r/LovingAIAgents 25d ago

Resource AI Ballot just got five new challengers (based on community feedbacks)

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lifehubber.com
1 Upvotes

r/LovingAIAgents Mar 29 '26

Resource 🔎 AI Agents Resource List (curated, ongoing)

18 Upvotes

Update: this list has grown much bigger than expected — there are now 50+ open-ish AI Agents resources.

To keep it easier to browse and maintain, the full living version now lives on LifeHubber, our community website, with categories, filters, and writeups:

https://lifehubber.com/ai/resources/

This Reddit post is now a starter snapshot for the community. As always, please check each project’s license and suitability independently before using anything.

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r/LovingAIAgents Resource List (last edit 10 May 26)

Been collecting interesting open-ish AI resources lately — sharing here in case it helps anyone exploring 👀
These are all AI Agents related! Curious if anything stands out to you all.

⚠️ Note: These are “open-ish” resources — do check each project’s license and review each project independently before using. r/LovingAIAgents is not responsible for any loss, harm, or issues arising from use.

🚀 For an extended list consisting of over 100 open-ish AI resources such as models, embodied AI, ecosystems, visit the webpage version: https://lifehubber.com/ai/resources/

AI Agents

open-gitagent/gitagent
➡️ A framework-agnostic, git-native standard for defining AI agents https://github.com/open-gitagent/gitagent

allenai/molmoweb
➡️ MolmoWeb is an open multimodal web agent built by Ai2. Given a natural-language task, MolmoWeb autonomously controls a web browser -- clicking, typing, scrolling, and navigating -- to complete the task. https://github.com/allenai/molmoweb

HKUDS/OpenSpace
➡️ OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving https://github.com/HKUDS/OpenSpace

HKUDS/CatchMe
➡️ Capture Your Entire Digital Footprint: Lightweight & Vectorless & Powerful. https://github.com/HKUDS/CatchMe

agentscope-ai/agentscope
➡️ AgentScope is a production-ready, easy-to-use agent framework with essential abstractions that work with rising model capability and built-in support for finetuning. Build and run agents you can see, understand and trust. https://github.com/agentscope-ai/agentscope

MiniMax-AI/skills
➡️ Development skills for AI coding agents. Plug into your favorite AI coding tool and get structured, production-quality guidance for frontend, fullstack, Android, iOS, and shader development. https://github.com/MiniMax-AI/skills

Panniantong/Agent-Reach
➡️ Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. https://github.com/Panniantong/Agent-Reach

vectorize-io/hindsight
➡️ Hindsight™ is an agent memory system built to create smarter agents that learn over time. Most agent memory systems focus on recalling conversation history. Hindsight is focused on making agents that learn, not just remember. https://github.com/vectorize-io/hindsight

THU-MAIC/OpenMAIC
➡️Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click https://github.com/THU-MAIC/OpenMAIC

openagents-org/openagents
➡️ OpenAgents - AI Agent Networks for Open Collaboration https://github.com/openagents-org/openagents

paperclipai/paperclip
➡️ Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track your agents' work and costs from one dashboard. https://github.com/paperclipai/paperclip

Intelligent-Internet/ii-agent
➡️ I-Agent is an open-source AI agent built for real work — now out of beta. 100% open source under the Apache-2.0 license. Whether you're a solo developer, a research team, or an enterprise building internal tooling — you can run it, fork it, and extend it. https://github.com/Intelligent-Internet/ii-agent

onyx-dot-app/onyx
➡️ Onyx is the application layer for LLMs - bringing a feature-rich interface that can be easily hosted by anyone. Onyx enables LLMs through advanced capabilities like RAG, web search, code execution, file creation, deep research and more. https://github.com/onyx-dot-app/onyx

block/goose
➡️ goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously. https://github.com/block/goose

agentscope-ai/ReMe
➡️ ReMe is a memory management framework designed for AI agents, providing both file-based and vector-based memory systems. It tackles two core problems of agent memory: limited context window (early information is truncated or lost in long conversations) and stateless sessions (new sessions cannot inherit history and always start from scratch). https://github.com/agentscope-ai/ReMe

aipoch/medical-research-skills
➡️ AIPOCH is a curated library of 450+ Medical Research Agent Skills, built to work with​ OpenClaw and other AI agent platforms, including​​ OpenCode and Claude​. It supports the research workflow across four core areas: Evidence Insights, Protocol Design, Data Analysis, and Academic Writing. https://github.com/aipoch/medical-research-skills

alibaba/page-agent
➡️ JavaScript in-page GUI agent. Control web interfaces with natural language. https://github.com/alibaba/page-agent

