Releases June 15, 2026

A council of AI models that thinks, codes, reviews, and ships — together.

Konklave assembles a crew of six AI agents — Architect, Coder, Reviewer, Tester, Researcher, Auditor — to tackle your tasks from start to finish.

Download on GitHub View Docs
konklave@session:~

Eval Report

Real performance comparison across 5 coding tasks

Solo (No Konklave)
Single model, straight to code
20%
Pass Rate
Mean Score 54.1%
Mean Cost $0.0026
Mean Duration 8.06s
Pipeline (Same Model)
Full pipeline, same model
40%
Pass Rate
Mean Score 83.0%
Mean Cost $0.018
Mean Duration 308s
Better Architecture Swarm
Full pipeline, diverse models
80%
Pass Rate
Mean Score 98.5%
Mean Cost $0.072
Mean Duration 3,408s

Evaluated with Gemini Flash 2.5 Lite — 5 tasks per config. Each task scored on correctness, completeness, and style.

How it works

1

Describe your task

Tell Konklave what you need in plain language — a feature, refactor, test, or full project. The Architect receives it and breaks it down.

2

Architect plans & researches

The Architect designs the plan, splits work into subtasks, and spawns a parallel research swarm of Researcher agents — gathering facts, docs, and API insights simultaneously.

3

Pipeline of specialists

The Coder implements each module, Reviewer + Auditor check for bugs and security in parallel, and Tester validates everything — all in a single orchestrated pipeline.

The AI Team

🏗

Architect

Claude Sonnet 4.6

Designs the plan, splits work, spawns research swarms, and guides the team.

💻

Coder

DeepSeek Chat V3

Writes production-ready code for every module with full project context.

👁

Reviewer

Claude Sonnet 4.6

Catches bugs, enforces style, and suggests improvements against the plan.

🧪

Tester

Claude Haiku 4.5

Writes and runs tests to make sure everything works as expected.

🔍

Researcher

Claude Haiku 4.5

Looks up facts, docs, and APIs the team needs — runs in parallel swarms.

🛡️

Auditor

Claude Sonnet 4.6

Reviews code for security vulnerabilities and compliance before final output.

Features

Real-time streaming output

Watch your agents think and code line by line — no more staring at a spinner.

One API, 300+ models

Plug in once via OpenRouter and route tasks across 300+ models from OpenAI, Anthropic, Google, DeepSeek, and more.

Smart cost routing

Easy tasks go to cheap models; hard ones get the heavy hitters. You only pay for what you need.

Full codebase context

Every agent sees your entire project — no copy-pasting context windows.

German & English UI

Switch between languages on the fly. More coming soon. (i18n built-in)

Your code stays local

Orchestration runs on your machine — only prompts are sent to OpenRouter. Your data is never stored externally.

Multi-agent pipeline

Architect spawns a parallel research swarm, Coder implements, Reviewer + Auditor review in parallel, Tester validates — all orchestrated in one command.

Work Modes

Very Fast
Lightning
No research → code → done. Fastest path to output. Great for quick experiments.
Fast
Fast
One researcher, quick review. Lightweight, skips test for speed.
Balanced
Balanced
Research → plan → code → review → test. Full pipeline, default mode.
Deep
Thorough
Multi-researcher, multiple review and test rounds. Deeper quality.
Exhaustive
Max quality
Exhaustive edge cases, trade-off exploration. Maximum depth.
Autonomous
Autonomous
Loop plan→code→review→test→audit until Auditor approves (budget-capped).
Auto-endless
Endless
Same as autonomous but runs until you stop it (no budget cap).

Install

$ pip install konklave
Python 3.11+ OpenRouter API key MIT License