coreason-runtime 0.3.0

The official zero-trust, high-throughput kinetic execution engine for the coreason-manifest ontology.

🧠 coreason-runtime

The official zero-trust, high-throughput kinetic execution engine for the coreason-manifest ontology.

coreason-runtime is a State-of-the-Art (SOTA) 2026 cybernetic execution engine. It abandons legacy, fragile "chain-of-thought" LLM scripting in favor of deterministic Active Inference, Topological Data Analysis (TDA), and strictly bounded Markov Decision Processes.

If coreason-manifest is the DNA of your multi-agent topologies, coreason-runtime is the biological cell that safely executes them.

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🚀 The Paradigm Shift

Modern enterprise AI cannot rely on unbounded while True loops and raw Python exec(). The coreason-runtime enforces mathematical rigor at every boundary:

• Deterministic Orchestration: Built on Temporal, Swarm executions are durably serialized. If a GPU dies or a network request fails, the Swarm pauses, rehydrates, and resumes exactly where it left off. No amnesia. No ghost processes.
• Zero-Trust WASM Sandboxing: Kinetic actions (Tools) are executed inside isolated WebAssembly environments via Extism. Agents can execute complex IO without ever touching your host's root kernel or filesystem.
• Epistemic Vector Ledger: Native, zero-copy integration with LanceDB. The runtime automatically projects the agent's latent state into an embedded vector memory layer.
• Embedded Medallion Analytics: No need for heavy Spark clusters. Raw telemetry (SSE) is ingested via dlt and transformed into Silver/Gold analytical intelligence matrices using Rust-backed Polars directly inside the daemon.
• Human-in-the-Loop (HITL) Webhooks: When an agent calculates high Variational Free Energy (epistemic uncertainty), it durably suspends its thread and emits an Oracle Request, waiting safely for a human expert to inject resolving priors via API.

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⚡ Installation

We utilize uv for ultra-fast, deterministic resolution. Ensure you are running Python 3.14+.

uv add coreason-runtime

Note: For bare-metal enterprise deployment with SGLang GPU passthrough, refer to our Docker Deployment Guide.

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🛠️ Quickstart

The runtime is designed to be operated via its CLI or mounted as an API edge.

1. Run a Local Swarm

To execute a mathematically verified agentic topology, simply pass the JSON/YAML manifest to the runtime:

coreason run ./my_swarm_manifest.json

2. Boot the API Edge & Telemetry Broker

To boot the runtime as a continuous daemon (exposing the CRDT State Sync, Schema Projection, and Server-Sent Events telemetry):

coreason serve --port 8000

Your frontend IDE can now connect to http://localhost:8000/api/v1/telemetry/stream to visualize the active inference loops in real-time.

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🏗️ Architecture

The runtime operates across four isolated computational boundaries:

1. The Orchestrator: Temporal Python SDK running deterministic AST-scanned workflows.
2. The Cognitive Engine: SGLang routing for sub-millisecond constrained tensor inference.
3. The Kinetic Sandbox: Extism executing .wasm MCP plugins.
4. The Epistemic Store: LanceDB & Polars managing long-term vectors and ETL metrics.

For a deep dive into the cybernetic loop, read the Architecture Documentation.

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📜 License

This software is proprietary and dual-licensed under the Prosperity Public License 3.0. Commercial use beyond a 30-day trial requires a separate commercial license. See the LICENSE file for details.

Copyright (c) 2026 CoReason, Inc.