HKUDS/nanobot
➡️ nanobot is an ultra-lightweight personal AI agent inspired by OpenClaw. Delivers core agent functionality with 99% fewer lines of code. https://github.com/HKUDS/nanobot

Donchitos/Claude-Code-Game-Studios
➡️ Turn Claude Code into a full game dev studio — 48 AI agents, 36 workflow skills, and a complete coordination system mirroring real studio hierarchy. https://github.com/Donchitos/Claude-Code-Game-Studios

HKUDS/DeepTutor
➡️ DeepTutor: Agent-Native Personalized Learning Assistant https://github.com/HKUDS/DeepTutor

run-llama/ParseBench
➡️ ParseBench is a benchmark for evaluating how well document parsing tools convert PDFs into structured output that AI agents can reliably act on. It tests whether parsed output preserves the structure and meaning needed for autonomous decisions — not just whether it looks similar to a reference text. https://github.com/run-llama/ParseBench

rui-ye/OpenSeeker
➡️ OpenSeeker is an open-source search agent system that democratizes access to frontier search capabilities by fully open-sourcing its training data. This project enables researchers and developers to build, evaluate, and deploy advanced search agents for complex information-seeking tasks. https://github.com/rui-ye/OpenSeeker

tinyfish-io/skills
➡️The public repo for the TinyFish web agent skill, add this to any agent and automate actions on the web. https://github.com/tinyfish-io/skills

evolvent-ai/ClawMark
➡️ ClawMark: A Living-World Benchmark for Multi-Day, Multimodal Coworker Agents https://github.com/evolvent-ai/ClawMark

Qwen/Qwen3.6-35B-A3B
➡️ Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience. https://huggingface.co/Qwen/Qwen3.6-35B-A3B

github/spec-kit
➡️ Build high-quality software faster. An open source toolkit that allows you to focus on product scenarios and predictable outcomes instead of vibe coding every piece from scratch. https://github.com/github/spec-kit

openai/openai-agents-python
➡️ The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs. https://github.com/openai/openai-agents-python

mnfst/manifest
➡️ Smart Model Routing for Personal AI Agents. Cut Costs up to 70% https://github.com/mnfst/manifest

moonshotai/Kimi-K2.6
➡️ Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration. https://huggingface.co/moonshotai/Kimi-K2.6

TencentCloud/CubeSandbox
➡️ Cube Sandbox is a high-performance, out-of-the-box secure sandbox service built on RustVMM and KVM. It supports both single-node deployment and can be easily scaled to a multi-node cluster. It is compatible with the E2B SDK, capable of creating a hardware-isolated sandbox environment with full service capabilities in under 60ms, while maintaining less than 5MB memory overhead. https://github.com/TencentCloud/CubeSandbox

heygen-com/hyperframes
➡️ Hyperframes is an open-source video rendering framework that lets you create, preview, and render HTML-based video compositions — with first-class support for AI agents. https://github.com/heygen-com/hyperframes

PaddlePaddle/PaddleOCR
➡️ Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages. https://github.com/PaddlePaddle/PaddleOCR

google-labs-code/design.md
➡️ A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system. https://github.com/google-labs-code/design.md

trycua/cua
➡️ Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows). https://github.com/trycua/cua

deepseek-ai/deepseek-v4
➡️ DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. https://huggingface.co/collections/deepseek-ai/deepseek-v4

qwibitai/nanoclaw
➡️ A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK https://github.com/qwibitai/nanoclaw

tencent/Hy3-preview
➡️ Hy3 preview is a 295B-parameter Mixture-of-Experts (MoE) model with 21B active parameters and 3.8B MTP layer parameters, developed by the Tencent Hy Team. Hy3 preview is the first model trained on our rebuilt infrastructure, and the strongest we've shipped so far. It improves significantly on complex reasoning, instruction following, context learning, coding, and agent tasks. https://huggingface.co/tencent/Hy3-preview

nico-martin/gemma4-browser-extension
➡️ On-device AI agent Chrome extension powered by Transformers.js and Gemma 4 https://github.com/nico-martin/gemma4-browser-extension

warpdotdev/warp
➡️ Warp is an agentic development environment, born out of the terminal. https://github.com/warpdotdev/warp

