Engram
Engram is an adaptive semantic interoperability layer for AI agents that connects any API, system, or protocol by auto-generating tools, self-healing schema drift, and intelligently routing between MCP and CLI. It solves brittle tool integrations that break in production, providing reliable, self-improving tool integrations for developers building agents that work on real-world systems.
✨ Key features
- Universal onboarding for any API or CLI tool
- Self-healing schemas with OWL ontologies and ML
- Hybrid MCP + CLI execution with performance-weighted routing
- Unified EAT identity with step-aware permissions
- Cross-protocol federation (A2A/ACP) with multi-hop handoffs
- Governed Sequencing via ControlPlane for deterministic workflows
🎯 Use cases
- Build production-grade agents with strict multi-step workflows using Governed Sequencing
- Connect agents to any API or CLI tool without glue code
- Maintain reliable integrations that auto-heal when APIs drift
- Route tasks between MCP and CLI backends for optimal performance
- Federate requests across protocols like A2A and ACP
📦 Installation
🧰 Requirements: Works on Linux, macOS, and WSL2; requires Python and the engram CLI (installed via script).
curl -fsSL https://kwstx.github.io/engram_translator/setup.sh | bash
Works on Linux, macOS, and WSL2. The installer sets up Python dependencies, the engram CLI, and core services.
After installation:
source ~/.bashrc # or source ~/.zshrc
engram # start the CLI
🚀 Usage
engram # Interactive CLI mode
engram scope create # Define a tool boundary (Recommended)
engram scope validate # Check for drift & pre-calculate routing
engram register # Onboard any API or CLI tool
engram tools list # View all registered tools
engram route test "ask" # Test intelligent routing
❓ FAQ
What is Engram?
Engram is an adaptive semantic interoperability layer for AI agents that connects any API, system, or protocol, auto-generating tools and self-healing schema drift.
How do I install Engram?
Run the curl command from the README to install on Linux, macOS, or WSL2, then source your shell config and run 'engram'.
What is Governed Sequencing?
It is a pattern using ControlPlane to define strict, deterministic multi-step workflows, ensuring agents follow the 'Golden Path' without skipping steps.
Does Engram work with any agent framework?
Yes, it works with any agent framework and has no lock-in, as stated in the README.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.