35,531 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Runs coding work as an explicit execution graph (DAG) instead of a natural-language conversation. Deterministic work is executed by the server with zero LLM calls, the points where a human steps in are declared in the graph, and run state is owned by the server rather than the conversation.
★not rated 0 1mo agoA
tokens not measured
originalMIT
Runs coding agents through a governed delivery lifecycle: plants a repo-guides documentation baseline, drafts stories from raw asks, and carries the work through requirements, spec, plan, build, and QA stages behind gate-arbiter judgment gates (spec.approved, plan.approved, qa.drift, code-review.final…
★not rated 0 3d agoA
tokens not measured
originalApache-2.0
Run the canonical delivery-state v2 milestone pipeline (Research → Implement → independent adversarial review → Rectify/closure → Publish → Apply → Verify). Use for a non-trivial fixed milestone id when code/checklist completion must be distinguished from live operational delivery.
MCP server "founder-decision-agent" as configured in flame211186/founder-decision-agent. Runs locally from the @sangfei/founder-decision-agent npm package.
★not rated 0 27d agoA
tokens not measured
originalApache-2.0
Compose a consequential charter, standard, plan, procedure, checklist, research object, or human-agent contract as a content-addressed proposal Expression or portable release packet. Use when a user asks to synthesize document types, create a reusable semantic template, turn requirements into a structured document…
A local MCP server that lets a large language model read and write XMind files, which are files used for visual mind maps. It also supports OCR, meaning it can extract text from images.
★not rated 0 1mo agoA
tokens not measured
originalMIT
An automation skill for the Trek WeChat travel mini-program, a mobile travel-planning app. It connects an agent to destination research and structured trip data through an authenticated remote service.
Review, edit, and approve AI agent task plans in a visual node editor in your terminal (MCP server + TUI). Runs locally from the agenttakt Python package.
★not rated 0 17d agoA
tokens not measured
originalMIT
Generate optimized work shift schedules from staffing demand, availability and fairness rules. Runs locally from the @shiftyasan/mcp-server npm package. Needs 2 environment variables to run.
★not rated 0 1mo agoA
tokens not measured
originalMIT
Plan trips on a map: routed transport, day-by-day itineraries, and a plan you can share. Remote server at www.aitrips.io.
★not rated 0 20d agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: