r/crewai

I have been trying a bunch of harness models and frameworks for the last month, and I realize most agent frameworks want you to rebuild your runtime around their harness.

We went the other way with AURA Harness: a thin membrane around loops you already run, plain Python, Ollama, LangGraph, whatever. You keep the body/runtime, while AURA records and optionally gates what crosses the boundary. Shouldn't this be what harness is about??

Local-first by default:

• Works offline with agent_ref + session IDs, no cloud identity required
• integrations/ollama/llama_loop.py, stdlib HTTP against Ollama (llama3.2:1b is our dev default)
• Optional verified operator identity if you need it later, not required for OSS/dev

What you get on close: JSONL spine, audit report, hash chain, aura verify chain for CI.

Loose coat = audit-only logging. Tight coat = rules/gates at egress when you wire tool paths.

Open source (Python): github.com/ARPAHLS/aura

Happy to answer setup questions, especially Ollama related + “wrap my script, don’t replace it.”

Contributors more than just welcome, bunch of good first issues open <3

Coding agents are getting smarter and smarter at writing code. A new idea has been gaining traction: what if instead of giving a task to a single agent, you give it to a team of agents working collaboratively to solve the problem? It sounds complex, but there's a surprisingly simple solution.

Herder already gives you the core ability you need: one agent can talk directly to another agent. Combined with the coding tools you already have — Claude Code CLI, Codex CLI, or whatever's in your stack — you've got everything for a full multi-agent workflow.

Here's the pattern:

1. One agent leads — takes ownership and coordinates using Herder's agent-to-agent communication
2. Delegation — passes work to other agents through Herder
3. Review loop — completed work cycles through peer review
4. Iteration — repeats until requirements are met

No extra subscriptions, no API key juggling — just leverage Herder's built-in agent-to-agent messaging and the tools you've already got.

I built a repository showing this in practice with a Claude Code skill:
https://github.com/alexstrilets/panel

It demonstrates how simple and effective this approach can be when you use what's already at your fingertips.