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.
Market Signal
Why It Has Market Pull
DeerFlow is ByteDance's open-source long-horizon SuperAgent harness that researches, codes and creates using sandboxes, persistent memory, skills, sub-agents and a message gateway. Built on LangGraph/LangChain, its v2.0 rewrite topped GitHub Trending and it has grown into one of the largest corporate-backed agent frameworks.
- Roughly 73,773 stars and 9,961 forks, well above early press figures
- Hit #1 on GitHub Trending within 24 hours of the v2.0 launch (Feb 27-28, 2026)
- Backed by ByteDance; built on LangGraph/LangChain with Docker/Kubernetes sandboxes and MCP support
- Actively developed: ~951 open issues with last push June 23, 2026 and weekly progress reports
- Integrates Telegram, Slack, Feishu, WeChat and a Claude Code skill, plus LangSmith/Langfuse observability
feedbacks
What People Are Saying
"Its Arxiv search is particularly impressive, saving researchers a great deal of time."Dev.to article
"Multi-session continuity is a known gap and memory retrieval is inconsistent."Dev.to article
"FULLY FREE local deep research agent that can do almost anything."YouTube post
"ByteDance DeerFlow: deep research agents with a local LLM."YouTube post
"ByteDance's DeerFlow hits #1 on GitHub Trending."YouTube post
"Code execution tasks were reliable but not sophisticated."Dev.to article






















