Show HN: Kanwas, open-source shared context board for teams and agents
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What it is
Kanwas is a shared context board — imagine a digital workspace where AI agents and humans can pin information, reference previous work, and maintain memory across sessions. Instead of every agent conversation starting from zero, the board acts as persistent memory: documents, decisions, code snippets all live in one place that both humans and AI can access.
Why it matters
If you're running multiple AI agents or working with AI on complex projects, context loss is painful. Agents forget. You repeat yourself. Kanwas tackles this by creating a shared reference layer. Worth testing if you're building agent workflows where continuity matters — customer support, code reviews, research projects.
Key details
- •Open-source on GitHub under MIT license — full code available for self-hosting
- •Built for multi-agent scenarios: multiple AI agents can reference the same context board
- •Async-first design: updates persist across sessions, not just within a single chat
- •Positioned as infrastructure layer for agent-human collaboration, not a chat interface
- •Early stage: launched as Show HN, community feedback phase
Worth watching
0:20Mastering Inspect Element: Tips and Tricks for Web Development and Debugging
Code Stroke
Mastering Inspect Element provides essential web development debugging skills that would help developers understand and work with shared context boards and collaborative tools at the technical level.
1:01What Vercel actually do? #vercel #software #tech
Caleb King
Understanding what Vercel does is relevant for learning about modern deployment platforms and infrastructure that power open-source collaborative tools like shared context boards.
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