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๐Ÿ”ฅ Simplicio โ€” The AI Agent That SAVES UP TO 96% OF YOUR TOKENS

Simplicio โ€” AI coding agent

Latest Release Stars Downloads License

Install ยท Features ยท 96% Savings ยท Website

๐ŸŒ Languages:
๐Ÿ‡ฌ๐Ÿ‡ง English | ๐Ÿ‡ง๐Ÿ‡ท Portuguรชs | ๐Ÿ‡ช๐Ÿ‡ธ Espaรฑol | ๐Ÿ‡ซ๐Ÿ‡ท Franรงais | ๐Ÿ‡ฏ๐Ÿ‡ต ๆ—ฅๆœฌ่ชž | ๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ์–ด | ๐Ÿ‡จ๐Ÿ‡ณ ็ฎ€ไฝ“ไธญๆ–‡ | ๐Ÿ‡ฎ๐Ÿ‡น Italiano | ๐Ÿ‡ท๐Ÿ‡บ ะ ัƒััะบะธะน | ๐Ÿ‡ต๐Ÿ‡ฑ Polski | ๐Ÿ‡ฎ๐Ÿ‡ณ เคนเคฟเคจเฅเคฆเฅ€ | ๐Ÿ‡ธ๐Ÿ‡ฆ ุงู„ุนุฑุจูŠุฉ | ๐Ÿ‡ฎ๐Ÿ‡ฑ ืขื‘ืจื™ืช | ๐Ÿ‡ฒ๐Ÿ‡พ Bahasa Melayu | ๐Ÿ‡ฎ๐Ÿ‡ฉ Bahasa Indonesia


โšก TL;DR

Simplicio is a terminal AI coding agent โ€” a single binary that replaces your entire AI-assisted development workflow: chat, code generation, repository context, planning, local multi-agent orchestration (64 โ†’ 600 agents), and evidence-backed PR delivery.

Runs on your machine. Your code never leaves your control. Remote models are optional, not required.

๐Ÿ”ฅ Save up to 96% of tokens vs traditional agents โ€” more than Caveman (65%) or RTK (80%). Every interaction shows exactly how many tokens you saved. Single Rust binary, zero deps.

๐Ÿš€ Installation

macOS / Linux

curl -fsSL https://raw.githubusercontent.com/wesleysimplicio/simplicio/master/install.sh | sh

Windows

powershell -c "irm https://raw.githubusercontent.com/wesleysimplicio/simplicio/master/install.ps1 | iex"

Done. One command downloads the Runtime binary, verifies its checksum, and validates the embedded Python source bundle. The installer does not use a Python package manager or sibling checkout. A Google login with an active entitlement is mandatory before product commands run; public beta access may be free, but it does not bypass login.

Codex MCP authentication

After login, the installer registers Simplicio as a local Streamable HTTP MCP server at http://127.0.0.1:8787/mcp. Open Codex MCP settings: the Simplicio row will show Authenticate. Click it to use the Google-backed login at simpleti.com.br/simplicio/login. The Runtime validates the bearer token and active entitlement on each MCP request; beta access does not bypass this gate.

Other MCP hosts keep the local stdio fallback. If the host was configured before this release, run simplicio mcp register and reload its MCP settings.

Python projects embedded in the Runtime

The Runtime release is the distribution boundary. The generated binary carries the real Python source trees for the six projects below. They remain Python projects; the Runtime host is not a native-Rust rewrite and normal installation does not clone or download their repositories:

Capability Binary surface
Mapper Embedded Mapper Python source + Runtime bridge
Dev CLI Embedded Dev CLI Python source + Runtime bridge
Loop Embedded Loop Python source + Runtime bridge
Fast Embedded Fast Python source + Runtime bridge
Prompt Embedded Prompt Python source + Runtime bridge
Sprint Embedded Sprint Python source + Runtime bridge

Verify a release after installation:

simplicio ecosystem verify --json

The verification output includes the source archive size/digest, embedded component versions, provenance commits, and compatibility status. Updating the Runtime release updates this bundle. The binary still uses an available Python 3 interpreter to execute the embedded sources; it never downloads packages or falls back to sibling checkouts. Legacy external adapters and portable Claude skills may still be used explicitly, but they are outside the normal path.

After installation, authenticate with the Google-backed device flow when prompted, or run:

simplicio auth login
simplicio auth status --json

Plugin marketplace

This public repository also publishes the Simplicio Claude Code marketplace:

/plugin marketplace add wesleysimplicio/simplicio
/plugin install simplicio-loop@simplicio
/plugin install simplicio-prompt@simplicio
/plugin install simplicio-sprint@simplicio

The plugin bundle is documented in PLUGIN.md. These are optional Claude Code skill surfaces; they are not required to obtain the Runtime's embedded ecosystem. When present, the skills call the Runtime through simplicio serve --mcp --stdio.


๐Ÿ’ฐ Token Savings โ€” 96% is Real

Without Simplicio: every AI session rediscovers your repo, loads too much context, repeats prompts, burns paid tokens.

