Product-deep-dive is a skill for creating long-form AI product teardown documents in Feishu/Lark Docs. Help AIPM make a deep-dive of AI product.
GitHub repository with 6 stars and 0 forks.
Topics: agentic-ai, ai-development, claude-code, llm, skills
Trending score 0.04, activity score 0.04, stars gained +0, forks gained +0.
2026-06-05: 6 stars and 0 forks.
🌊 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 57,995 stars and 6,633 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: agentic-ai, agentic-framework, agentic-rag, agentic-workflow, agents, ai-agents
Hindsight: Agent Memory That Learns
GitHub repository with 15,752 stars and 895 forks.
Trending score: 4.22; stars gained: +129; forks gained: +10.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
GitHub repository with 32,450 stars and 4,179 forks.
Trending score: 3.74; stars gained: +259; forks gained: +31.
Language: TypeScript
Topics: agent, agent-native, agentic-ai, agents, ai, ai-agent
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
GitHub repository with 11,061 stars and 1,847 forks.
Trending score: 3.21; stars gained: +75; forks gained: +13.
Language: Python
Topics: agent-framework, agentic-ai, agents, ai, dotnet, multi-agent
Code Editor for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine
GitHub repository with 11,577 stars and 981 forks.
Trending score: 2.80; stars gained: +37; forks gained: +11.
Language: TypeScript
Topics: agentic-ai, ai-agents, claude-code, cli, codex, coding-agents
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
GitHub repository with 2,002 stars and 141 forks.
Trending score: 2.48; stars gained: +24; forks gained: +2.
Language: Python
Topics: agentic-ai, agentic-workflow, agents, function-calling, llama-cpp, llamafile
🌊 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 57,995 stars and 6,633 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: agentic-ai, agentic-framework, agentic-rag, agentic-workflow, agents, ai-agents
Hindsight: Agent Memory That Learns
GitHub repository with 15,752 stars and 895 forks.
Trending score: 4.22; stars gained: +129; forks gained: +10.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
GitHub repository with 32,450 stars and 4,179 forks.
Trending score: 3.74; stars gained: +259; forks gained: +31.
Language: TypeScript
Topics: agent, agent-native, agentic-ai, agents, ai, ai-agent
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
GitHub repository with 11,061 stars and 1,847 forks.
Trending score: 3.21; stars gained: +75; forks gained: +13.
Language: Python
Topics: agent-framework, agentic-ai, agents, ai, dotnet, multi-agent
Code Editor for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine
GitHub repository with 11,577 stars and 981 forks.
Trending score: 2.80; stars gained: +37; forks gained: +11.
Language: TypeScript
Topics: agentic-ai, ai-agents, claude-code, cli, codex, coding-agents
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
GitHub repository with 2,002 stars and 141 forks.
Trending score: 2.48; stars gained: +24; forks gained: +2.
Language: Python
Topics: agentic-ai, agentic-workflow, agents, function-calling, llama-cpp, llamafile