Structured planning and parallel execution for multi-module Claude Code tasks with deep validation and retry support.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Forge.
Turn Claude Code into a structured delivery loop: plan the work, run modules in parallel, validate deeply, retry intelligently, and carry forward what worked.
Single-agent Claude Code drifts past ~5 steps. The failure mode isn't code quality β it's silent state corruption: parallel workers branching from stale HEAD, modules quietly clobbering each other's changes, "DONE" status that hides broken integration. Forge externalizes the plan β execute β validate loop so the same task that would silently break at 7 steps cleanly delivers at 30.
Core mechanic:
Track record: shipped memem v1.7 β v1.8.3 (7 releases) in a single day, including a 9-file anti-recursion safety fix and a persistent slice daemon β with human in the loop only at yes/modify/abort gates.
Copy-paste:
First start may take a few seconds because Forge bootstraps its MCP server dependencies automatically.
After install:
/forge <objective>Example:
Forge is for the point where plain prompting stops being enough.
If the task touches several files, needs coordination between modules, or needs proof that it actually works, Forge gives Claude Code a workflow instead of just another prompt:
You still use Claude Code. Forge just adds structure around the hard parts.
For many tasks, you should.
| Task shape | Plain Claude Code | Forge |
|---|---|---|
| One small edit | Better | Overkill |
| Quick investigation | Better | Overkill |
| Multi-file feature | Manual coordination required | Strong fit |
| Parallelizable work | You manage it yourself | Built in |
| Deep validation | You remember to run it | Part of the workflow |
| Retry after failure | Manual retry and debugging | Tracked, guided, resumable |
| Reusing patterns across sessions | Ad hoc | Built in memory |
Forge is not trying to replace normal usage. It is for the tasks where orchestration matters.
That is the experience Forge is aiming for: less manual steering, more visible progress, and fewer silent failures.
.forge/ directory in your projectAt runtime, Forge also creates a local .forge/ directory in the working project to store plans, logs, memory, retry history, and resumable state.
Forge ships with four focused agents:
The user-facing commands are:
/forge: full orchestrator workflow/forge-status: current plan, module progress, and learned patterns/forge-validate: re-run validation for one moduleThe bundled MCP server provides the shared runtime capabilities Forge needs:
validatevalidate_planmemory_recallmemory_saveiteration_stateforge_logssession_stateThese tools let multiple agents coordinate without relying on loose conversational memory.
Forge can render live progress in your terminal:
To use it:
Forge keeps its runtime state in a local .forge/ directory inside the working project. That includes:
This keeps the workflow inspectable instead of hiding everything behind opaque agent state.
If you do not want to install from the Claude Code marketplace, you can wire Forge manually:
Then wire the MCP server using the reference config in .claude/settings.json.
MIT β see LICENSE
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