agent systems
Know Your Agents + Nexus
A real multi-agent desk — lanes, masks, vote-before-publish — not a slide about AI agents.
The problem
Most “multi-agent” demos are a single chat with costumes. I needed something else: a crew that actually works — distinct lanes, shared memory, and a gate before anything speaks for me in public.
After years on financial algorithms and kernels — and ML in a DSP environment at CEVA — I needed a crew that could learn and adapt in the LLM world without losing governance. Nexus and Know Your Agents are that crew: distinct lanes, shared memory, and a human gate before anything speaks in public.
The approach
Know Your Agents lives in Start_Apps as an operations surface for agent identity, masks, desks, and craft. Nexus (anchored in Job_Finder) is the bus: messages, alignments, outbox, votes — coordinating a specialized crew over shared memory with a governed, traceable pipeline.
Around that core: local fine-tuning (Baby Agent), ReAct runners that benchmark models back into profiles, and swappable skill masks so the same agent can change lanes without losing identity.
The protocol that matters:
- An agent drafts outbound copy.
- Eligible agents vote — approve or revise.
- Voice/tone gets a dedicated pass when the audience is human.
- Nothing goes LIVE without my sign-off.
That is not theater. It is how LinkedIn intros and posts are supposed to leave the building.
The craft
- Clear lanes so agents do not silently overwrite each other.
- Masks and defense rules so prompt injection and role-confusion stay out of the work.
- A desk / roundtable metaphor that makes coordination visible — who is present, what is claimed, what is waiting.
- Alignment documents that bind the crew to human-first publishing.
The differentiator is not “I used an LLM.” It is governance you can point at: draft, vote, human LIVE.
The outcome
A working coordination culture I can show — and a public portfolio lane that mirrors it. This Showoff site uses the same spirit: content contracts, coverage board, outbox for proposed posts, Roei as the final gate.
Want more?
Serious interest: I will walk through the desk, the bus, and a real draft→vote thread by request. Code stays private until then.
Skills in play
- Multi-agent orchestration
- Product design for AI crews
- Prompt / mask architecture
- Human-in-the-loop publishing
- Local tooling (Start_Apps)