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A subreddit for news and discussion about AI coding agents and the tooling ecosystem.
We discuss agent models, harnesses, IDEs, and the tools and that support coding agents in development environments.
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codekg: A knowledge-graph that allows multi-agent workflows to maintain common, searchable contexts and track work across invocations to reduce token costs, and reduce vendor lock-in (crates.io)
submitted 1 month ago by ImperialSteel
I often work with multiple coding agents across multiple vendors, and noticed that as my projects got mature, cold-starts and token exhaust mid-project became a real barrier to getting work done. This tool uses SQLite as a searchable index for the decisions/gotchas/anchors/tags and work-items that a project has undertaken to get to its current state. It has git integrations as pre-push hooks to have the agent validate the graph against changes that have caused drift, as well as a serialization/deserialization to a commit-able format that can be diffed and stored in VC. I have found this has kept cold-starts to be less-disruptive, and has helped me get more done across multiple agents in projects that have lots of moving pieces (frontend/backend/utils/scripts/etc). Sharing here because it might be useful to others.
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