Zhanli-Li/DeepRead
[DeepRead] This is the official implementation of the DeepRead paper.
GitHub repository with 51 stars and 3 forks.
Language: Python
Topics: agentic-rag, ocr, rag, deepread
[DeepRead] This is the official implementation of the DeepRead paper.
GitHub repository with 51 stars and 3 forks.
Language: Python
Topics: agentic-rag, ocr, rag, deepread
2026-06-05: 51 stars and 3 forks.
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.
GitHub repository with 25,169 stars and 1,936 forks.
Trending score: 2.20; stars gained: +93; forks gained: +11.
Language: Python
Topics: agent, agentic-rag, ai-agents, clawbot, context-database, context-engineering
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
GitHub repository with 4,901 stars and 628 forks.
Trending score: 1.64; stars gained: +30; forks gained: +6.
Language: Python
Topics: agent, agentic-ai, agentic-framework, agentic-rag, agentic-workflow, ai
Local-first RAG and agent skills framework for source-traceable agent memory.
GitHub repository with 19 stars and 2 forks.
Trending score: 0.48; stars gained: +2; forks gained: +0.
Language: Python
Topics: agent-memory, agent-skills, agentic-ai, agentic-rag, ai-agents, ai-workflows
Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.
GitHub repository with 85 stars and 22 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: graphrag, llm, rag, retrieval-augmented-generation, video-understanding, vlm
The agent that grows with you
GitHub repository with 181,649 stars and 31,166 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 13,361 stars and 853 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,422 stars and 2,253 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 30,029 stars and 4,231 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,250 stars and 534 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,371 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
GitHub repository with 57,954 stars and 6,626 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: claude-code, swarm, agentic-ai, agentic-framework, agentic-rag, agentic-workflow
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.
GitHub repository with 25,169 stars and 1,936 forks.
Trending score: 2.20; stars gained: +93; forks gained: +11.
Language: Python
Topics: agent, agentic-rag, ai-agents, clawbot, context-database, context-engineering
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
GitHub repository with 4,901 stars and 628 forks.
Trending score: 1.64; stars gained: +30; forks gained: +6.
Language: Python
Topics: agent, agentic-ai, agentic-framework, agentic-rag, agentic-workflow, ai
A comprehensive interview preparation guide covering all major RAG (Retrieval-Augmented Generation) architectures. 100 questions across 10 types, from Naive RAG to Agentic, Graph, Self-RAG, and beyond. Includes difficulty tags, detailed answers, a cheatsheet, and a decision tree.
GitHub repository with 45 stars and 1 forks.
Trending score: 0.57; stars gained: +3; forks gained: +0.
Topics: agentic-rag, ai, deep-learning, generative-ai, graph-rag, interview-preparation
Local-first RAG and agent skills framework for source-traceable agent memory.
GitHub repository with 19 stars and 2 forks.
Trending score: 0.48; stars gained: +2; forks gained: +0.
Language: Python
Topics: agent-memory, agent-skills, agentic-ai, agentic-rag, ai-agents, ai-workflows
A universal memory and wiki knowledge layer for AI agents — structured enough for automation, readable enough for humans.
GitHub repository with 38 stars and 0 forks.
Trending score: 0.14; stars gained: -18; forks gained: +0.
Language: TypeScript
Topics: agentic-memory, agentic-rag, agentic-workflow, ai, ai-agent, ai-skill