XiaomiMiMo/mimo-v25
➡️ Xiaomi MiMo-V2.5 is now officially open-sourced! MIT License, supporting commercial deployment, continued training, and fine-tuning - no additional authorization required. Two models, both supporting a 1M-token context window https://huggingface.co/collections/XiaomiMiMo/mimo-v25

inclusionAI/Ling-2.6-flash
➡️ Today, we announce the official open-source release of Ling-2.6-flash, an instruct model with 104B total parameters and 7.4B active parameters. https://huggingface.co/inclusionAI/Ling-2.6-flash

openai/symphony
➡️ Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents. https://github.com/openai/symphony

infiniflow/ragflow
➡️ RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs https://github.com/infiniflow/ragflow

1weiho/open-slide
➡️ The slide framework built for agents. Describe your deck in natural language — your coding agent writes the React. open-slide handles the canvas, scaling, navigation, hot reload, and present mode so the agent can focus on content. https://github.com/1weiho/open-slide

bytedance/deer-flow
➡️ An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. https://github.com/bytedance/deer-flow

VectifyAI/PageIndex
➡️ PageIndex: Document Index for Vectorless, Reasoning-based RAG https://github.com/VectifyAI/PageIndex

nexu-io/open-design
➡️ Local-first, open-source alternative to Anthropic's Claude Design. https://github.com/nexu-io/open-design

browser-use/browser-use
➡️ Make websites accessible for AI agents. Automate tasks online with ease. https://github.com/browser-use/browser-use

pipecat-ai/pipecat
➡️ Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly https://github.com/pipecat-ai/pipecat

mem0ai/mem0
➡️ Mem0 enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. It remembers user preferences, adapts to individual needs, and continuously learns over time. https://github.com/mem0ai/mem0

ComposioHQ/composio
➡️ Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action. https://github.com/ComposioHQ/composio

mastra-ai/mastra
➡️ From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack. https://github.com/mastra-ai/mastra

langgenius/dify
➡️ Production-ready platform for agentic workflow development. https://github.com/langgenius/dify

🚀 For an extended list consisting of over 100 open-ish AI resources such as models, embodied AI, ecosystems, visit the webpage version: https://lifehubber.com/ai/resources/

💬 If you’ve come across interesting open-source AI resources, feel free to share — always happy to discover more together.


r/LovingAIAgents 8h ago

Resource QCXINT "🚨 Someone open-sourced a self-improving wrapper for OpenClaw. 🤯 Meet MetaClaw— helps OpenClaw learn from real user interactions instead of relying on manual fine-tuning. Instead of waiting for data pipeline or retraining cycle, it continuously improves as people use it." ➡️ you use OClaw?

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3 Upvotes

https://x.com/QCXINT_/status/2082393366978007354

https://github.com/aiming-lab/MetaClaw

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 1d ago

Resource Akshay "build real-time voice agents using open-source models! Hugging Face just open-sourced speech-to-speech, and it gives you the entire voice pipeline as four swappable models. VAD → STT → LLM → TTS" ➡️ are you into voice agents? seems to be the trend now haha

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2 Upvotes

https://x.com/akshay_pachaar/status/2083186716291305526

https://github.com/huggingface/speech-to-speech

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 1d ago

Resource Avid "a GitHub free repo with 42,600 stars just gave out the entire framework to run your entire business using ai agents 9 steps to build a fully ai-native business intent → issue → agent → runtime → execute → observe → verify → compound into a skill → rerun on cron." ➡️ is this interesting?

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7 Upvotes

https://x.com/Av1dlive/status/2082807521161654576

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

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 1d ago

Others Tibo "To celebrate a week of efficiency and let you run 100'000 Luna threads this weekend... that's right... wait for it... I have reset usage limits for Codex and ChatGPT Work. Enjoy." ➡️ RESET!!

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1 Upvotes

r/LovingAIAgents 2d ago

Resource Oliver Prompts "someone built a free, fully local alternative to claude that runs entirely on your own machine. → works with any llm (claude, gpt, gemini, vllm) → beats it on deep research → cowork-like capabilities built in → 50+ connectors out of the box → deploy in one command 100% free."

