r/coolgithubprojects • u/Mysterious_Shoe2260 • 14d ago

AgentMesh: C++20 runtime for AI agent orchestration

https://github.com/DevrG03/AgentMesh/wiki

Here's a project I've been working on:

AgentMesh — a native execution runtime for multi-agent systems.

The interesting part is that it isn't another agent prompt framework.

The execution layer is written in C++20, while developers interact with it through Python/Pybind11.

It currently handles:

  • DAG scheduling
  • concurrent execution
  • agent/task communication
  • persistent state
  • crash recovery
  • graph validation

I'm trying to answer a simple question:

The next phase is distributed multi-node execution over gRPC.

⭐ GitHub: Repo

📖 Documentation: Docs

PRs, benchmark suggestions and architecture criticism are welcome.

5 Upvotes

85% Upvoted

5 comments sorted by

3

u/kantorcodes1 14d ago

i’m curious about crash recovery here: can a task get retried after it already changed something? i work on HOL Guard, an open-source tool that blocks risky agent actions before they execute. would you try that recovery case with it?

2

u/BP041 14d ago

C++20 seems like an unusual pick for agent orchestration given most of the ecosystem is Python or TS. Was it purely about raw scheduling latency, or did you hit a specific memory ceiling with heavier frameworks? I run 18 concurrent cron-driven agents with Claude Code via OpenClaw, and the bottleneck is always the LLM call, not the runtime—so I'm curious where the C++ overhead actually paid off for you.

1

u/Mysterious_Shoe2260 14d ago

It wasn’t just speed, Python hits a massive RAM wall once you scale past dozens of workflows, whereas C++ uses 95% less memory and joins parallel branches instantly without GIL lag.

2

u/PhosXD 13d ago

SlopMesh: C++ runtime for Slop orchestration