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Kalaris Labs is an independent AI research lab building the infrastructure for the agentic era. Agents now write code, transact, negotiate and coordinate for people and institutions. Everyone is building the agents; we build what they stand on: harnesses, protocols, markets and mandates, simulations, and evaluations that are hard to game.
The rules have to exist before the actors do. Read about the lab or the FAQ.
This site holds our published research, our benchmarks and evaluation methods, and the documentation for every open-source tool we ship. Every project works with Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf, and every page is also served as Markdown so an agent can read it directly.

Research papers

17 preprints on self-improving agents, agent economies, evaluation, inference and neuroscience.

Benchmarks and evals

PrincipalBench v2, HiddenLaw and the evaluation rules we hold our own claims to.

For AI agents

MCP servers, llms.txt, skill.md and copy-paste setup for Claude, Codex, Cursor and others.

Set up with your agent

Paste this prompt into your coding agent. It recommends the right project for your repository, waits for your approval, and checks the result.

Products

Latest research

Every paper page states its evidence level. Check it before you cite a result. See all papers or the changelog.

Find the right page

Open source

All code is public at github.com/KalarisLabs. See every repository with its license and the paper it accompanies.

About these docs

Research Agent Skills pages are mirrored from the project repository. Every other section is maintained in KalarisLabs/public-docs. Read about the lab.
Last modified on November 15, 2026