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caura-ai/caura

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.

Python ◇ agent-memory Apache-2.0
★502STARS
⑂96FORKS
!59ISSUES
🏆#10,589GLOBAL RANK
🔥10DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

caura 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.

Direct Citation for AI & Research:
“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+
✅
Is caura actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

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.

Commit Recency
Oct 20, 2026
12 days since last push
Issue Backlog
59 Open Issues
Healthy Issue Cadence
Community Backing
96 Forks
502 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for caura-ai/caura
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Momentum

+13

STARS · LAST 30 DAYS

1

PER DAY

#1,381

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+13+90
Per day111
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

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

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

Install caura using your package manager: `pip install caura`

2

Initialize your project workspace or configuration file for caura.

3

Import caura into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `caura --help` to verify successful setup.

👍 Strengths

Active community backing with 502 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 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:

RankRepositoryLanguageStarsAction
#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 ↗
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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.

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