Roadmap

This roadmap tracks the engineering work needed to make the ecosystem more reliable, observable, reproducible, and easier to evaluate.

Near Term

• Normalize tools.json against the current tool inventory.
• Add automated health checks for core CLI tools.
• Add minimal tests to tools that still depend on manual verification.
• Create an executable dependency audit for the tooling layer.
• Refresh diagrams and examples from the current system state.
• Capture lessons learned beside the relevant case studies.

Medium Term

• Turn audit findings into tracked implementation tasks.
• Run evaluation passes against representative research workflows.
• Improve artifact traceability across research phases, reports, and summaries.
• Add observability for worker lifecycle, queue state, and failed jobs.
• Define runtime boundaries between coordinator, worker, tools, and external adapters.
• Build reproducible demos with synthetic or sample data.

Long Term

• Create a local status dashboard for the ecosystem.
• Unify indexes for tools, skills, and agents.
• Version tool specifications.
• Add contract tests for tool specifications and generated artifacts.
• Document migration paths when tools or agent roles change.
• Expand individual case studies:
  • the tooling layer;
  • the research framework;
  • the project templates;
  • memory and context in local agents;
  • security and auditability in tool-based workflows.

Maturity Criteria

The ecosystem is mature when it:

• has reliable health checks for the core tools;
• produces artifacts that can be traced back to their inputs and phase;
• records decisions, trade-offs, and known gaps;
• handles partial failure without hiding degradation;
• distinguishes current state from future vision;
• keeps documentation aligned with the observed system state;
• supports reproducible demos and evaluation runs.

Documentation Backlog

• Add diagrams for artifact lifecycle and worker recovery.
• Add a compact evaluation report format.
• Add a versioned matrix for tools, skills, owners, and verification status.
• Keep each page tied to the system it describes: architecture, decisions, workflows, artifacts, operations, and lessons learned.

Closing Note

The project remains applied learning: a local agent architecture built through iteration, with real tools, memory, audits, and documentation. The roadmap keeps that learning connected to operational maturity.