agentic-workflow

Imported as snapshot from GitHub: https://github.com/capsulerun/capsule

Secure runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.

Imported as snapshot from GitHub: https://github.com/GlitterKill/sdl-mcp

SDL-MCP gives coding agents the right code context, not your entire repo. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

Imported as snapshot from GitHub: https://github.com/marian2js/opengoat

Build organizations of OpenClaw agents that coordinate work across Codex, Claude Code, Cursor, OpenCode, and more 🐐 🐐 🐐

Imported as snapshot from GitHub: https://github.com/InfinitiBit/graphbit

GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a Python wrapper for unmatched speed, security, and scalability. It enables reliable multi-agent workflows with minimal CPU and memory usage, making it production-ready for real-world enterprise environments.

Imported as snapshot from GitHub: https://github.com/vm0-ai/vm0

Zero, your trustworthy AI teammate for real work.

Imported as snapshot from GitHub: https://github.com/covibes/zeroshot

Your autonomous engineering team in a CLI. Point Zeroshot at an issue, walk away, and return to production-grade code. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI.

Imported from GitHub: https://github.com/NevaMind-AI/memU

Memory for 24/7 proactive agents like OpenClaw.