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ai-agents-automation

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opencastle

Helix-AGI is an Agentic AI System that uses a spatial-graph memory retrieval system. Agents receive a rolling adaptive system prompt of memories and skills that afford the agent a highly dynamic center of conceptual gravity. By avoiding long identity files and subagent-heavy workflows, Agents can develop continuously without spiraling costs.

  • Updated Aug 8, 2026
  • Python

Agent Reference Stack for Kubernetes (kars) - an open source stack from Microsoft for running AI agents safely on Kubernetes. Multi-runtime, Foundry-aware, hardened per-agent sandboxes, governed egress, end-to-end encrypted inter-agent mesh.

  • Updated Aug 9, 2026
  • Rust

Automation frameworks shouldn't fight you. Marktoflow is CLI-native automation with the power of AI agents. Write workflows in markdown+YAML, execute with Claude Code, GitHub Copilot, Codex, or OpenCode — no AI API keys required. 39 direct SDK integrations, visual designer UI, and full MCP compatibility. Note skelm supercedes marktoflow.

  • Updated Jun 8, 2026
  • TypeScript

A complex business system in 170k tokens. ObjectStack compresses an entire app — data model, UI, workflows, permissions — into typed metadata, an AI agent can hold in context, reason about, and refactor whole.

  • Updated Aug 9, 2026
  • TypeScript
ClawAI

Claw is a local-first AI control plane that runs powerful open models on your machine and connects to top LLM providers. It intelligently routes every prompt to the best model, giving you one secure workspace for chat, memory, context, connectors, routing, and full AI orchestration.

  • Updated Aug 9, 2026
  • TypeScript

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