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AbuZar-Ansarii/PocketStrike

PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.

#6 in Flutter & cross-platform DartMIT license Last commit 1 month ago

Updated 24 min ago

Maintain this repo? Add this badge to your README.

Growth

Last 24 hours
+10
stars
Last 7 days
+114
stars
Last 30 days
+114
stars
Total stars
120
Forks
37

Star history

050100150Aug 4Aug 18Sep 1Sep 15Sep 29Oct 13

Total stars at the end of each week, from GitHub’s daily star counts.

Why it’s rising: +114 stars this week, against ~1 in a usual week

Rank in its topics

Out of repos that gained at least 20 stars in the period
Rank of AbuZar-Ansarii/PocketStrike in each topic for today, this week and this month
TopicTodayThis weekThis month
Flutter & cross-platform topic–#6of 87#29of 146
Machine learning topic–#8of 164#47of 271
Privacy topic–#8of 119#38of 206
Android topic–#38of 300#113of 453
MCP topic–#70of 396#177of 547
AI agents topic–#143of 946#455of 1319

Health signals

Too new to assessChecked Oct 18, 2026

Too new to assess: the repository is less than 60 days old or has fewer than 10 commits. The signals below are shown for information only.

Commit activity
Commits in 1 of the last 8 weeks 2 commits on the default branch in 90 days
Maintainers
1 commit author in 90 days Top author: 100% of the last 2 commits
Issue responsiveness
Too few issues to tell 1 issue opened by others in 90 days
Pull requests
None opened in 90 days
Releases
Last release: 7 weeks ago 1 release in the last 12 months
Project hygiene
License; no CI or security policy
OpenSSF Scorecard
Not scanned Unknown, not counted against the project

Signals are computed automatically from public GitHub data. They are not an endorsement or a security audit. How health is computed

README

README.md