The harness sits between your model and the world — providing cognition, infinite memory, and enforcement gates. Your model becomes the engine. The harness becomes the intelligence.
Connect any LLM — ChatGPT, Claude, Gemini, DeepSeek, Llama, Mistral, or a local 1B model — and every response gains eight lenses of understanding, perfect context recall, and the ability to hold conversations across months.
The model provides raw inference. The harness provides everything else. Even tiny models produce rich, nuanced responses because the depth lives in the harness, not the weights.
The intelligence is in the harness, not the model. Swap models freely — the depth stays consistent.— Aria Design Principle
Every connected model — from 1B to frontier — inherits these capabilities through the harness.
Every response passes through eight complementary lenses of meaning — logical, emotional, practical, temporal, relational, ethical, creative, and systemic.
The Garden remembers every conversation, decision, and detail. No context window limits. Perfect recall across sessions, days, and months.
Code, research, strategy, operations — one harness routes across all domains. No switching tools or contexts.
The harness controls the model. Every response passes through quality gates, identity enforcement, and safety checks before reaching the user.
Always on the latest harness. No installs, no SDK updates. Improvements apply instantly to every connected model.
Works with any LLM. Swap freely between providers — the cognitive depth remains consistent because it lives in the harness.
The harness maintains active state — not stateless request-response. It knows who you are, what you are building, and where you left off.
Before any output reaches the user, Mizan verification checks for authenticity, coherence, and alignment — reducing hallucination at the harness level.
Six native interfaces. One harness. Choose the method that fits your workflow — they all route to the same cognitive engine.
Native MCP server exposing the full harness as an MCP toolset. Compatible with Claude Desktop, Cursor, Windsurf, and any MCP client. Tools include cognition, memory search, manifold status, and live diagnostics.
POST /chat with JSON payloads. Full session management, tool routing, and streaming responses. Works with any HTTP client, any language. The simplest integration path.
Real-time bidirectional communication for long-running agent tasks, live memory updates, and streaming cognitive events. The harness stays alive between messages.
The harness ships as a CLI tool. Pipe text, run manifold operations, query memory — all from the terminal. First-class shell integration.
Embedded extension that connects your editor to the harness. Cognitive context follows your cursor — file awareness, project memory, and inline guidance.
First-class SDKs with full type coverage. Drop-in replacement for any LLM provider — swap your model client and get cognitive depth for free.
The same cognitive engine adapts to how you want to work.
Autonomous execution. The harness drives your model through complex multi-step tasks — code generation, system operations, research synthesis. Tool use, memory, and self-correction are automatic.
Conversational interface with full harness depth. Every message carries eight-lens understanding and infinite memory. The most natural way to work with harness-powered intelligence.
Projects that span days or weeks. The harness maintains persistent state, tracks decisions, and grows context over time. Ideal for codebase work, research threads, and ongoing operations.
No model training required. Just connect and the harness handles the rest.
Sign up in seconds. You get an API key and immediate access to the full harness platform.
Point any LLM at the harness endpoint. One configuration change — your model speaks through the harness.
Every turn flows through the harness. Your model now speaks with infinite memory, eight-lens cognition, and cross-domain intelligence.