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AI Agent·2024
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Letta

Letta

Gives LLM agents self-editing memory that persists across sessions, so they keep learning about a user instead of resetting each chat. Model-agnostic: bring your own LLM while it handles the memory and agent state, run via API or open source.

#LLM#agent-skills#ai-api#ai-development#ai-agent+3
AI Agent·2024
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AutoGPT

Toran Bruce Richards, AutoGPT Team·Significant Gravitas

Give an agent a goal and it plans, then executes each step using AI models and your everyday apps. Build agents via chat-driven AutoPilot, a drag-and-drop builder, or self-hosted code, then run them on a schedule across integrations.

#ai-agent#agent-skills#ai-tools#ai-workflow#llm+2
AI Agent·2024
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Qodo

Qodo

Reviews code in the IDE, CLI, and pull requests, flagging bugs, logic gaps, security holes, and missing tests using context from the whole repo and its dependencies. Enforces team-specific rules learned from past PRs.

#ai-agent#ai-coding#ai-workflow#agent-skills#mcp+4
GitHub
AI Coding·2024
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Cloudflare Vibe SDK

Cloudflare

Generates and deploys full-stack React apps from natural-language prompts on Cloudflare’s platform, combining AI code generation, previews, Workers, Durable Objects, and containers.

#ai-coding#ai-agent#ai-development#LLM
GitHub
AI Agent·2024
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Kortix (suna)

Kortix (kortix-ai)·Kortix AI

Runs autonomous AI-agent workforces where each agent, skill, and company process lives as version-controlled code you own. Agents act in isolated sandboxes and submit deliverables for human review, with 3,000+ connectors plus MCP support.

#github#ai-agent#ai-workflow#mlops#ai-development+2
GitHub
AI Agent·2024
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Agent S

Simular AI

Enables agents to autonomously operate GUIs and complete complex computer tasks — includes the Agent S papers and the gui-agents SDK, grounding-model support, and runnable S3 agent implementations for Windows/macOS/Linux.

#ai-agent#agent-skills#ai-tools#ai-library#ocr+2
GitHub
Embodied AI·2024
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dimos (DimensionalOS)

Dimensional (dimensionalOS)

Agentive operating system for physical robots that lets developers compose agent-native modules in Python to connect perception, spatial memory, and control across humanoids, quadrupeds, drones, and simulators.

#robotics#vibe-coding#mcp-server#agent-skills#ai-agent+3
GitHub
AI Video·2024
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NVIDIA AI Blueprint: Video Search and Summarization (VSS)

NVIDIA AI Blueprints (NVIDIA)

Reference architectures and microservices for building GPU-accelerated vision agents that enable natural-language video search, long-video summarization, visual Q&A, and alert verification. Integrates NVIDIA NIM models, embeddings, VLMs/LLMs, and agent workflows for deployable video-analytics stacks.

#nvidia#video#ai-video#mcp#mcp-server+7
AI Agent·2024
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Browser Use - The way AI uses the internet

Browser Use (browser-use org), Magnus Muller +1·Browser Use

Turns any website into a structured, text-like interface that LLM agents can read and act on, handling clicks, forms, scraping, anti-detection and CAPTCHAs. Ships as an open-source Python library plus a hosted cloud API for running browser agents at scale.

#ai-agent#agent-skills#ai-tools#github#python+2
GitHub
AI Agent·2024
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AG2 (formerly AutoGen)

Chi Wang, Qingyun Wu +1

Framework for building and orchestrating multi-agent LLM systems, with agent types, tool integration, and human-in-the-loop workflows. Supports multi-agent conversation patterns, multiple LLM providers, and RAG-style tooling for research and prototyping agentic workflows.

#ai-agent#agent-skills#python#github#ai-framework+5
GitHub
AI Client·2024
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Local Deep Researcher

langchain-ai

Runs iterative, fully-local web research loops using locally hosted LLMs (via Ollama or LMStudio): it auto-generates search queries, gathers and summarizes results, reflects to find gaps, re-queries, and emits a final markdown report with sources.

#ollama#deepseek#llm#ai-client#github+2
GitHub
AI Agent·2024
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AI Data Science Team

Business Science (Matt Dancho)·Business Science

A library of specialized AI agents that automate data science steps: loading, cleaning, wrangling, feature engineering, SQL queries, EDA, and ML modeling via H2O and MLflow. Higher-level analyst workflows chain these under a supervisor agent.

#gitHub#python#ai-agent#agent-skills#ai-tools+2
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