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nambok/mentedb

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.

Rust ◇ agent-memory Apache-2.0
★119STARS
⑂8FORKS
!5ISSUES
🏆#24,566GLOBAL RANK
🔥23DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

mentedb is mentedb is an open-source project written in Rust: A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), nambok/mentedb has accumulated 119 GitHub stars and 8 forks. It is written in Rust, licensed under Apache-2.0, and ranks #24,566 globally. It is actively maintained with the latest commit recorded on Oct 15, 2026.”
Repository nambok/mentedb ↗
Primary Category agent memory
Language & Stack Rust
Software License Apache-2.0
Community Traction ★ 119 stars · ⑂ 8 forks · #24,566 globally
Maintenance ● Active (Last commit: Oct 15, 2026) · 5 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is mentedb actively maintained in 2026?
Verdict: Actively Maintained

Yes, mentedb is actively maintained. Continuous telemetry recorded the last code commit on Oct 15, 2026 (28 days ago). Supported by 119 stars and 8 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (28 days ago) and healthy issue cadence.

Commit Recency
Oct 15, 2026
28 days since last push
Issue Backlog
5 Open Issues
Healthy Issue Cadence
Community Backing
8 Forks
119 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for nambok/mentedb
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,286

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

mentedb gained 10 stars in the last 30 days, about 1 a day, and now has 119. It is about 1 year old and has averaged roughly 119 stars a year. It ranks #2,286 among Rust repositories and #24,566 across all languages on GitHubRepo.

Trending Record

mentedb has maintained a continuous presence across global trending indexes, peaking at #15088. Below is the 30-day activity profile:

💡 Overview

mentedb is an open-source project written in Rust: A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, 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 Rust 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
$ cargo install mentedb

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

mentedb coordinates its core functionality through a modular Rust 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 mentedb.

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 mentedb using your package manager: `cargo install mentedb`

2

Initialize your project workspace or configuration file for mentedb.

3

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

4

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

👍 Strengths

Active community backing with 119 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust 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 Rust 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

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

nambok/mentedb is currently ranked #24,566 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#24,467 beipo-ai/NorthCUA Python ★ 120 Compare ↗
#24,467 Ashley-QwQ/disc-probe Python ★ 120 Compare ↗
#24,467 Lowbetweentrim/crypto-portfolio-tracker Python ★ 120 Compare ↗
#24,467 SparkofSpike/Brain4Agent Python ★ 120 Compare ↗
#24,467 BankerInterface/youtube-seo-optimizer Python ★ 120 Compare ↗
#24,566 nambok/mentedb This Project Rust ★ 119
#24,566 rvirding/leex Erlang ★ 119 Compare ↗
#24,566 rnk/django-media-bundler Python ★ 119 Compare ↗
#24,566 simongregory/actionscript3-tmbundle ActionScript ★ 119 Compare ↗
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Frequently Asked Questions

What does mentedb do? +

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.

Is mentedb actively maintained in 2026? +

Yes, mentedb is actively maintained. The latest code push was recorded on Oct 15, 2026 (28 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 119 stars and 5 open issues.

What language is mentedb written in? +

The primary language is Rust. Topics include: agent-memory, ai, ai-agents, cognitive-architecture, context-window.

How many stars does mentedb have? +

mentedb has 119 stars and 8 forks on GitHub.

How does mentedb rank among GitHub repositories? +

With 119 stars, nambok/mentedb is ranked #24,566 globally across all repositories tracked on GitHubRepo and #2,286 among Rust projects.

What license is mentedb distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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