Hugging Face model♥ 19,348
Models
It also features flexible thinking controls, allowing users to tune reasoning depth and retain reasoning context across interactions.
- apache-2.0
- #multimodal
- #vision
- #agents
Trending on GitHub★ 16,085
Coding
Paradev is a desktop application that allows developers to run multiple CLI coding agents in parallel using separate Git worktrees and branches. It integrates terminal sessions, code review, and browser previews into a single workspace powered by your own agent subscriptions.
- typescript
- MIT
- #coding
- #agents
- #cli
Trending on GitHub★ 14,709
Design & images
It provides customizable theming without styling lock-in and allows teams to inspect or eject component source code directly into their projects.
- typescript
- MIT
- #design-system
- #react
- #ui
New on GitHub★ 7,636
Agents
Mika is an on-device AI agent for Android that operates apps and browses the web to complete tasks for you. It runs on a hidden background screen so you can keep using your phone normally, keeping your data local without relying on external project servers.
- Kotlin
- Apache-2.0
- #agents
- #android
- #automation
Hugging Face model♥ 5,392
Models
DeepSeek-V4.1-Flash-1017 is an updated multimodal model that enhances performance across reasoning, coding, and visual benchmarks.
- mit
- #multimodal
- #models
- #vision
Trending on GitHub★ 4,043
Data & search
PipesHub is an open-source enterprise search platform and context layer that connects business tools like Slack, Google Drive, and GitHub. It enables both teams and AI agents to query company knowledge with citation-backed answers that respect existing user permissions.
- python
- Apache-2.0
- #rag
- #search
- #mcp
New on GitHub★ 2,939
Cybersecurity
BLA is a defensive security tool designed to protect software builds, binaries, and app bundles from AI-powered reverse-engineering agents. It works by injecting decoy data and exhausting the analyzer's token and resource budgets to induce hallucinations without altering the application's actual runtime behavior.
- TypeScript
- MIT
- #security
- #agents
- #defense
Paper with code★ 5
Agents
This project compresses retrieval and tool outputs into latent representations instead of feeding long, raw text into LLM contexts. It provides code for training, evaluation, and baselines like LLMSummary and LLMLingua to reduce context overhead in multi-turn agent interactions.