GoKawiilTilde is a harness SDK for building cloud deployed AI agents, extremely fast.
I built Tilde for 2 reasons:
that creating a single agent harness for all tasks both simple and highly complex would lead to sub-optimal outcomes. That harness's & AI agent libraries at the time didn't give me the developer experience, portability or composability that I wanted
Over a year later into building this side project, point 1 is still true. On the other hand other frameworks, libraries and harnesses have come a long way but I still find myself reaching daily to Tilde to build agents to automate things for me. Having worked through the common pitfall most software engineers make, namely that "there's always one more feature before it's ready" - I can finally convince myself that it's ready.
What does it do?
I've taken out the meat of what makes a good harness, and composed it into components you can pick and choose to give to your agent:
Tools: Spin up MCP servers to give to your agent. Add Tilde managed tools, bring your own or proxy upstream MCP servers. Tilde provides credential management, common SaaS integrations and raw HTTP1/2 reverse proxies to upstream services if MCP isn't enough ChatKit: Integrations with third party chat providers (Slack, Github or via API). Let your agents engage where you work. You can enable receiving and sending messages from Github, Slack or direct via API as well as other webhooks from these services. Memory: Create and centrally manage skills registries, wiki's and persistent memories. Surface these functions as tools to your agents to autonomously keep up to date.
Everything in Tilde is cloud based & centrally managed & permissioned. I've currently built a client-side library to work with Vercel's AI SDK but expect other frameworks and languages to be supported in future.
A practical example
One of the first agent's I built with Tilde was a code-review agent. I'm a software engineer and we tend to have a habit of automating ourselves out of work so what the heck.
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