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OvidijusParsiunas
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OvidijusParsiunas/deep-chat

Fully customizable AI chatbot component for your website

TypeScript ◇ ai MIT
★3.7KSTARS
⑂458FORKS
!44ISSUES
🏆#3,672GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

deep-chat is deep-chat is an open-source project written in TypeScript: Fully customizable AI chatbot component for your website.. 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 November 2026), OvidijusParsiunas/deep-chat has accumulated 3,740 GitHub stars and 458 forks. It is written in TypeScript, licensed under MIT, and ranks #3,672 globally. It is actively maintained with the latest commit recorded on Oct 24, 2026.”
Repository OvidijusParsiunas/deep-chat ↗
Primary Category ai
Language & Stack TypeScript
Software License MIT
Community Traction ★ 3.7K stars · ⑂ 458 forks · #3,672 globally
Maintenance ● Active (Last commit: Oct 24, 2026) · 44 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 TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is deep-chat actively maintained in 2026?
Verdict: Actively Maintained

Yes, deep-chat is actively maintained. Continuous telemetry recorded the last code commit on Oct 24, 2026 (19 days ago). Supported by 3,740 stars and 458 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (19 days ago) and healthy issue cadence.

Commit Recency
Oct 24, 2026
19 days since last push
Issue Backlog
44 Open Issues
Healthy Issue Cadence
Community Backing
458 Forks
3.7K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for OvidijusParsiunas/deep-chat
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Momentum

+11

STARS · LAST 30 DAYS

1

PER DAY

#560

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+0+11+90
Per day111
Forks gained+0+2+23

deep-chat gained 11 stars in the last 30 days, about 1 a day, and now has 3.7K. It is about 4 years old and has averaged roughly 935 stars a year. It ranks #560 among TypeScript repositories and #3,672 across all languages on GitHubRepo.

Trending Record

deep-chat has maintained a continuous presence across global trending indexes, peaking at #800. Below is the 30-day activity profile:

💡 Overview

deep-chat is an open-source project written in TypeScript: Fully customizable AI chatbot component for your website.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-chatbot, chat. 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 TypeScript 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
$ npm install deep-chat

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

deep-chat 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.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with deep-chat.

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 deep-chat using your package manager: `npm install deep-chat`

2

Initialize your project workspace or configuration file for deep-chat.

3

Import deep-chat into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 3,721 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript 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 TypeScript 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 →
F
freeCodeCamp/freeCodeCamp ★ 458.9K TypeScript

freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.

Compare ↗
R
morluto/rea ★ 430.5K TypeScript

Reverse engineer anything with agents, from app behavior down to native binaries.

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O
openclaw/openclaw ★ 394.3K TypeScript

The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

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D
deepseek-ai/deepseek-harness ★ 267K TypeScript

DeepSeek Harness: Everything is a Plugin.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

OvidijusParsiunas/deep-chat is currently ranked #3,672 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,665 sozu-proxy/sozu Rust ★ 3.7K Compare ↗
#3,665 charmbracelet/glamour Go ★ 3.7K Compare ↗
#3,669 wjakob/nanobind C++ ★ 3.7K Compare ↗
#3,670 kvcache-ai/AgentENV Rust ★ 3.7K Compare ↗
#3,671 samber/cc-skills-golang Go ★ 3.7K Compare ↗
#3,672 OvidijusParsiunas/deep-chat This Project TypeScript ★ 3.7K
#3,673 schemathesis/schemathesis Python ★ 3.7K Compare ↗
#3,674 gmh5225/awesome-game-security Python ★ 3.7K Compare ↗
#3,675 microsoft/WinUI-Gallery C# ★ 3.7K Compare ↗
#3,676 modelcontextprotocol/java-sdk Java ★ 3.7K Compare ↗
#3,677 thoughtbot/clearance Ruby ★ 3.7K Compare ↗
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Frequently Asked Questions

What does deep-chat do? +

Fully customizable AI chatbot component for your website

Is deep-chat actively maintained in 2026? +

Yes, deep-chat is actively maintained. The latest code push was recorded on Oct 24, 2026 (19 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 3,740 stars and 44 open issues.

What language is deep-chat written in? +

The primary language is TypeScript. Topics include: ai, ai-chatbot, chat, chatbot, chatgpt.

How many stars does deep-chat have? +

deep-chat has 3,740 stars and 458 forks on GitHub.

How does deep-chat rank among GitHub repositories? +

With 3,740 stars, OvidijusParsiunas/deep-chat is ranked #3,672 globally across all repositories tracked on GitHubRepo and #560 among TypeScript projects.

What license is deep-chat distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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