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A terminal-first code-context platform for AI-assisted engineering. Repository capsules, verified change workflows, runtime diagnostics, issue automation, workspace memory, and MCP for the agents you already use.
A live trace of one Mesh run. Every file in your workspace, parsed, distilled, and packed into a budget your model can actually fit — without dropping a single one.
Start with the CLI for verified execution. Add MCP to give Claude Code, Cursor, Windsurf, and VS Code the same structured workspace tools. IDE and API are preview surfaces around the shared runtime.
Install globally. Runs in any terminal. /start, /change, /autopilot, timelines, proof bundles, and local voice.
Install now →A desktop-first preview workbench with Monaco, file tree, terminal SSE, git APIs, and a runtime bridge currently in progress.
IDE docs →Mesh plugs into Claude Code, Claude Desktop, Cursor, Windsurf, and VS Code
via @trymesh/mcp (~25 mesh_* tools). The full 100+ workspace.* surface stays in the CLI.
Embed Mesh-style capsule search, recovery, and agent workflows through a preview HTTP surface. Use CLI/MCP for production execution today.
API docs →What Mesh is, product surfaces, team, Google Cloud plans, and benchmarks — for reviewers and developers.
Install the CLI, run /start, then ship one narrow verified change with /change.
100% NIAH recall. 5× token efficiency. 0% hallucination. Real LLM benchmark data.
Mesh is not just another chat window. It is a code-context engine that turns a real workspace into capsules, exact spans, timelines, and agent-ready commands.
Mesh builds a structural capsule of the repo before the model answers. The agent sees symbols, signatures, relationships, summaries, and can recover exact file spans instead of guessing from pasted raw source.
Capsules combine low-tier file summaries, medium-tier AST structure, and high-tier semantic context for files that matter. Smart cache invalidation keeps unchanged files from being re-indexed every run.
No. Mesh can be the terminal agent, but it also exposes the same workspace intelligence through MCP and API surfaces, so existing coding assistants can ask Mesh for structured context.
Risky changes can run in isolated worktree-backed timelines. Mesh can test alternate fixes, compare results, and only promote the version that passes the chosen verification command.
Yes. Runtime tracing workflows start commands under observation, capture failures, stack traces, and runtime evidence, then connect the symptom back to code paths.
Voice mode uses local speech-to-text and native system speech output, so you can dictate architecture thoughts or coding requests without sending audio through a cloud transcription API.
Indexing, capsules, timelines, and company memory are local-first. Model calls go through the selected Mesh gateway, NVIDIA, Google, or BYOK route, and Mesh sends only the prompt/context needed for the active workflow.
Install the CLI, run mesh in a repo, then type /start. After the briefing, use
/change <small goal> for one verified patch. Add MCP once you want Claude Code, Cursor,
Windsurf, or VS Code to use the same Mesh tools.