memory --> Orchestrator
style Input fill:#161b22,stroke:#4ec9b0,stroke-width:2px
style Agents fill:#161b22,stroke:#4ec9b0,stroke-width:2px
style Orchestrator fill:#161b22,stroke:#4ec9b0,stroke-width:2px
style Tools fill:#161b22,stroke:#4ec9b0,stroke-width:2px
style IDE fill:#161b22,stroke:#4ec9b0,stroke-width:2px
style Response fill:#161b22,stroke:#4ec9b0,stroke-width:2px
style Memory fill:#161b22,stroke:#4ec9b0,stroke-width:2px

Data Flow: User Input → Agent Selection → Orchestrator → Tool Execution → IDE Interface → Response → Memory Update → (Loop)

Persistence-AI/
├── Landing/ # Public website and documentation
├── .github/ # Organization-wide files (this repo)
└── [Private Repos] # Core codebase (proprietary)

Some components may be selectively open-sourced in the future:

• CLI Wrappers - Installation and deployment tools
• Example Integrations - Sample code and templates
• Documentation Tools - Documentation generation utilities
• Select Utilities - Non-proprietary helper tools

Core codebase remains proprietary and enterprise-focused.

• 🔒 Local-First - Run models locally with Ollama for complete privacy
• 🔑 Secure Credentials - API keys stored securely in user config
• 💾 Session Privacy - All session data stays on your machine
• 🏢 Enterprise Compliance - Ready for enterprise security requirements
• 🌐 Provider Choice - Use any provider or self-host for maximum control

• Q1 2025 - Package manager support (npm, Homebrew, Chocolatey, Scoop)
• Q2 2025 - GitHub Actions integration and CI/CD workflows
• Q3 2025 - VS Code extension for seamless IDE integration
• Q4 2025 - IDE feature improvements with editor pane
• Q1 2026 - PersistenceTerminal emulation for application
• Future - Cloud sync and team collaboration features

We value your feedback and are committed to continuous improvement.

1. Report Bugs - Open an issue with detailed reproduction steps
2. Suggest Features - Share your ideas and use cases
3. Improve Documentation - Help us make docs better (for public repos)
4. Share Feedback - Contact us directly via email

• Stable - Production-ready releases
• Beta - Pre-release testing (coming soon)
• Nightly - Development builds (internal)

• Changelog:CHANGELOG.md
• All Releases:GitHub Releases
• Release Notes:RELEASES.md