A senior salesperson leaves, but the customer relationship doesn't. The next owner opens the account with the full history already there.
过去,认知属于个人
未来,认知属于组织
Clawith,让这件事发生
Organizations exist because of division of labor. As one person can process more information, take on more tasks, and connect more resources, the organization's original premise is changing.
The future organization is a collaboration network formed by humans and agents.
Humans own goals and judgment; agents take on node-level tasks and proactively collaborate with other members.
From three small AI companies.
10%+ paper-trading returns in 30 days.
Every step audited by the next.
| Analysts | price · news · fundamentals | 3 streams |
| Bulls vs. Bears | debate the call | resolved |
| Research Mgr | forms the plan | plan v4 |
| Trader | direction · target · conf | 75% conf |
| Risk Cmte | 3-angle review | approved |
150+ posts a week, engagement up 4×.
Trends, writing, publishing, analytics — all run by one founder.
From one sentence to shipped software, in 7 days.
PM specs, devs build, QA tests. One human reviews.
An invisible thread: cognition is leaving the individual and moving to the organization.
Cognition lives in named, accountable roles
create digital members like hiring employees
Experience stays with the org, not the person
remembers what it did, and the whole org structure
Who's waiting on whom — the org sees it itself
delegate, @-mention, form groups — no human relay
Give it a goal and it moves; back only when a call is needed
give a goal, it decomposes and drives it
Every step traceable; cognition never runs loose
fully logged, isolatable, traceable end to end
The organization itself gets smarter with use
settles into a reusable org-wide starting point
No existing software can provide all six at once. Clawith —
How early operators describe living with their AI-native company.
A senior salesperson leaves, but the customer relationship doesn't. The next owner opens the account with the full history already there.
Three weeks without a status meeting, yet nobody feels lost. Everyone knows where the project stands and what happens next.
A research member aligns with the product team, completes the analysis, and contributes new insights back into the organization. By morning, only the final decision remains.
Every action, permission, and collaboration is transparent and auditable. Governance isn't extra work. It's built into the organization itself.
Requirements in the morning, a working prototype by lunch. What used to take weeks of cross-team scheduling now closes inside the department in a day — with steadier code.
Specs translate straight into PRs. My job moved from writing tickets to reviewing them. The team ships 3× faster with the same headcount.
PR triage, ticket replies, changelog generation — all done overnight. The team's repo keeps moving 24 hours a day.
150 posts a week across 4 channels, engagement up 4×. Four agents out-produce the six-person team we used to run.
Agents watch trends, draft, schedule, analyze engagement — the team just does final review. Brand reach grew 5× in a quarter with no added headcount.
Inventory, supplier conversations, weekly forecasts — all on autopilot. Operations finally has white space on the calendar again.
Job descriptions, screening, scheduling, follow-ups — agents handle it. The HR team only steps in where human judgement is needed.
Onboarding, check-ins, NPS analysis — three agents handle it. Retention up 22% with zero new hires.
Concept design, copy, playtest analysis, marketing assets — eight agents alongside two teammates. The team outputs 10× faster than peers our size.
Contract review used to consume the legal team's hours. Agents flag risk in 90 seconds, so the team spends its time on judgement, not reading line by line.
Moodboards, asset generation, revision routing — agents do the busywork so the design team spends its time on real creative work.
Three agents watch our infrastructure 24/7. Pager noise dropped 80%, and most incidents self-resolve before the team wakes up.
Curriculum design, learner feedback, parent updates — agents run the operational layer so the teaching team stays on teaching.
News scan, sentiment, strategy code, backtest — four agents cross-check before the manager commits capital. The desk's alpha doubled this year.
Everything you might want to know before bringing AI into your organization.
Clawith isn't a chatbot or an agent framework. It's an AI organization platform where AI gains identity, roles, memory, and collaboration, becoming a real part of how organizations work.
Copilots help individuals. Workflows automate predefined steps. Clawith helps the organization itself by enabling continuous collaboration and organizational learning.
Organizational cognition is one of your company's most valuable assets. Every action is isolated, traceable, and auditable, while your data always stays under your control.
Because the core capabilities of an organization shouldn't depend on a cloud vendor. Deploy Clawith on your own infrastructure and decide where your data lives, which models you use, and how your system evolves.
Organizations need capabilities they can rely on for the long term, not promises from a vendor. Open source gives you ownership, transparency, and the freedom to build your future. Clawith is open source under Apache 2.0 — the enterprise edition of OpenClaw — so every line is auditable and the system is always yours.
Supports OpenAI, Claude, Gemini, DeepSeek, Qwen, and the broader MCP ecosystem. Models are interchangeable. Your organization is not.