mcp-server

gini-agent: Create a memory‑rich AI assistant that learns as you work

gini-agent lets founders add a personal, learning AI agent to their apps—built in TypeScript, local‑first, with 2.0k+ GitHub stars.

From the repo · “The agent that remembers and learns.”

2,157 stars+136★ this week900 forksTypeScriptGuide quality 9/10 · reviewed Oct 19Updated 7/18/2026100% free · open source
What it does

The gini-agent is an AI-powered tool that learns and automates tasks for your startup, allowing for more efficient and autonomous operations.

When to use it
  • •When you need to automate repetitive tasks without manual intervention
  • •When your startup requires a customized AI agent for specific workflows
  • •When you want to leverage machine learning for task automation without extensive coding
Ready-to-paste prompt
node src/agent.js --task 'automate_customer_support' --learning_rate 0.1
Heads up: Ensure you have Node.js version 16 or higher installed, as the gini-agent is built with TypeScript and requires this version for compatibility
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/gini-agent && curl -fsSL https://workflowstacks.com/api/skills/gini-agent/claude-skill -o ~/.claude/skills/gini-agent/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How gini-agent: Create a memory‑rich AI assistant that learns as you work works
Codeflow
Free to inspect

Gini-agent: Create a memory‑rich AI assistant that learns as you work is a very large TypeScript project (~290k lines across 799 code files, plus 7 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit 3 months ago, MIT license, has a test suite.

Size
Very large codebase
~290k lines · 799 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
No API keys detected
TypeScript 99%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    skills/README.md
    Inside skills/ — an example of what the AI is told to do
What's in each folder
skills/Prompts, skills & agent definitions49 files
packages/web/Frontend / UI260 files
docs/Documentation120 files
packages/runtime/Package465 files
packages/mobile/Package85 files
scripts/Helper scripts5 files
docker/Deployment / infrastructure1 files
patches/Patches1 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated 3 mo ago
Quick Actions
Details
Creator
Open-Curiosity
Language
TypeScript
Category
mcp-server
Published
5/5/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/gini-agent.svg)](https://workflowstacks.com/skills/gini-agent?utm_source=github&utm_medium=badge)
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