With Simplicio:

Optimization Savings
๐Ÿ—บ๏ธ Repo Map โ€” compressed context instead of reading raw files ~70%
๐Ÿง  Memory Recall โ€” known facts are not re-derived ~80%
โœ๏ธ Deterministic Editing โ€” changes without spending LLM tokens 100% (output)
๐Ÿ  Local LLM โ€” classification, summarization, low-risk edits ~90%
๐Ÿ“ก Remote LLM โ€” only for planning and complex decisions ~85%
๐Ÿ”€ Local Fan-out โ€” 64โ†’600 agents before scaling to cloud ~95%
๐Ÿ’Ž Combined: up to 96% total savings ~96%

Every Simplicio response shows real savings: Simplicio: ~X tokens spent ยท saved ~Y (Z%)


๐ŸŽฏ What It Does

Command Description Tokens
simplicio map --repo . Maps the repository for LLMs ~70% savings
simplicio memory "query" Neural recall (FTS + vectors) ~80% savings
simplicio edit '{...}' Deterministic file editing Zero tokens
simplicio coding-loop "task" Iterates until tests pass Auto-repair
simplicio deliver certify 5 quality gates before shipping Deterministic
simplicio run "task" --agents N Multi-agent orchestration Local-first

๐Ÿ†š Simplicio vs Caveman vs RTK

๐Ÿชจ Caveman ๐Ÿ”ง RTK ๐Ÿ”ฅ Simplicio
Approach Output style compression Shell command proxy Full agent runtime
Max savings ~65% output tokens ~80% on shell commands Up to 96% total
Input compression โŒ โœ… (filtered) โœ… Repo map + neural memory
Output compression โœ… (caveman-speak) โŒ โœ… Zero-token deterministic edits
Local LLM โŒ โŒ โœ… Built-in llama.cpp
Multi-agent โŒ โŒ โœ… 64 โ†’ 600 local agents
Memory across sessions โŒ โŒ โœ… FTS + vector recall
Evidence chain โŒ โŒ โœ… sha256 sealed receipts
Language JS/Python (skill) Rust (binary) Rust (single binary)
License MIT Apache 2.0 Proprietary
Stars 72.5k 62.2k โญ You're early

Bottom line: Caveman makes the AI talk less. RTK makes commands output less. Simplicio makes the AI think less โ€” by remembering, mapping, editing deterministically, and running locally before ever touching a paid LLM.

| Simplicio saves 96% where Caveman saves 65% and RTK saves 80%. |


๐Ÿ—๏ธ Architecture

LLM (Claude/Codex/Gemini)          Simplicio Runtime (Rust)
  |                                   |
  | 1. Orient                         | simplicio map
  | 2. Recall                         | simplicio memory
  | 3. Decide                         |
  | 4. Edit  โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€> | simplicio edit (0 tokens)
  | 5. Verify <โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€  | simplicio deliver certify
  | 6. Iterate                        | simplicio coding-loop

The LLM reasons. Simplicio executes deterministically.


โœจ Features

  • ๐Ÿ  Local-first โ€” built-in llama.cpp, scales to remote only when needed
  • ๐Ÿชœ Tiered agents โ€” 64 โ†’ 100 โ†’ 200 โ†’ 600 local agents before paid cloud
  • ๐Ÿ”‡ Shannon novelty gate โ€” filters redundant outputs (zero tokens on dedup)
  • ๐Ÿ”’ Sealed receipts โ€” sha256 per artifact, tamper-proof evidence chain
  • ๐Ÿ›ก๏ธ 5 delivery gates โ€” acceptance, validation, run-verify, regression, self-review
  • โšก Action gate โ€” risk classification + blocklist for chat-initiated mutations
  • ๐Ÿ”Œ MCP/ACP โ€” Model Context Protocol + Agent Client Protocol
  • ๐ŸŒ Gateways โ€” Telegram, Discord, Slack, WhatsApp
  • ๐Ÿงฉ Skill system โ€” loads and chains reusable capabilities
  • ๐Ÿ’พ Memory DB โ€” persistent FTS + vector recall across sessions
  • ๐Ÿ”€ LLM router โ€” no LLM โ†’ local LLM โ†’ remote LLM automatically
  • ๐Ÿ–ฅ๏ธ Cross-platform โ€” macOS, Linux, Windows, single binary

๐ŸŽ Public Beta

Deterministic commands are FREE forever: map, validate, edit, deliver, checkpoint

AI features may be free while the public beta flag is active. Login and an active entitlement are still required; when beta access ends, the entitlement must come from an active subscription.

simplicio license status

๐Ÿ“‹ Requirements

Requirement Minimum Recommended
RAM 8 GB 16 GB+
Storage 5 MB 1.5 GB (with local LLM)
OS macOS 13+, Linux, Windows 10+ macOS ARM64
Terminal any modern terminal WezTerm / Alacritty / Ghostty

๐Ÿงช Testing this repo's tooling

This repo ships committed release binaries plus the packaging/tooling around them (npm/PyPI wrappers, install scripts, a distribution-consistency checker). The official command to run that tooling's unit test suite:

pip install -r requirements-dev.txt
python -m pytest tests/unit -v --cov=scripts --cov-report=term-missing --cov-fail-under=85

See docs/testing-strategy.md for what's covered, what's intentionally out of scope, and the plan for the rest of the testing epic. See also CONTRIBUTING.md.


๐ŸŒ Ecosystem

  • Website โ€” full docs, benchmarks, install
  • Discord โ€” community and support

๐Ÿ“„ License

Proprietary. Binary free to download and use. AI features free during the public beta. See LICENSE.


โญ Star History

Star History Chart

๐Ÿ’ฌ Community


๐Ÿ”ฅ Simplicio โ€” Your code, your machine, 96% cheaper. ๐Ÿ”ฅ

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๐Ÿ”ฅ Save up to 96% tokens โ€” more than Caveman (65%) or RTK (80%). AI coding agent: chat, map, edit, multi-agent. Single Rust binary.

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