Why it matters
Rich live transcripts gives ForkMesh a concrete mechanism for structured live agent transcripts with tool calls, diffs, and raw output when needed. Agent sessions render as a live, structured transcript, tool calls, diffs, and results as cards, with a raw-output toggle for the curious.
AI coding only helps when the agent can work in a real repository without trampling human state or hiding what it did. In ForkMesh, rich live transcripts addresses that need at the feature level, keeping the behavior close to the repository instead of buried in a detached hosted layer.
How ForkMesh handles it
ForkMesh handles rich live transcripts through the same split it uses across the product: ForkMesh runs agents beside the repository, capturing transcripts, branches, diffs, prompts, usage, questions, and handoffs in the desktop app.
The behavior is intentionally narrow: Agent sessions render as a live, structured transcript, tool calls, diffs, and results as cards, with a raw-output toggle for the curious. Humans keep control of instructions, answers, review, and merge decisions.
Where it fits
Use rich live transcripts when agent work should be reviewable, resumable, and connected to the same repo UI humans use.
It pairs with the rest of AI agents, built in because Rich live transcripts keeps structured live agent transcripts with tool calls, diffs, and raw output when needed connected to the repository, its signatures, and the nodes that serve it.