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Docmancer AI Skill: Enhance Coding with Local Memory Recall

Docmancer AI Skill: Enhance Coding with Local Memory Recall

Regular price £3.99
Regular price £3.99 Sale price
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Works withClaude CodeCursorCodex
Docmancer AI Skill: Enhance Coding with Local Memory Recall

Docmancer AI Skill: Enhance Coding with Local Memory Recall

Regular price £3.99
Regular price £3.99 Sale price
SAVE Sold out

Docmancer AI Skill: Enhance Coding with Local Memory Recall

The Docmancer AI Skill enhances coding agents by providing shared, local memory recall capabilities. It consolidates memory from various coding agents like Claude Code, Codex, and Cursor, enabling them to access and utilize past decisions, project conventions, and coding instructions without repeated input.

What this skill does

  • Consolidates memory from multiple coding agents like Claude Code, Codex, Cursor, and others present on the machine.
  • Indexes technical documentation locally for reference.
  • Creates a human-readable Shared Memory tree with grounded, cited recall.
  • Supports automatic recall through hooks for Claude Code and Codex, provided through recall hooks.
  • Provides on-demand access through the command line interface and MCP tools.
  • Operates primarily on local memory, with network access only upon user request for online documentation or external resources.

Who it is for

  • Software developers seeking enhanced recall capabilities in their AI coding agents.
  • Development teams using multiple AI coding agents on shared projects.
  • Teams needing efficient access to project-specific memory and documentation.

Use cases

  • Simplifying repeated tasks by recalling previous project decisions and instructions.
  • Increasing consistency in coding practices by aligning on a shared memory for agents.
  • Facilitating quicker onboarding of new team members through accessible documentation and memory recall.

Technical details

  • Integrates with coding agents like Claude Code, Codex, Cursor, and Gemini.
  • Utilizes SQLite FTS5 and sqlite-vec for memory indexing.
  • Employs bundled Model2Vec embeddings for local operations.
  • Installation via CLI commands: pipx install docmancer or uv tool install docmancer.

Source & Licence

This package is built on open-source work published by docmancer (docmancer/docmancer) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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Reviews

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We finally caught broken conversion tags before launch instead of after. The pre-launch checklist alone is worth the price.

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Dropped it into Claude Code and my LCP went from 4.1s to 1.9s in an afternoon. It explains every fix it suggests, so I actually learned something too.

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Works with both Cursor and Claude Code exactly as advertised. Setup took less than five minutes with the included README.

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Instant delivery, clean files, clear docs. This is how digital products should be sold. Already bought three more skills.

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Support answered my install question within a couple of hours on a Sunday. The skill itself has become part of my daily workflow.

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