* [SigMap v6.11.0](https://github.com/manojmallick/sigmap) – Finds relevant files in a codebase and supplies compact function and class signatures to AI models to reduce tokens and improve answers.

* [Framelink Figma MCP Server v0.12.0](https://github.com/GLips/Figma-Context-MCP) – MCP server providing simplified Figma layout and styling data for AI coding agents like Cursor.

* [Token Tracker v0.40.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.39.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.38.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.37.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.36.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.35.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.33.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.32.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.31.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.30.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.29.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.28.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.27.0](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Duel Agents v0.1.0](https://github.com/2aronS/Duel-Agents) – IDE-native routing layer that runs prompts across multiple models and selects the cheapest winning response.

* [claude-replay v0.8.1](https://github.com/es617/claude-replay) – Converts Claude Code and Cursor JSONL transcripts into single-file, interactive HTML session replays embeddable in docs.

* [n8n-as-code v2.3.4](https://github.com/EtienneLescot/n8n-as-code) – AI skill embedding complete n8n node schemas, searchable templates, and GitOps-enabled CLI/VS Code workflows.

* [Token Tracker v0.36.1](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.35.2](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.35.1](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [MetaGo metagoV4.5.0](https://github.com/metaseed/metaGo) – Fast cursor movement, selection, and deletion for keyboard-focused VS Code users.

* [Token Tracker v0.31.1](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [n8n-as-code v2.3.3](https://github.com/EtienneLescot/n8n-as-code) – AI skill embedding complete n8n node schemas, searchable templates, and GitOps-enabled CLI/VS Code workflows.

* [Token Tracker v0.29.2](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.29.1](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [OpenUsage v0.6.25](https://github.com/robinebers/openusage) – Menu bar app consolidating AI coding subscription usage with progress bars, badges, and automatic refresh.

* [AIPointer v1.1.8](https://github.com/gonemedia/aipointer) – Cursor-anchored desktop overlay that captures a screen region and queries vision-capable LLMs for contextual answers.

* [IJFW (It Just F*cking Works!) v1.5.6](https://github.com/FerroxLabs/ijfw) – Local-first infrastructure for multiple AI coding agents with shared memory, smart routing, multi-AI audits, and disciplined workflows.

* [Token Tracker v0.26.7](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.26.6](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.26.5](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.26.4](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [Token Tracker v0.26.3](https://github.com/mm7894215/TokenTracker) – Local-first tool auto-collecting token counts from 10 AI coding tools, aggregating locally and showing cost and usage trends in a dashboard.

* [MetaGo MetaJumpV1.4.5](https://github.com/metaseed/metaGo) – Fast cursor movement, selection, and deletion for keyboard-focused VS Code users.

* [stagewise stagewise@1.3.1-nigh...](https://github.com/stagewise-io/stagewise) – Browser toolbar connecting frontend UI to AI agents for real-time code editing.