Open source software factory infrastructure for advanced AI coding workflows
12,000+ open source STEP parts for your next CAD project
HotPlex — Unified access layer for AI Coding Agent.
One prompt. Full delivery.
Your Intelligence, Orchestrated. Every builder. Every team. Every agent. For Everyone.
Let Your AI Play Detroit:Become Human
An MCP server that lets LLM agents play Civilization VI.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
An Orchestrate multiple coding agent desktop app
Containment for AI agents - user isolation, sandboxed execution, network controls, backup/rollback. TLA+ verified.
Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.
GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite
AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion
Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.
Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.
Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.
Agenta is a workspace where you and your team build agents and automations.

Deterministic safety solutions for probabilistic AI agents
BootAgent is a local management tool of AI agents. It turns a fresh machine into a usable, repeatable setup without asking you to edit several tool-specific config files by hand.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Agentic coding framework powered by AGENTS.md: systematic, test-first workflows with quality gates for Cursor, Codex, Gemini CLI, and AI coding agents.
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.