customizable-gpt-chatbot — MCP Server by shamspias

by shamspias · MCP Server · ★ 392

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About customizable-gpt-chatbot

Veldra Talk an agent into existence. A self-hostable, local-first agent-harness platform. Describe what you need in plain language — Veldra compiles it into a working agent: its policy, tools, skills, a RAG knowledge base, a reasoning method, even a whole team. Route a task to the right agent automatically, connect external tools over MCP, and reshape anything later just by talking to it. Agents learn from your feedback and improve. The one load-bearing idea: an agent is data, not code — a versioned row in Postgres. "Build me an agent" = compile natural language → validated . "Change it" = a JSON-Patch you approve. The runtime is a pure interpreter of that spec. ✨ Highlights Type a task — it routes or builds. A smart composer auto-selects the best existing agent for what you typed, o

agent-harnessartificial-intelligenceautogptchatbotclaude-skillsconversational-aidata-preprocessingharnessharness-engineeringharness-skills

Quick Facts

Stars392
Forks88
LanguagePython
CategoryMCP Server
Quality Score61.7394994579435/100
Last Updated2026-06-18
Created2023-01-21
Platformsclaude-code, mcp, python
Est. Tokens~16k

Compatible Skills

These tools work well together with customizable-gpt-chatbot for enhanced workflows:

  • agent-skills — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
  • bolna — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • AI-Voice-Agent — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • SkillX — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • spacy-llm — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)

customizable-gpt-chatbot alternative? Top 6 similar tools

Looking for a customizable-gpt-chatbot alternative? If you're comparing customizable-gpt-chatbot with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • omnicoreagent by omnirexflora-labs · ⭐ 241

    Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, backgro

  • Autono by vortezwohl · ⭐ 212

    A ReAct-Based Highly Robust Autonomous Agent (Harness) Framework.

  • DemoGPT by melih-unsal · ⭐ 1.9k

    🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.

  • spacy-llm by explosion · ⭐ 1.4k

    🦙 Integrating LLMs into structured NLP pipelines

  • ios-simulator-skill by conorluddy · ⭐ 1.1k

    An IOS Simulator Skill for ClaudeCode. Use it to optimise Claude's ability to build, run and interact with you

  • free-ai-resources-x by CelaDaniel · ⭐ 517

    🌟 A curated collection of free, high quality AI tools 🤖, APIs 🔗, datasets 📊, and learning resources 📚 cov

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Frequently Asked Questions

What is customizable-gpt-chatbot?

customizable-gpt-chatbot is Veldra — talk an agent into existence, then watch it grow. A self-hostable, local-first agent platform: describe what you need in plain language and it compiles a working agent tools, MCP, RAG, teams. It is categorized as a MCP Server with 392 GitHub stars.

What programming language is customizable-gpt-chatbot written in?

customizable-gpt-chatbot is primarily written in Python. It covers topics such as agent-harness, artificial-intelligence, autogpt.

How do I install or use customizable-gpt-chatbot?

You can find installation instructions and usage details in the customizable-gpt-chatbot GitHub repository at github.com/shamspias/customizable-gpt-chatbot. The project has 392 stars and 88 forks, indicating an active community.

What are the best alternatives to customizable-gpt-chatbot?

The top alternatives to customizable-gpt-chatbot on Agent Skills Hub include omnicoreagent, Autono, DemoGPT. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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