Chisle
The coding-agent plugin that bills 52% of a bare model across 20 live tasks. Terse persona + tool-output compressor + context diet.
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🐧 Harness for RSI. Let AI Build AI. Multi-Agent Auto-Dev Platform. Everything is Transparent.
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Open-source, local-first multi-agent app development platform Fully automate building · optimizing · deploying AI applications
With LangChain, you build agents by hand — at 1× speed. With PenguinHarness, agents build agents — at 100×.
PenguinHarness runs on your computer or server and automates the agent app lifecycle from creation and evaluation to optimization and deployment. Three reasons define the platform:
1. 🏆 Outstanding results at tens of times less costRead the full README ↗PenguinHarness is an open-source framework for agent self-evolution (recursive self-improvement, RSI). The model stays fixed; the harness evolves: prompts, Skills, tools and hooks. It runs on your computer or server as a desktop app, a Web App, a CLI and an SDK.
Pick an algorithm, pick a Benchmark, and an agent improves another agent round by round. Every candidate is a new version, snapshotted before it changes, and every score lands in the Evaluation Center.
| Toolkit | Algorithm |
|---|---|
default-rsi-toolkit | Trial, reflect, improve: one hypothesis and one change per round |
opro-rsi-toolkit | OPRO: new instructions from the history of scored ones |
ape-rsi-toolkit | APE: candidate instructions induced from examples |
ace-rsi-toolkit | ACE: lessons from Traces curated into a playbook |
awm-rsi-toolkit | AWM: workflows induced from successful runs |
skilladam-rsi-toolkit | SkillAdam: evolving issue tracker and adaptive Skill edit budget |
skillopt-rsi-toolkit | SkillOpt: bounded Skill edits, score-based selection and cross-epoch reflection |
openskill-rsi-toolkit | OpenSkill: external research and independent virtual tests before frozen-State evaluation |
trace-rsi-toolkit | TRACE: skill-bank evolution from contrasting trajectories, with consistency measurement |
Every new Project includes seventeen Benchmarks, run as Harbor tasks in Docker: PenguinHarness Benchmark Sec A to Sec E (from rag-bench-essential, DeepSWE, AutomationBench, Terminal-Bench-Science and Terminal-Bench) and a Train/Test pair for each of GDPEVO Essential's six scenarios. More are in penguin-harness-benchmark.
Demo: a decision agent is evaluated, revises its working method once, and is retested on the same model. Its score goes from 84 to 100, and the cost of every run is on screen.
https://github.com/user-attachments/assets/7925b4b5-db78-4e00-b209-89deca394e34
Build a legal review agent with a simple workspace where users upload contracts, track the review, and download a report with risky clauses, explanations, and suggested revisions.
The result: a legal review app. Users upload contracts, follow each file's review, and download a report of risky clauses with explanations and suggested revisions. Five sample reviews cost $0.0423 in model calls.
https://github.com/user-attachments/assets/28c0ef95-1dfa-47be-bad0-7326ccdf4e7c
Replies can also carry UI: choices, forms, steps, Mermaid diagrams and live widgets (A2UI).
Each harness on the model it is usually paired with, on the same tasks:
Agents can also write and optimize their own Skills (docs).
| Category | Plugins |
|---|---|
| Agent Self-Evolution | default-rsi-toolkit, opro-rsi-toolkit, ape-rsi-toolkit, ace-rsi-toolkit, awm-rsi-toolkit, skilladam-rsi-toolkit, skillopt-rsi-toolkit, openskill-rsi-toolkit, trace-rsi-toolkit |
| Office Productivity | a2ui, data-analysis, use-firecrawl, browser-automation, use-bento-slides, humanizer, goal, continual-learning, agent-company, penguin-support |
| Software Development | software-development, use-claude-code |
| AI App Development | agent-development, agent-evaluation, model-development, skill-porting |
These are the model families we focus on supporting. The app's Models page lists each variant and its providers.
| Model | Providers |
|---|---|
| GPT 6.1 | OpenAI, OpenRouter |
| Claude 5.5 | Anthropic, OpenRouter, OpenCode Go |
| Gemini 4 | Google Gemini, OpenRouter, Penguin Go, OpenCode Go |
| Grok 4.7 | OpenRouter, OpenCode Go |
| Qwen3.8 Max | Qwen Token Plan, Qwen Pay-As-You-Go, OpenRouter, TokenDance, OpenCode Go |
| Model | Providers |
|---|---|
| DeepSeek V4.1 | DeepSeek, OpenRouter, Fireworks AI, Atlas Cloud, TokenDance, Penguin Go, OpenCode Go, Qwen Token Plan, Qwen Pay-As-You-Go, ModelScope |
| Kimi K3 | Moonshot AI, OpenRouter, Fireworks AI, TokenDance, OpenCode Go, Qwen Pay-As-You-Go |
| GLM 5.3 | Z.AI, OpenRouter, TokenDance, OpenCode Go |
| Hunyuan 4 | OpenRouter, TokenDance, OpenCode Go |
| MiMo v2.6 | OpenRouter, TokenDance, OpenCode Go |
OpenCode Go offers Claude Haiku 5.5; Fable 5.1, Opus 5.5 and Sonnet 5.5 are available through Anthropic and OpenRouter. Hunyuan 4 uses hy4-preview.
Custom OpenAI-protocol endpoints also work, covering 1000+ online and local models.
Download the installer from penguin.ooo/download: macOS 11+ (dmg), Windows 10+ (exe) or Linux x64 (AppImage, deb). The app opens signed in and needs no terminal.
This is the beginning of the README. Read the rest at the original. Read the full README ↗