Agentic Context Engine (ACE)
🧠A framework that provides AI Agents with a persistent learning loop, enabling self-improvement from experience via strategy injection without fine-tuning or vector databases.
OtherModel Context ProtocolAI Agents
Browse by Filters
Project Type
Filter by Domain
Clear Domain FiltersAll DomainsDeveloper Tools & Coding538Automation, Workflow & RPA413Protocol, API & Integration345Knowledge Management, Retrieval & RAG200Model Training & Inference132Education & Research Resources110Security & Privacy97Enterprise Applications & Office83Computer Vision & Multimodal74Data Analytics, BI & Visualization43Finance18Medical & Biomedicine7
Filter by Product Form
Other
15 projects
Second Brain
✨A local-first agentic framework acting as a personal operating system, leveraging file intelligence, event-driven workflow automation, and LLMs for cross-modal task execution and multi-platform interaction.
OtherMultimodalRAG
llm-for-zotero
✨An AI research assistant plugin that deeply integrates LLMs into Zotero, featuring paper chat, multi-paper comparison, Agent Mode for automated literature management, and note export to Obsidian/Logseq.
OtherRAGLarge Language Models
OpenAgent
✨Next-generation personal and enterprise AI assistant platform powered by LLM, RAG, and agent loops, featuring multi-channel gateways, visual BPMN workflow orchestration, and multi-tenant isolation.
OtherLarge Language ModelsModel Context Protocol
TEMM1E
✨Cloud-native persistent autonomous AI agent runtime in Rust, featuring multi-channel access, 13-layer self-learning, self-distillation, self-growing code (Cambium), and Witness verification system.
OtherModel Context ProtocolAI Agents
RLinf
✨Flexible and scalable reinforcement learning training infrastructure for embodied and agentic AI post-training, decoupling logical workflow composition from efficient physical execution via the M2Flow paradigm.
MultimodalAI AgentsReinforcement Learning
CowAgent
✨A super AI agent framework powered by LLMs, supporting multi-channel access (WeChat/Feishu/DingTalk/etc.) with autonomous task planning, long-term memory, knowledge base, and skills system
OtherLarge Language ModelsRAG
DataFlow
✨An all-in-one data preparation system for LLMs, supporting reproducible operator pipelines for data generation, cleaning, evaluation, and filtering.
Model & Inference FrameworkNatural Language ProcessingRAG
AWorld
✨An open-source framework for building, evaluating, and training general multi-agent systems. Features natural language agent creation, distributed reinforcement learning training pipeline, and complex environment interactions. Ranks top on authoritative benchmarks including GAIA, OSWorld, and VisualWebArena.
OtherMultimodalLarge Language Models
AI Data Science Team
✨An AI-powered data science team of agents that automates data loading, cleaning, feature engineering, EDA, visualization, and machine learning modeling (H2O + MLflow) through specialized agent collaboration, featuring a Streamlit visual pipeline studio to perform common data science tasks 10X faster.
OtherMachine LearningMulti-Agent System
Per page
Page 1 / 2 · 15 total