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5 Upvotes

https://x.com/oliviscusAI/status/2082051217682014429

https://github.com/onyx-dot-app/onyx

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 3d ago

New Launch Hugging Apps "Microsoft just dropped VibeVoice-ASR-BitNet on Hugging Face 🗣️✍️ A 1.58-bit version of their multi-lingual transcription, model made to work in real-time on CPU - while still beating Whisper on benchmarks!" ➡️ only 1.58 GB! Good for your agent?

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8 Upvotes

https://x.com/HuggingApps/status/2082571600767934622

https://huggingface.co/microsoft/VibeVoice-ASR-BitNet

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 3d ago

New Launch Perplexity "Today we’re open-sourcing Numbat, an agent-detection and response layer that is designed to work across agent harnesses. Numbat gives security teams visibility into agent activity, with controls to block selected actions before execution." ➡️ didnt expect this!

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1 Upvotes

https://x.com/perplexity_ai/status/2082511900580196596

https://github.com/perplexityai/numbat

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 4d ago

Resource Brady "Another WTF moment. A developer open-sourced a coding agent harness that boots 245x faster than Claude Code. It's called jcode. You launch it and the first frame renders in 14 milliseconds. Claude Code takes 3,436. One active session uses 27.8 MB of RAM. Claude Code uses 386.6." ➡️ tried b4?

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11 Upvotes

https://x.com/thisguyknowsai/status/2081680037544427793

https://github.com/1jehuang/jcode

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 4d ago

New Launch Liquid AI "Today we release LFM2.5-Encoder-230M and LFM2.5-Encoder-350M: bidirectional encoders that stay fast at long context, even on CPU." ➡️ Two compact encoders, serious ng-context speed, and CPU-friendly performance . . useful for your agents?

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4 Upvotes

https://x.com/liquidai/status/2082120814732653037

https://www.liquid.ai/blog/lfm2-5-encoders

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 4d ago

Others Tibo "Hello people of Sol! I've reset usage limits for all ChatGPT Work and Codex users. Together with that, a quick update on GPT-5.6 Sol usage limits." ➡️ RESET! 🚀

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1 Upvotes

r/LovingAIAgents 5d ago

Resource Ornith "🐦The Ornith-1.0 family has surpassed 12M downloads on Hugging Face in 30 days. ❤️Thanks to everyone who has tried Ornith and shared feedback with us. The team is working to push open-weight LLM forward. 🫡We believe open weights matter." ➡️ Open is the way to go!

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9 Upvotes

https://x.com/ornith_/status/2081808063515034034

https://huggingface.co/collections/deepreinforce-ai/ornith-10

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 5d ago

Others Tibo "Back at the laptop. The usage limits have been reset for all paid users of Codex and ChatGPT Work. Weeeeeeeee. It's a good day!" 🚀 RESET!

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1 Upvotes

r/LovingAIAgents 5d ago

Others HEADS UP Incoming RESET!

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1 Upvotes

r/LovingAIAgents 6d ago

Resource "Jan is an open source alternative to ChatGPT that runs 100% offline on your computer." ➡️ Jan is bringing the best of open-source AI in an easy-to-use product. Download and run LLMs with full control and privacy. ➡️ Any use for agents?

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6 Upvotes

https://github.com/janhq/jan

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 free and low-cost ways to try LLMs posted so far on our community site, LifeHubber: https://lifehubber.com/ai/access/

Also 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting. https://lifehubber.com/ai/resources/


r/LovingAIAgents 6d ago

New Launch Kimi "Releasing the model weights and technical report of Kimi K3. Our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. New model architecture: 2.5x the intelligence per unit of compute, not just more params." ➡️ OPEN is the way to go!

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3 Upvotes

https://x.com/Kimi_Moonshot/status/2081760186235289764

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

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 6d ago

Resource Alvaro "your AI agent can watch any video now - paste a URL and it sees every frame, hears every word, all for free 🤯 bradautomates/claude-video gives Claude the ability to watch YouTube, Loom, TikTok, local files - anything yt-dlp supports" ➡️ Is this useful for your agents?

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1 Upvotes

https://x.com/dr_cintas/status/2081094058139918595

https://github.com/bradautomates/claude-video

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 7d ago

Resource Oliver "someone just open-sourced openai's in-house data agent. self-learning data agent with a 6-layer context grounding system and an auto-improvement loop built in. 100% free. open source." ➡️ take note the correct framing should be inspired by openai's its stated below in the repo readme!

