MemTensor/memmy-agent
๐ A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context โ all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.
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+50
STARS ยท LAST 30 DAYS
2
PER DAY
#317
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +50 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +1 | +4 | +10 |
memmy-agent gained 50 stars in the last 30 days, about 2 a day, and now has 2K. It is about 1 year old and has averaged roughly 2K stars a year. It ranks #317 among TypeScript repositories and #2,437 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#3019
BEST RANK
Sep 30, 2026
FIRST APPEARANCE
Active
STATUS TODAY
memmy-agent has maintained a continuous presence across global trending indexes, peaking at #3019. Below is the 30-day activity profile:
๐ก Overview
memmy-agent is an open-source project written in TypeScript: ๐ A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context โ all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agentic-ai, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก Key Features
Optimized execution pipeline written in TypeScript 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.
๐ฅ Installation
$ npm install memmy-agentโ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Node.js >= 18, npm, pnpm or bun
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
memmy-agent coordinates its core functionality through a modular TypeScript 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.
๐ฏ Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with memmy-agent.
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.
๐ Getting Started
Install memmy-agent using your package manager: `npm install memmy-agent`
Initialize your project workspace or configuration file for memmy-agent.
Import memmy-agent into your codebase or invoke it directly from your terminal.
Execute your test suite or run `memmy-agent --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
MemTensor/memmy-agent is currently ranked #2,437 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,432 | castwide/solargraph | Ruby | โ 2K | Compare โ |
| #2,433 | dahlia/logtape | TypeScript | โ 2K | Compare โ |
| #2,433 | justcoding121/titanium-web-proxy | C# | โ 2K | Compare โ |
| #2,435 | libharu/libharu | C | โ 2K | Compare โ |
| #2,436 | scraly/developers-conferences-agenda | JavaScript | โ 2K | Compare โ |
| #2,437 | MemTensor/memmy-agent This Project | TypeScript | โ 2K | |
| #2,438 | git-tfs/git-tfs | C# | โ 2K | Compare โ |
| #2,439 | unjs/fontaine | TypeScript | โ 2K | Compare โ |
| #2,440 | jaz303/tipsy | JavaScript | โ 2K | Compare โ |
| #2,441 | Start9Labs/start-technologies | Rust | โ 2K | Compare โ |
| #2,442 | fluid-cloudnative/fluid | Go | โ 2K | Compare โ |
Frequently Asked Questions
What does memmy-agent do? +
๐ A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context โ all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.
What language is memmy-agent written in? +
The primary language is TypeScript. Topics include: agent, agentic-ai, ai-agents, chatgpt, claude-code.
Is memmy-agent actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 37 open issues being tracked.
How many stars does memmy-agent have? +
memmy-agent has 2,000 stars and 194 forks on GitHub.
How does memmy-agent rank among GitHub repositories? +
With 2,000 stars, MemTensor/memmy-agent is ranked #2,437 globally across all repositories tracked on GitHubRepo and #317 among TypeScript projects.
What license is memmy-agent distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
