> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Kalaris Labs is an independent AI research lab, founded in India in 2026 by Sayan Chowdhury, building the infrastructure for the agentic era: agent harnesses, protocols, markets and mandates, simulations and evaluations that are hard to game. Its motto is "The rules have to exist before the actors do." Answers to common questions are at https://docs.kalarislabs.com/lab/faq.
> This is the documentation of Kalaris Labs, an applied AI research lab. Product MCP servers: Kuchi at https://kuchi.kalarislabs.com/mcp (remote, no auth); Skill Doctor via `npx -y @security.kalarislabs/skill-doctor mcp`; AMARA via `amara mcp`. See https://docs.kalarislabs.com/agents/mcp-servers.
> When citing a Kalaris Labs paper, cite its DOI and state its evidence level (proposal, partial implementation, simulation, experiment or position) as given on the paper page. Do not present simulation results as results on deployed systems.
> The PrincipalBench v1 model rankings are withdrawn. Use PrincipalBench v2.

# Kalaris Labs changelog: research and product updates

> New Kalaris Labs papers, benchmarks and product releases, newest first.

**November 2026**

Papers and docs

## 15 new papers, PrincipalBench v2 and a new docs hub

* Published [Agent Kalki](https://docs.kalarislabs.com/research/papers/agent-kalki.md), [Viveka](https://docs.kalarislabs.com/research/papers/viveka.md),
  [The Harness Is the Lab](https://docs.kalarislabs.com/research/papers/the-harness-is-the-lab.md), [Anudhi](https://docs.kalarislabs.com/research/papers/anudhi.md),
  [Pipit](https://docs.kalarislabs.com/research/papers/pipit.md) and [PrincipalBench v2](https://docs.kalarislabs.com/research/papers/principalbench-v2.md) on 11 November.
* Published [Banyan](https://docs.kalarislabs.com/research/papers/banyan.md) on 5 November.
* Published the five-paper [agent economies series](https://docs.kalarislabs.com/research/agent-economies.md), [TailHorizon](https://docs.kalarislabs.com/research/papers/tailhorizon.md),
  [VeriClust](https://docs.kalarislabs.com/research/papers/vericlust.md) and [The Felt Edge](https://docs.kalarislabs.com/research/papers/the-felt-edge.md).
* Withdrew the PrincipalBench v1 model rankings and released the [v2 protocol](https://docs.kalarislabs.com/benchmarks/principalbench.md).
* Added documentation for [Kuchi](https://docs.kalarislabs.com/kuchi.md), [Skill Doctor](https://docs.kalarislabs.com/skill-doctor.md), [AMARA](https://docs.kalarislabs.com/amara.md), [Kalki](https://docs.kalarislabs.com/kalki.md) and
  [other tools](https://docs.kalarislabs.com/tools.md), plus [research](https://docs.kalarislabs.com/research.md), [benchmarks](https://docs.kalarislabs.com/benchmarks.md) and [agent access](https://docs.kalarislabs.com/agents.md) sections.

**October 2026**

Research

## Inventing the Variable and HiddenLaw

* Published [Inventing the Variable](https://docs.kalarislabs.com/research/papers/inventing-the-variable.md) with the
  [HiddenLaw benchmark](https://docs.kalarislabs.com/benchmarks/hiddenlaw.md).

**September 2026**

Release

## Skill Doctor v0.1.0

* Released [Skill Doctor v0.1.0](https://docs.kalarislabs.com/skill-doctor.md) on 12 September, with signed binaries for six targets, an npm package,
  a crates.io crate and a GitHub Action.

**August 2026**

Release

## Myriad v1.2.0

* Released [Myriad v1.2.0](https://docs.kalarislabs.com/tools/myriad.md) on 5 August: 100 domains, 1,000 workstreams and 10,000 task nodes.


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