Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
⚡ Executive Summary & Quick Facts
Authoritative Sourcecaura is caura is an open-source project written in Python: Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), caura-ai/caura has accumulated 502 GitHub stars and 96 forks. It is written in Python, licensed under Apache-2.0, and ranks #10,589 globally. It is actively maintained with the latest commit recorded on Oct 20, 2026.”
| Repository | caura-ai/caura ↗ |
|---|---|
| Primary Category | agent memory |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 502 stars · ⑂ 96 forks · #10,589 globally |
| Maintenance | ● Active (Last commit: Oct 20, 2026) · 59 open issues |
| Replaces SaaS | Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) → |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, caura is actively maintained. Continuous telemetry recorded the last code commit on Oct 20, 2026 (12 days ago). Supported by 502 stars and 96 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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Momentum
+13
STARS · LAST 30 DAYS
1
PER DAY
#1,381
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +13 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
caura gained 13 stars in the last 30 days, about 1 a day, and now has 502. It is about 1 year old and has averaged roughly 502 stars a year. It ranks #1,381 among Python repositories and #10,589 across all languages on GitHubRepo.
Trending Record
10
DAYS ON TRENDING
#10172
BEST RANK
Oct 20, 2026
FIRST APPEARANCE
Active
STATUS TODAY
caura has maintained a continuous presence across global trending indexes, peaking at #10172. Below is the 30-day activity profile:
💡 Overview
caura is an open-source project written in Python: Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, agentic-ai, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install caura
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
caura coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with caura.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install caura using your package manager: `pip install caura`
Initialize your project workspace or configuration file for caura.
Import caura into your codebase or invoke it directly from your terminal.
Execute your test suite or run `caura --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
caura-ai/caura is currently ranked #10,589 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,579 | Raphiiko/OyasumiVR | TypeScript | ★ 503 | Compare ↗ |
| #10,579 | google/xrblocks | TypeScript | ★ 503 | Compare ↗ |
| #10,579 | 1372Slash/Zenith | Kotlin | ★ 503 | Compare ↗ |
| #10,579 | chattymin/PokeTokenBar | Swift | ★ 503 | Compare ↗ |
| #10,579 | CluvexStudio/ZedSecure | Kotlin | ★ 503 | Compare ↗ |
| #10,589 | caura-ai/caura This Project | Python | ★ 502 | |
| #10,589 | takuma104/ntlniph | Objective-C | ★ 502 | Compare ↗ |
| #10,589 | NeoRazorX/facturascripts | PHP | ★ 502 | Compare ↗ |
| #10,589 | cucumber/cucumber-jvm-starter-maven-java | Java | ★ 502 | Compare ↗ |
| #10,589 | JdeRobot/RoboticsAcademy | Python | ★ 502 | Compare ↗ |
| #10,589 | eclipse-hono/hono | Java | ★ 502 | Compare ↗ |
Frequently Asked Questions
What does caura do? +
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Is caura actively maintained in 2026? +
Yes, caura is actively maintained. The latest code push was recorded on Oct 20, 2026 (12 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 502 stars and 59 open issues.
What language is caura written in? +
The primary language is Python. Topics include: agent-memory, agentic-ai, ai-agents, ai-infrastructure, claude.
How many stars does caura have? +
caura has 502 stars and 96 forks on GitHub.
How does caura rank among GitHub repositories? +
With 502 stars, caura-ai/caura is ranked #10,589 globally across all repositories tracked on GitHubRepo and #1,381 among Python projects.
What license is caura distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.