Coding & Development✨gemini🤖claude💬gpt🌐universal

Praxia

Multi-agent orchestrator with cyclic personal-to-org memory · Apache 2.0 · Python 3.11+

Quick Start

Install this Skill

npx skills add praxia-dev/praxia
# Praxia
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🌐 **Live**: [praxia.tools](https://praxia.tools/) (primary, Cloudflare) · [praxia-dev.github.io/praxia](https://praxia-dev.github.io/praxia/) (mirror, GitHub Pages) · [@praxia_dev](https://x.com/praxia_dev) on X

![Praxia hero](docs/images/hero-banner.svg)

[![Praxia — 60-second walkthrough](docs/images/demo-thumb.png)](https://youtu.be/o_6NbjJU1AA "▶ Click to watch (60s)")

<sub>📺 [Watch the 60-second walkthrough](https://youtu.be/o_6NbjJU1AA) · 🚀 [Quickstart](docs/quickstart.md) · 💬 [Discussions](https://github.com/praxia-dev/praxia/discussions)</sub>

> **Specialized Multi-Agent Orchestrator with Cyclic Personal/Organizational Memory**
>
> A workflow-specific multi-agent orchestrator that **automatically promotes** individual tacit knowledge into organizational know-how. Built on a 5-layer memory stack with three independent promotion paths.

[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE)
[![Python: 3.11+](https://img.shields.io/badge/python-3.11%2B-blue.svg)](https://www.python.org)
[![Status: Alpha](https://img.shields.io/badge/status-alpha-orange.svg)]()
[![Tests: 431](https://img.shields.io/badge/tests-431%20passing-green.svg)]()
[![Connectors: 20](https://img.shields.io/badge/connectors-20-blueviolet.svg)]()
[![Languages: 8](https://img.shields.io/badge/languages-en%20%C2%B7%20ja%20%C2%B7%20zh%20%C2%B7%20ko%20%C2%B7%20es%20%C2%B7%20fr%20%C2%B7%20de%20%C2%B7%20pt-blue.svg)]()
[![MCP: stdio + HTTP/SSE](https://img.shields.io/badge/MCP-stdio%20%2B%20HTTP%2FSSE-orange.svg)]()

> 🔍 Complete feature reference: [docs/FEATURES.md](docs/FEATURES.md)
> 📊 Concrete Before/After tables: [docs/use-cases.md](docs/use-cases.md)

---

## ⬇ **Try Praxia in 30 seconds — no Python, no setup**

### 👉 [**📦 Download Praxia Desktop for Windows (.exe, 147 MB)**](https://github.com/praxia-dev/praxia/releases/latest/download/Praxia.Desktop_0.1.0-3_x64-setup.exe)

Windows 10 / 11 x64 alpha · Tauri + embedded Python sidecar · zero
`pip install`, zero `praxia serve`. Paste an LLM API key (Anthropic /
OpenAI / Azure / Google / Qwen / HF / Ollama) and you're chatting.
Unsigned alpha — SmartScreen will warn on first launch, click
**"More info" → "Run anyway"**.

Other downloads · [`.msi` for managed deployment](https://github.com/praxia-dev/praxia/releases/latest/download/Praxia.Desktop_0.1.0-3_x64_en-US.msi)
· [all releases & notes](https://github.com/praxia-dev/praxia/releases/latest)
· macOS / Linux coming in Phase 1b.

---

## 🎯 Why Praxia?

General-purpose multi-agent frameworks (CrewAI, AutoGen, LangGraph, …) are powerful but stop short on these four problems:

| Problem with existing frameworks | Praxia's approach |
|---|---|
| Setup is complex; production deployment is hard | **Workflow-specific templates** (sales prep / logic check / RAG optimization) that run in 5 minutes |
| Senior-engineer "magic prompts" stay locked in one person's editor | **Personal-to-org auto-promotion pipeline** built in |
| "It works" doesn't prove "it works *well*" | **Hallucination detection + retrieval evals** shipped by default |
| Agents stagnate after launch | **Sleep-time consolidation** distills your past flows nightly |

Praxia turns "one expert's drawer" into "everyone's best practices."

---

## 👥 Who Praxia is for

| Persona | What they need | How Praxia fits | Typical year-1 result |
|---|---|---|---|
| **🏢 Information Systems / Platform team** (300–5,000 employees) | Roll out AI tools without paywalled SSO/RBAC/audit, on-prem option | Auth + RBAC + ACL + per-user OAuth + audit log all in OSS, self-hostable | 100 KW × ~$1.25M net benefit, full audit trail |
| **🏗️ Engineering / Product VP** (50–500 in scope) | Senior architect bottleneck; junior PM 12–18mo ramp | DesignSkill + sleep-time consolidation distills senior review patterns; Markdown+git frozen layer fits PR workflow | Senior load 16h/wk → 4h/wk; junior ramp 6–9mo |
| **⚖️ Legal / Compliance lead** (regulated industry) | 50–100 contracts/mo bottleneck; need *auditable* AI workflow without lock-in | LegalSkill (RACE) + read-only memory mode + per-user OAuth + every action audited; Apache 2.0 source for auditors | 60–90min → 10–15min/contract; throughput 50–80/mo → 200–300/mo |
| **🧪 OSS / Research integrator** | Build domain agent system without re-implementing auth, memory cycling, exporters | 7 plugin types (~50 LoC each); use as library, run `praxia serve` as backend, embed in LangGraph | Day-30: domain skill + custom connector + memory cycling working — **~3 weeks ahead o

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Repository
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Details
DiscoveredJun 6, 2026
Last UpdatedJun 6, 2026
Quality Score
38/100