Support dynamic tool addition/removal after agent creation and in middleware
19 comments · 16 positive reactions
Start guided sprint →Agents for deep research, retrieval, knowledge work and scientific workflows. Every project is open source and ranked from public GitHub adoption, maintenance, quality, relevance and demand evidence.
Coverage changes as the GitHub scanner discovers and re-evaluates projects. Rankings are discovery signals, not paid placement or hands-on product reviews.
Evidence currently comes from 4 independent projects. Independent sources reduce the risk of mistaking one project backlog for a broader need.
19 comments · 16 positive reactions
Start guided sprint →17 comments · 37 positive reactions
Start guided sprint →29 comments · 5 positive reactions
Start guided sprint →23 comments · 10 positive reactions
Start guided sprint →15 comments · 7 positive reactions
Start guided sprint →Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
The agent engineering platform.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
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
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.
Your free workspace remembers this field, highlights newly qualified needs on return, and turns any signal into a seven-day validation sprint.