hexstellar
Turn any AI agent into a computational researcher. HexStellar Cortex delivers software-accelerated optimization, quantum computing, scientific computing, decision intelligence, and verifiable execution through a Python CLI and API—with certainty labels, verification receipts, examples, and a free sa
HexStellar is an MCP server and Python CLI that transforms AI agents into computational researchers by providing access to optimization, quantum computing, and scientific computing capabilities. It executes hard combinatorial problems (max-cut, TSP, QUBO, MILP) on HexStellar's managed infrastructure and returns verified results with certainty labels distinguishing certified optimal solutions from heuristic candidates. The service requires no dependencies beyond Python's standard library, works without signup for sandbox problems, and exposes tools through MCP, OpenAI, or Anthropic formats for seamless agent integration.
Key Features
Use Cases
- 01Route complex combinatorial optimization problems (network partitioning, logistics routing, facility layout) from conversational agents to verified solvers
- 02Enable AI assistants to solve resource allocation and scheduling problems with business rule constraints
- 03Provide agents with quantum computing and scientific computing capabilities (eigenvalue spectra, phase transitions, precision arithmetic)
- 04Verify and validate optimization candidates from other systems or human colleagues
- 05Build decision intelligence workflows where agents formulate problems from user intent and HexStellar executes them
- 06Integrate computational problem-solving into LangChain, CrewAI, or custom agent loops via tool exports
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hexstellar — FAQ
What is HexStellar?+
HexStellar is a computational platform that executes optimization, decision, and scientific computing problems submitted by AI agents. It's not an LLM or generative AI—it solves precisely defined mathematical problems and returns structured results with certainty labels and verification receipts.
How do I install and connect HexStellar to my AI agent?+
Install via 'pip install hexstellar', then run 'hexstellar mcp' to start the MCP server over stdio. Add the server to your MCP client config (e.g., Claude Desktop) or export tools for your framework with 'hexstellar tools --target openai|anthropic'.
Which AI clients and frameworks work with HexStellar?+
HexStellar works with any MCP-compatible client (Claude Desktop, Cursor) via its MCP server, and with LangChain, CrewAI, or custom agents via exported tool specifications for OpenAI, Anthropic, or JSON Schema formats.
Do I need an API key or signup to use HexStellar?+
No signup is required for testing—sandbox-sized problems run free without a key. For production workloads, register a free API key at hexstellar.com and authenticate with 'hexstellar login'.
Is HexStellar free and open source?+
The Python client is source-visible but proprietary; the solver engine is sealed. The anonymous sandbox is free for small problems, and a free API key enables full-scale usage with metered billing. Verification and dry-run estimates are always free.
How do I know if a HexStellar result is correct?+
Every result includes a certainty label: 'certified optimum' means mathematically proven, while 'heuristic' means a candidate requiring verification. Use 'hexstellar verify' for free service re-checks of supported properties.
How do I install hexstellar?+
Open the source repository on GitHub and follow its README. hexstellar is a mcp server — MCP Agents Market links you directly to the official repo.
Is hexstellar free?+
hexstellar is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.