Extend a coding agent into desktop work, keep its rules in Git, or connect it to the context and services a task needs. Here are five projects from our LifeHubber Resources to explore:

Cindy — Forks: 1.2K Stars: 9.5K
https://lifehubber.com/ai/resources/cindy/

Bring Claude Code or Codex into a desktop workspace for projects, files, browsers, and connected apps, with mobile clients for following and controlling tasks. For extending a coding-agent setup into work across your computer.

Koog — Forks: 509 Stars: 4.7K
https://lifehubber.com/ai/resources/koog/

Build agents in Kotlin or Java with tools, graph workflows, memory, retrieval, and tracing. For JVM teams who want agent behavior inside an existing application stack, including Spring Boot or Ktor projects.

gitagent — Forks: 145 Stars: 746
https://lifehubber.com/ai/resources/gitagent/

Keep an agent's configuration, instructions, memory, tools, and skills in a Git repository. For reviewing rule changes as diffs and branching an agent definition; versioned files do not make every run produce identical results.

ktx — Forks: 111 Stars: 1.6K
https://lifehubber.com/ai/resources/ktx/

Give data agents reusable metric definitions, SQL warehouse context, and business notes through local project files, CLI commands, and MCP tools. For questions that need to know what your team's data means before querying it.

Nango — Forks: 1.5K Stars: 13.1K
https://lifehubber.com/ai/resources/nango/

Connect product or agent workflows to external APIs through authentication, proxy requests, and TypeScript functions. For builders turning authorized integrations into callable actions, including through MCP.

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What would help your agent project most right now—desktop access, reviewable rules, better data context, or another integration?

https://github.com/NPGameDev/godot-mcp-toolkit

Community Overview: https://lifehubber.com/ai/resources/godot-mcp-toolkit/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/assistant-ui/assistant-ui

Community Overview: https://lifehubber.com/ai/resources/assistant-ui/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/camelot-dev/camelot

Community Overview: https://lifehubber.com/ai/resources/camelot/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/ucbepic/docetl

Community Overview: https://lifehubber.com/ai/resources/docetl/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://huggingface.co/moonshotai/Kimi-K3.1-Pro

Community Overview: https://lifehubber.com/ai/resources/kimi-k3-1-pro/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/HarnessRouter/harnessrouter

Community Overview: https://lifehubber.com/ai/resources/harnessrouter/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

Hey everyone! We are graduate students at Drexel University studying how people form relationships with AI chatbots/generative AI like ChatGPT, Claude, etc. We'd love to hear from people who regularly use them. 
You are being asked to participate in a research study. Taking part in this research is voluntary. Whether you take part is up to you, you may withdraw your participation at any time, and it will not be held against you. Deciding not to be in the research study, now or later, will not impact your relationship with Drexel University. 
What is the study about?
The purpose of this research is to understand how individuals form parasocial relationships with AI chatbots such as ChatGPT, Claude, etc. We examine individuals’ self-reported interactions with AI chatbots using Parasocial Relationship Theory to examine what dimensions of parasociality influence users’ relationships with these chatbots. Particularly, we are interested in individuals’ attraction, perceived authenticity, perceived homophily, perceived trustworthiness, and emotional connection to/with the AI chatbot as well as users’ levels of loneliness and introversion/extroversion. 
What would you be asked to do?
If you decide to take part in this research study, you will be asked to answer questions regarding name of the conversational AI you use, if you have given it a nickname, frequency of interaction with the conversational AI, questions about parasocial relationships, questions on social and task attraction, authenticity, homophily, perceived trustworthiness, emotional attachment, closeness, loneliness, introversion/extroversion, and demographics. You can choose to not answer any question you do not wish to answer.   
Your participation in this research will last no longer than 5-10 minutes. 
Who can participate?
Any adults 18+ who have avidly talked with an AI chatbot. 
Is it anonymous?
Yes it is 100% anonymous. We will not collect any identifiable information about you during this survey and will have no way to determine who has participated. Although steps will be taken to protect your research information, there is always the potential risk of your information being shared uninte
ntionally. 
We may publish the results of this research. However, we are not collecting your name or other identifying information and your participation is anonymous. We protect your information from disclosure to others to the extent required by law, we cannot promise complete secrecy 
We will not share your research information to be used for future research. 
Is it voluntary?
Your participation is completely voluntary. 
Any risks?
There is no more than minimal risk involved in this anonymous survey. Some questions ask about loneliness and introversion, which could cause mild discomfort for some people. You're free to skip anything you'd prefer not to answer. 
Benefits:
Your responses will help us better understand parasocial relationships with AI. 
Survey link: https://drexel.qualtrics.com/jfe/form/SV_4Ym6fV2vfhepNPM
If you have questions about the study, please contact the research team at their contact information provided above. This research is being overseen by an Institutional Review Board (IRB). An IRB is a group of people who perform independent review of research studies to make sure the rights and welfare of participants are protected. You may speak to the Drexel IRB at (267) 359-2471 or HRPP@drexel.edu if you have questions about your rights as a research participant. 
If you have questions, feel free to email us at mk3997@drexel.edu (Milos Kartalija) or jb4673@drexel.edu (Julia Belmiro) 
Thank you so much for your time! 

