Team messaging that actually remembers why you built that feature
Praxos attacks this directly. It's a team chat app (channels, threads, DMs — the basics work) but the differentiator is the memory layer. Every external touchpoint — GitHub PRs, email threads, recorded calls, even your coding agent conversations — gets ingested, linked, and made queryable. When an engineer or an LLM agent picks up a task, the full history travels with it.
What the memory layer actually captures
- Customer conversations — call transcripts, email threads, meeting notes tied to the relevant feature work
- Agent interactions — full Claude/Codex/Cursor session logs, not just the final diff
- Code context — PR discussions, commit messages, review comments linked to the original request
- Decision trails — why a technical choice was made, who weighed in, what alternatives were considered
Where it clicks in practice
A new engineer joins and inherits instant context on a legacy service — not just the code, but the why behind every module, plus the agent conversations that shaped it. Three weeks later when the founder asks "wait, why did we handle webhooks that way?", Praxos surfaces the original customer call, the founder-engineer discussion, and the agent's reasoning in one view. No interrogating the CTO required.
The agent integration is the sleeper feature. Your coding agents don't just see the current file — they inherit the same organizational memory the humans do. That means when you prompt "implement the ACME webhook retry logic," the agent already knows ACME's SLA requirements from the sales call two months ago.
Desktop app drops next week. Native calls and mobile are in flight so the entire communication stack lives in one searchable timeline. If you're a 2–10 person team where half the crew lives in customer conversations and the other half ships with AI, the first 10 teams get six months free. Reach out to [email protected] if that sounds like your Monday morning.