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ai-agents-automation

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Apps small enough for AI to hold whole. ObjectStack turns the whole app — data model, UI, workflows, permissions — into typed metadata: a complete CRM in under 150k tokens, one context window. Agents read it whole, reason it whole, refactor it whole.

  • Updated Sep 21, 2026
  • TypeScript
opencastle

Helix-AGI is an Agentic AI harness system that runs on a continous daemon pulse with spatial-based subjective memory pipelines and Affect simulator built overtop a conventional RAG memory system and utlizing a branched context window subagent task system where subagents join in memory but keep specialized skill knowledge appended directly to schema

  • Updated Aug 20, 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 Sep 21, 2026
  • Rust
Artificial-Intelligence-Universe

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
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 Sep 21, 2026
  • TypeScript

The missing governance layer for AI agents. Declare what your agent can do, what requires human approval, and what it can never do - before it runs. Runtime enforced via scyvera, not just documented.

  • Updated Sep 10, 2026
  • Python

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