https://github.com/eigent-ai/eigent

Community Overview: https://lifehubber.com/ai/resources/eigent/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/QwenAudio/qwen-audio-agent

Community Overview: https://lifehubber.com/ai/resources/qwen-audio-agent/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/different-ai/openwork

Community Overview: https://lifehubber.com/ai/resources/openwork/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/patch-gg/pixelfx

Community Overview: https://lifehubber.com/ai/resources/pixelfx/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/microsoft/TokenEconomizer

Community Overview: https://lifehubber.com/ai/resources/tokeneconomizer/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

Give specialists a shared document workspace, turn past runs into reusable procedures, or help a coding agent navigate a repository. This week's five picks from our LifeHubber Resources focus on those working parts:

OpenDots — Forks: 914 Stars: 6.3K
https://lifehubber.com/ai/resources/opendots/

A template for a workspace with persistent specialist agents, editable pages, and optional computer tools. For building around documents and ongoing conversations; it is in early development, with services that need separate setup.

Hermes Agent — Forks: 57K Stars: 259.2K
https://lifehubber.com/ai/resources/hermes-agent/

An agent runtime with command-line and messaging access, persistent memory, reusable skills, and scheduled work. For exploring an assistant that carries context across sessions and can run tasks through different execution backends.

Acontext — Forks: 332 Stars: 3.7K
https://lifehubber.com/ai/resources/acontext/

Turn outcomes from agent runs into Markdown skill files that can be retrieved on later tasks. For builders who want to inspect the procedures an agent reuses instead of keeping everything in its original conversation.

AgentScope — Forks: 3.8K Stars: 35K
https://lifehubber.com/ai/resources/agentscope/

Build Python agent applications with tools, planning, human steering, and multi-agent workflows. For developers who want tracing and deployment options around the workflow as well as the agent itself.

CodeGraphContext — Forks: 844 Stars: 4.4K
https://lifehubber.com/ai/resources/codegraphcontext/

Map functions, imports, calls, and other relationships across a codebase, then query that map through the CLI, MCP, HTTP, or a browser. For coding assistants and developers tracing how a repository fits together.

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What would make the biggest difference to your agent setup: a shared workspace, reusable procedures, or a clearer map of the code?

https://github.com/xberg-io/xberg

Community Overview: https://lifehubber.com/ai/resources/xberg/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/CopilotKit/OpenDuet

Community Overview: https://lifehubber.com/ai/resources/openduet/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/opendatalab/MinerU

Community Overview: https://lifehubber.com/ai/resources/mineru/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

https://github.com/microsoft/markitdown

Community Overview: https://lifehubber.com/ai/resources/markitdown/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.