Build, inspect, and serve context deterministically for AI agents and LLMs.

Context Engine provides reproducible, auditable, and offline-first context delivery.
It ensures that the same query over the same cache produces identical outputs across:

• hardware architectures (x86_64, aarch64)
• operating systems (Linux, macOS, Windows)
• supported Rust compiler versions

No randomness. No hidden state. Fully explainable.

The deterministic engine powering the platform.
Content-addressed documents, immutable caches, and reproducible selection logic for LLMs.

Command-line interface to build, inspect, and verify context caches.
Supports CI/CD pipelines and local audits of agent behavior.

MCP server exposing context caches to agents via JSON-RPC 2.0 over stdio.
Deterministic responses ensure agents always get the same context.

Compatibility harness validating determinism, schema compliance, and backward compatibility.
Runs externally via CLI and MCP; no internal crate dependencies.

Formal specifications and invariants for the platform.
Includes frozen JSON schemas, MCP error contracts, and selection behavior rules.

Documentation, how-to guides, and usage examples for developers and integrators.

JavaScript SDK (work in progress).
Provides a programmatic interface to build and resolve context in Node.js.

Python SDK (work in progress).
Programmatic access for Python-based AI workflows.

• Deterministic Selection: Same inputs → identical outputs.
• Content-Addressed: SHA-256 hashed documents ensure integrity.
• Token-Budget First: Designed for LLM window constraints.
• Offline & Auditable: No network dependencies; inspectable caches.
• Frozen Contracts: Outputs and errors are schema-locked and versioned.

• Enterprise AI deployments
• CI/CD pipelines for LLM-based systems
• Air-gapped and on-prem AI infrastructure
• Auditable, regulatory-compliant AI workflows
• Multi-agent systems requiring reproducible behavior

All open-source repositories are licensed under Apache License 2.0.
The "Context Engine" trademark is reserved for the contributors.

Learn more: Visit the Context Engine docs for guides, specs, and examples.