Hey @π algorithm,
#Connect me with other builders in:
- AI Engineering
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Drop a π and let's connect!
Nobody talks about this, but AI agent memory is a solo feature.
Your Claude Code remembers what you decided. Your teammate's has no idea.
5 engineers. 5 agents. 5 brains. 1 repo.
I built something to give them one brain.
@andrydina7 Agreed, it's a team protocol gap. But a markdown file is a snapshot of the protocol, where it updates for new sessions or git pulls. Syn makes the agents run the protocol themselves; write the decision when it's made, and other agents check before acting
How: an MCP server every agent calls before it plans and after it decides.
Decisions carry premises: change one, Syn pings only the agents that built on it. Tasks get claimed: no two agents ship the same fix.
https://t.co/Fp4W3bYTWv
Serious question, not a benchmark debate:
Who here has actually switched from a frontier API to open weights and stayed switched?
Not "I ran it once locally." I mean it's your daily driver now.
I built SYN, which all your agents can sync to via MCP. Anything from facts, decisions, to tasks are recorded. Stale info gets flagged, and info is queried efficiently.
Free for 3 seats: https://t.co/Fp4W3bYTWv
My team's agents kept wasting tokens by re-discovering the same things and stepping on each other's work. I spent a few weeks building them a shared brain that communicates in real time.