shamspias/customizable-gpt-chatbot

shamspias

Python391updated 4mo ago

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. The more you use it, the better it gets agents learn from your feedback and reshape as you talk.

shamspias/customizable-gpt-chatbot in action

ClaudeCodexCursorMCP

agent-harnessartificial-intelligenceautogptchatbotclaude-skillsconversational-aidata-preprocessingharnessharness-engineeringharness-skillsmachine-learningnatural-language-processing

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README

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.

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The one load-bearing idea: an agent is data, not code — a versioned AgentSpec row in Postgres. "Build me an agent" = compile natural language → validated AgentSpec. "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, or builds a new agent from the prompt and drops you straight into its chat.
A real workspace, with sign-in. A first-run install wizard (name the workspace, check your providers, create the admin), then a sign-in gate. Invite teammates with roles — admin / member / viewer.
Plugins & MCP connectors. Built-in tools (calculator, web scraper, RAG search, HTTP, workspace files, …) are always on. Install external MCP connectors (Shopify, Alibaba, or any Streamable-HTTP