Install · Features · 96% Savings · Website
🌍 Languages:
🇬🇧 English |
🇧🇷 Português |
🇪🇸 Español |
🇫🇷 Français |
🇯🇵 日本語 |
🇰🇷 한국어 |
🇨🇳 简体中文 |
🇮🇹 Italiano |
🇷🇺 Русский |
🇵🇱 Polski |
🇮🇳 हिन्दी |
🇸🇦 العربية |
🇮🇱 עברית |
🇲🇾 Bahasa Melayu |
🇮🇩 Bahasa Indonesia
Simplicio is a terminal AI coding agent — a single binary that replaces your entire AI-assisted development workflow: chat, code generation, repository context, planning, local multi-agent orchestration (64 → 600 agents), and evidence-backed PR delivery.
Runs on your machine. Your code never leaves your control. Remote models are optional, not required.
🔥 Save up to 96% of tokens vs traditional agents — more than Caveman (65%) or RTK (80%). Every interaction shows exactly how many tokens you saved. Single Rust binary, zero deps.
npx simplicio installpip install simplicio-installer
simplicio installbrew install simpliciobunx simplicio installcurl -fsSL https://raw.githubusercontent.com/wesleysimplicio/simplicio/main/install.sh | shpowershell -c "irm https://raw.githubusercontent.com/wesleysimplicio/simplicio/main/install.ps1 | iex"Done. One command. No package manager, no model configuration.
Without Simplicio: every AI session rediscovers your repo, loads too much context, repeats prompts, burns paid tokens.
With Simplicio:
| Optimization | Savings |
|---|---|
| 🗺️ Repo Map — compressed context instead of reading raw files | ~70% |
| 🧠 Memory Recall — known facts are not re-derived | ~80% |
| ✏️ Deterministic Editing — changes without spending LLM tokens | 100% (output) |
| 🏠 Local LLM — classification, summarization, low-risk edits | ~90% |
| 📡 Remote LLM — only for planning and complex decisions | ~85% |
| 🔀 Local Fan-out — 64→600 agents before scaling to cloud | ~95% |
| 💎 Combined: up to 96% total savings | ~96% |
Every Simplicio response shows real savings: Simplicio: ~X tokens spent · saved ~Y (Z%)
| 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 |
| 🪨 Caveman | 🔧 RTK | 🔥 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 | ❌ | ✅ (filtered) | ✅ Repo map + neural memory |
| Output compression | ✅ (caveman-speak) | ❌ | ✅ Zero-token deterministic edits |
| Local LLM | ❌ | ❌ | ✅ Built-in llama.cpp |
| Multi-agent | ❌ | ❌ | ✅ 64 → 600 local agents |
| Memory across sessions | ❌ | ❌ | ✅ FTS + vector recall |
| Evidence chain | ❌ | ❌ | ✅ sha256 sealed receipts |
| Language | JS/Python (skill) | Rust (binary) | Rust (single binary) |
| License | MIT | Apache 2.0 | Proprietary |
| Stars | 72.5k | 62.2k | ⭐ You're early |
Bottom line: Caveman makes the AI talk less. RTK makes commands output less. Simplicio makes the AI think less — 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%. |
LLM (Claude/Codex/Gemini) Simplicio Runtime (Rust)
| |
| 1. Orient | simplicio map
| 2. Recall | simplicio memory
| 3. Decide |
| 4. Edit ───────────────────────> | simplicio edit (0 tokens)
| 5. Verify <───────────────────── | simplicio deliver certify
| 6. Iterate | simplicio coding-loop
The LLM reasons. Simplicio executes deterministically.
- 🏠 Local-first — built-in llama.cpp, scales to remote only when needed
- 🪜 Tiered agents — 64 → 100 → 200 → 600 local agents before paid cloud
- 🔇 Shannon novelty gate — filters redundant outputs (zero tokens on dedup)
- 🔒 Sealed receipts — sha256 per artifact, tamper-proof evidence chain
- 🛡️ 5 delivery gates — acceptance, validation, run-verify, regression, self-review
- ⚡ Action gate — risk classification + blocklist for chat-initiated mutations
- 🔌 MCP/ACP — Model Context Protocol + Agent Client Protocol
- 🌐 Gateways — Telegram, Discord, Slack, WhatsApp
- 🧩 Skill system — loads and chains reusable capabilities
- 💾 Memory DB — persistent FTS + vector recall across sessions
- 🔀 LLM router — no LLM → local LLM → remote LLM automatically
- 🖥️ Cross-platform — macOS, Linux, Windows, single binary
Deterministic commands are FREE forever:
map, validate, edit, deliver, checkpoint
AI features are free during the public beta with no end date. Billing will be defined in future updates.
simplicio license statusProprietary. Binary free to download and use. AI features free during the public beta. See LICENSE.
- Discord — chat, support, early access
- GitHub Issues — bugs and feature requests
🔥 Simplicio — Your code, your machine, 96% cheaper. 🔥