
PaioClaw
PaioClaw hosts OpenClaw-based assistants with connected skills, activity logs and managed AI credits; free runtime and paid usage have different limits.
Kanwas brings product context, a collaborative canvas and an AI thinking partner into one workspace so teams can work from shared evidence and decisions.
Kanwas is a shared workspace for product context and collaborative thinking. Teams and agents can create, edit and share information in one place, then use that context to develop deliverables. Its homepage presents a canvas alongside an AI thinking partner, with an emphasis on keeping evidence and decisions available between work sessions.
The Kanwas homepage describes a place for information that might otherwise be scattered across chats, local folders and documents. The relevant starting point is a specific product question and the evidence behind it, rather than importing everything you have collected.
For a positioning exercise, that might mean customer conversations, the current offer and the choices the team is debating. Keep observations separate from assumptions so another teammate can understand why a decision was made. The product's shared-context approach is most useful to evaluate on a question that several people need to work through.
Kanwas says teams and agents work over the same context, including evidence, ideas and trade-offs. The canvas gives that collaboration a shared place rather than leaving the reasoning inside one person's chat history. Its homepage describes generating structured deliverables for implementation and retaining knowledge from decisions and outcomes.
Try taking one discussion through to a deliverable, then asking a colleague to revisit the supporting context. Check whether the result reflects the team's actual constraints and whether participants can distinguish source information from an AI suggestion. This is a practical evaluation approach, not a claim that we have tested those steps.
The publisher says the initial experience requires no download or terminal setup. That positions Kanwas for teams that want to begin in a shared thinking space without configuring a local developer tool.
The retrieved homepage does not establish pricing, detailed permission controls, export formats or data-retention terms. Confirm those requirements before adding confidential product plans or customer conversations. A founder testimonial about fundraising is not evidence that the workspace causes a business outcome. Judge the service by whether your team can organize a real decision, review the deliverable and reuse the relevant context in the next session.
Before you try it
Teams and the agent work over the same documents, evidence and decisions. The repository describes tool calls streaming into a shared timeline, helping participants follow how work develops.
Official sourceThe repository lists Docker with Docker Compose and an Anthropic and/or OpenAI API key. Hosting and model access are deployment dependencies, separate from the Apache-licensed application code.
Official sourceIt synchronises a workspace with a local filesystem for editing notes, importing Markdown or scripting access from CI and agents. Pull and push reuse the workspace binding after the first pull.
Official source