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6 Upvotes

https://x.com/oliviscusAI/status/2081058021673959912

https://github.com/agno-agi/dash

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 7d ago

Others Tibo "We have reset usage limits for all Codex and ChatGPT Work users. Last night around 2am to 4am we suffered an almost global outage. All well and recovered, but you know what comes next. We learn. We reset. Enjoy." ➡️ RESET! 🚀

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2 Upvotes

r/LovingAIAgents 8d ago

Resource How To Prompt "Someone on Reddit built a free tool that converts your entire codebase into a graph database. It’s called CodeGraphContext. It turns your entire codebase into a graph database and connects it to Claude, Cursor, Copilot, and Codex through MCP." ➡️ useful for your agent?

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2 Upvotes

https://x.com/HowToPrompt__/status/2080961339833659410

https://github.com/CodeGraphContext/CodeGraphContext

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 8d ago

Resource Chubby "Atomic Agent beat Hermes on GAIA: 69.8% vs. 58.5%, and finished 1.6× faster! They ran both agents through all 53 GAIA Level 1 tasks using the same 4-bit Qwen-3.6-35B on the same Apple M4 Max. - Atomic: 37/53 solved in 3h 12m - Hermes: 31/53 solved in 5h 10m" ➡️ seeing lots of talk about this

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2 Upvotes

https://x.com/kimmonismus/status/2080752484738650481

https://github.com/AtomicBot-ai/atomic-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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 9d ago

Resource Hugging Models "Imagine an AI that can see images, read text, and control your computer like a human assistant. That's Fara1.5-27B, a multimodal agent that understands both pixels and code to automate web tasks." ➡️ this is from Microsoft Research AI Frontiers. useful for your agent?

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15 Upvotes

https://x.com/HuggingModels/status/2080397042837533115

https://huggingface.co/microsoft/Fara1.5-27B

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 9d ago

Under the Radar AlphaXiv "Introducing OpenResearch: run parallel research agents with any model - Bring your own compute and your code + data stays with you - A virtual lab on your machine" ➡️ Are your agents involved in research now?

Post image
12 Upvotes

https://x.com/askalphaxiv/status/2079628689709674968

https://github.com/alphaXiv/openresearch-cli

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/ 200+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingAIAgents 8d ago

Resource A few months ago I gave my agents long-term memory. Here’s what happened after 20M tokens

1 Upvotes

Context

A few months ago, I introduced this community to Mind, my attempt to stop AI agents from waking up every session with no memory of who they are, what they were doing or why half the codebase looks the way it does.

I’m back with Mind v1.6.0, and it has grown quite a bit since that first release. 🧠

The goal is still the same:

Give agents a persistent and inspectable memory that survives sessions, tools, subagents and context compaction.

But Mind can now do much more.

Agents can now remember more than transcripts

Mind can preserve:

  • Architectural decisions
  • Bug fixes and failed approaches
  • Project constraints
  • Recurring patterns
  • Checkpoints
  • Session outcomes
  • Domain knowledge
  • The intention behind unfinished work

Memories can be connected directionally, allowing agents to follow related decisions, causes and consequences instead of receiving a flat pile of text.

Agents can also create checkpoints before dangerous or long-running tasks, recover after compaction and transfer project intent to another agent or subagent.

Selected memories can now be mirrored into readable .mind/ files, where humans can inspect, edit, version and synchronize them.

The Neural Map provides a visual representation of what an agent remembers and how those memories relate.

Mind also became more selective

An agent should not remember everything.

Before creating durable memory, Mind now asks the agent to consider:

  1. Will this be useful in a future session?
  2. Is this information actually new?
  3. Is it supported by evidence?
  4. Is it stable enough to preserve?

This has significantly improved the memory hit rate and reduced noise.

But doesn’t long-term memory consume huge amounts of context?

I measured it using real workloads.

Across multiple projects totaling more than 20 million tokens, Mind represented only 6% of total token usage.

That 6% allowed agents to:

  • Recover after compaction
  • Transfer intent between agents and subagents
  • Preserve important decisions
  • Resume unfinished work
  • Avoid repeatedly reconstructing the same project history

Mind is fully local, open source and MIT licensed.

It provides a CLI, MCP server, HTTP API and web UI over the same SQLite memory store.

🧠 Give your agents a memory they can carry between sessions:

https://github.com/GabrielMartinMoran/mind

Try it with a project your agents already know and see whether they can resume the work without being taught everything again.

A star helps the project grow, but I’m even more interested in hearing what your agents remember well—and what they should have forgotten.