TraceMesh
An orchestrated AI workbench—agentic, generative, and trainable—with persistent graph memory.
Overview
TraceMesh is a Windows AI operations workbench under active development. It combines a live 3D operations graph, multi-model orchestration, and application-layer training so requests, specialist handoffs, artifacts, skills, and NetworkMesh tasks stay visible as one durable system—not a disposable chat log.
Development builds (currently 0.9.x) already exercise TraceMesh AI routing with bounded specialist consultations, parallel chunked workflows, and NetworkMesh: a scheduler that turns a goal into verified tasks for parallel workers with gated host tools and adherence scoring. The Learn trainer builds reusable SKILL capability in graph memory (study, rumination, transfer, distill)—application-layer training, not weight fine-tuning—with local history and optional cloud-synced memory.
TraceMesh is not offered for download from Nexus Applications yet. This page describes capabilities present in development builds; no public release date, agent count, or speed claim is promised.
Planned scope - not yet available
What TraceMesh is being built to do
- Public Windows release of the 3D operations graph for requests, responses, artifacts, skills, and NetworkMesh tasks.
- Multi-model orchestration with TraceMesh AI routing, bounded specialist consultations, and parallel long-context chunking.
- NetworkMesh agent harness: scheduler-defined tasks, gated host tools, worker verification, and adherence scoring.
- Learn trainer for persistent SKILL memory (study, rumination, transfer, distill)—application-layer training, not weight fine-tuning.
- Local atomic history plus optional cloud-synced graph memory for signed-in workspaces.
- GameMesh preview of the same orchestration engine for Godot and game-project workflows.
- Portable .tracemesh export and Markdown/PDF/CSV artifact export.
These are development goals. No release date, agent count, execution speed or finished feature set is promised. Follow this page for public updates.
Who it is for
Builders who coordinate several models or agents on one problem and want persistent memory, measurable workflows, and a visual graph of how the work fits together.
Use it to
- Route a complex request through TraceMesh AI with specialist consultations and a visible handoff graph.
- Schedule a NetworkMesh goal into verified parallel tasks with tool gating and adherence scores.
- Train reusable skills into graph memory and carry them across models without fine-tuning provider weights.
Available today
While TraceMesh matures, these applications are released and ready to download.
CLITilesv0.7.1
InfiniteNotesv0.6.0-beta.2
Tunerv0.5.4