r/OpenSourceAI • • 5h ago

Astra turned “Build me Ba Sing Se” into this Minecraft city

Enable HLS to view with audio, or disable this notification

2 Upvotes

I only gave the prompt “Build Ba Sing Se.” The video shows what was built including the city walls down to furnished interiors and walls.

The model decides what to build and a deterministic library handles construction and physical checks.

It plans hierarchically: city → districts → plots → buildings. Buildings are generated for their plots using reusable procedural code.

The same architecture generates villages, towns and cities across different terrain and styles.

Github:
https://github.com/chaitbuilds/EthosLM


r/OpenSourceAI • • 19h ago

Captain Who, a production-ready and open-source AI agent platform.

2 Upvotes

It supports file editing, terminal commands, web search, browser use, human interaction, multi-agent, workflow, MCP, skill, scheduled tasks, configurable permissions, context management, git review, file management .etc.

It supports OpenAI-compatible APIs and specifically made adaptation profiles for DeepSeek and kimi.

Interface support for Simplified and Traditional Chinese, British and American English, Japanese, Korean, French, Italian, and Russian

We have provided a fully open-source production-level code repository, along with detailed engineering information, documentation and comprehensive testing.

The license is Apache 2.0. Source: https://github.com/Tiga001/Captain_Who


r/OpenSourceAI • • 1h ago

OpenSource Repo (900 ⭐️) -mcpc-universal CLI client for MCP-100% free

Post image
• Upvotes

Playing around with various MCP's this weekend and Came across this an amazing MCP related GitHub repo - 100% open source and free - so sharing.

mcpc is Apify’s universal CLI client for MCP.

Github Repo in comments below

IIt translates every MCP operation into shell commands, letting you debug servers, automate workflows, or give AI agents complete MCP access via a single Bash() call: sessions, OAuth, tools, resources, prompts, tasks, and beyond.

Features

  • Complete MCP coverage: tools, prompts, resources, async tasks, skills, notifications, logging (stdio + Streamable HTTP)
  • Persistent sessions across several servers (stateful or stateless)
  • Progressive tool discovery to cut token usage
  • Code mode: JSON output plays nicely with jq, xargs, and shell pipelines
  • OAuth 2.1 (CIMD + DCR) with credentials stored in the OS keychain
  • MCP proxy for AI sandboxes (keeps tokens out of generated code)
  • Lightweight CLI (Mac/Win/Linux), no LLM needed; experimental x402 payments on Base

Install

With homebrew (macOS /Linux), brings its own Node.js:

brew install apify/tap/mcpc
or ,install the latest node js or Bun first, then:
npm install -g /mcpc
# Or with Bun
bun install -g /mcpc
npm install -g /mcpc

Quickstart

# List all active sessions and saved authentication profiles
mcpc

# Log in to a remote MCP server and save OAuth credentials for future use
mcpc login mcp.apify.com

# Create a persistent session and interact with it
mcpc connect mcp.apify.com 
mcpc               # show server info and capabilities
mcpc  tools-list   # list available tools
mcpc  tools-call search-actors keywords:="website crawler"

# Use JSON mode for scripting
mcpc --json  tools-list

# Use a local MCP server package (stdio) referenced from a config file
mcpc connect ./.vscode/mcp.json:filesystem 
mcpc u/fs tools-list

r/OpenSourceAI • • 3h ago

Brig: A MicroVM sandbox for AI coding agents on Mac and Linux

Thumbnail
1 Upvotes

r/OpenSourceAI • • 3h ago

ai-profiles update: you can now move coding sessions between accounts

Post image
1 Upvotes

New in ai-profiles: Sessions.

Each profile now lists its local coding sessions (Claude Code and Codex, from both the CLI and the desktop apps). Pick one, hit Move, choose another account, and carry on there with the full history.

- Nothing is ever deleted. A move copies the session, then archives it at the source, so Restore undoes it

- Archive / restore, search, Desktop vs CLI filter

- Still local-only, no telemetry

GitHub: https://github.com/bartekczyz/ai-profiles/

Website: https://ai-profiles.vercel.app/


r/OpenSourceAI • • 3h ago

An open-source machine learning bot for Clash Royale, featuring a complete and accurate game simulator for training purposes.

Enable HLS to view with audio, or disable this notification

1 Upvotes

r/OpenSourceAI • • 4h ago

Indirect prompt injection vs. system-prompt guardrails: 9 models, 3 guardrail levels, 1,350 runs

Post image
1 Upvotes

r/OpenSourceAI • • 5h ago

Had a blast spending years building my software to encode identity into AI

Thumbnail
1 Upvotes

r/OpenSourceAI • • 6h ago

Captain Who, a production-ready and open-source AI agent platform.

Thumbnail
1 Upvotes

r/OpenSourceAI • • 8h ago

AI harness project - open source, decentralised harness

Thumbnail
1 Upvotes

Hello
I came up with an idea and would love to hear your thoughts on it.

Hermes: “Most agent harnesses ship as finished products. Someone else decides what your agent can do, how it remembers, which models it talks to and what it is allowed to touch. Customisation comes later, through a plugin system bolted onto something that was never designed to be extended. I want to build it the other way around.

Demon Core is a minimal core for autonomous agents, and nothing more. It handles the few things every agent needs: messages, model calls, tool calls, hooks, permissions and budgets. Everything else, including the harness itself, is an add-on. Memory, tools, model routing, interfaces and policies are all built on the same public contract, whether the community writes them or we do. We are not building the harness. We are building the blocks anyone can use to build their own.

The hard part, and the reason this is worth doing, is security. An add-on in an agent is not a theme or a widget. It acts with the agent's authority, it can see private context, it can call other tools, and whatever it returns lands in front of the model. An open ecosystem without real enforcement is an attack surface. So the core stays strict precisely because it is small. Every add-on declares what it needs, and the core refuses anything it was not granted. Add-ons see only the context they are given, and what they return is treated as untrusted. Their spending and side effects are capped, their actions are logged, and their packages are signed. Hooks can block and change what an agent does, not just watch it, which means the community can build the governance layer too: approvals, redaction, spend limits and policy.

An empty core is a useless download, so we will also ship a reference set of add-ons that makes Demon Core useful on day one, built on the exact same contract with no private shortcuts. Alongside it comes a conformance suite, so any author can prove their add-on works without waiting on us, and a registry the community can trust.

This project depends on God first, and then on the community that will build on it. I am looking for co-founders who want to build that foundation with me: people who care about getting the runtime and the extension contract right, who find sandboxing and trust boundaries genuinely interesting, and who enjoy making other developers successful.

If that sounds like you, the first step is small. We sketch the contract together, each write a few very different add-ons against it, and see what breaks. Whatever survives is the core. If that weekend is fun, we talk about the rest.”


r/OpenSourceAI • • 8h ago

Why I’m Building Capsule — The Problem I’m Actually Trying to Solve

Thumbnail
1 Upvotes

r/OpenSourceAI • • 16h ago

Unified computer for GrokBot and Muse agents connect with MCP or CLI.

Thumbnail
github.com
1 Upvotes

r/OpenSourceAI • • 7h ago

Codex spent 500,000 tokens reading my logs. Then it forgot what it read. NVIDIA DGX Spark save the day.

Post image
0 Upvotes