Machine Reasoning,Human Accountability.
Homi is a council of specialist agents, named for the physicist Dr. Homi Jehangir Bhabha. It reads the literature, forms conjectures, designs and analyzes experiments, and drafts results. Every step is logged, evidence-bound, and approval-gated.
Model-Agnostic, Workflow-Native, Governed.
Any model behind an OpenAI-compatible or Model Context Protocol interface can back Homi. Structured-output validation, tool-schema enforcement, evidence requirements, and named-approval gates run inside ArkLab, not inside the model. Agents assist at speed while accountability stays with people.
10 specialized agents
Authority gradient
Multi-agent debates
Citation-to-claim verification
MCP-style tool registry
Governed memory
Ten Agents, Each With an Enforced Role.
Every agent carries an enforced authority level, an allowed-tools list, and a versioned system-prompt hash.
Benchmarks Attached, Not Bolted On.
Every model plugged into Homi's runtime is evaluated against PaperBench (research replication), LAB-Bench (chemistry and biology Q&A), and BioMysteryBench (bioinformatics task solvability), extended with ArkLab citation-grounding accuracy and replay-to-equivalence checks. Results are first-class versioned artifacts.
Put a Governed Council on Your Research.
Meet the specialist agents in the workspace, or join the institutional beta to bring them onto your projects.
