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gini-agent MCP Server

Open-Curiosity/gini-agent

Score: 60.3 Rank #6202 MCP Server
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The agent that remembers and learns.

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Overview

Open-Curiosity/gini-agent is a TypeScript tool licensed under MIT. The agent that remembers and learns. Topics: agent, agent-runtime, ai-agent, bun, llm, local-first, mcp, nextjs, personal-agent, typescript.

Ranked #6202 out of 24846 indexed tools.

Has 1,972 GitHub stars.

Ecosystem

TypeScript MIT
agentagent-runtimeai-agentbunllmlocal-firstmcpnextjspersonal-agenttypescript

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,972

1,972 stars → well-known project

Freshness 25% 3mo ago

Last commit 3mo ago → stale

Issue Health 25% 77%

89/116 issues closed → decent issue management

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 802
Description Brief
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 116 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

topic:mcp

From the README

# Gini Agent

Gini Agent is a personal agent that remembers, improves, and runs without forcing you to read a log line.

Gini is not just a chat box, CLI, messaging bot, or pile of tools. Chat is an interaction surface. The runtime is the system of record for conversations, runs, tasks, approvals, memory, skills, jobs, tools, traces, audit events, and runtime health.

It's also built to be a product, not plumbing. When the agent needs you, it hands you a purpose-built control right where the work is — a secure field, a choice, a sign-in handoff, a confirm-before-send — instead of a prose instruction or a detour. And because every client speaks the same runtime, those controls reach you on your phone as readily as the desktop, so the machine the agent runs on is not where you have to be.

## Docs

- [Whitepaper](docs/whitepaper.md): the gaps this project is closing and the bar it's measured against
- [Architecture Overview](docs/architecture-overview.md): gateway/client map
- [Gateway A
Read full README on GitHub →

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