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Roadmap

kipp•punkt is under active development. Here is what’s planned next.

Agents currently start each task from scratch. Short-term memory gives an agent context about what it already tried within a single task, so it avoids repeating mistakes and builds on prior attempts.

Learnings from one task should carry over to future tasks. Long-term memory captures patterns, preferences, and recurring feedback across the full history of a repository, so agents get better over time without you repeating yourself.

Running separate kipp•punkt instances per repository works but scales poorly against GitHub rate limits. A centralized orchestrator that manages multiple repositories from a single process will remove this bottleneck.

After several features land, codebases accumulate drift. A refactoring agent that runs every n cycles reviews recent changes, identifies structural debt, and opens cleanup PRs automatically.

Today, task ordering is mostly manual. Better dependency scheduling will let the orchestrator reason about which tasks block others and sequence work accordingly, especially in multi-agent setups.

Complex ideas are easier to talk through than type out. The goal is to let you start a voice conversation with the kipp•punkt agent directly from a GitHub issue, using your existing call infrastructure, for faster refinement on topics where text is too slow.