Research and task-specific harnesses

Deep research, document QA, and domain-specific agent loops.

#ProjectStarsTierOSSDescription
1DeerFlow
memorymulti-agentsandboxpython
84.8kcomplex✅ByteDance's long-horizon research **harness**: a LangGraph-based agent loop that researches, codes, and creates using sandboxes, memory, tools, and subagents behind a message gateway—an alternative to the reference gpt-researcher stack for multi-hour tasks.
2gpt-researcher
multi-agentpython
30.4kcomplex✅Autonomous deep-research agent: web + local sources, citation-grounded reports, multi-agent and deep-research modes. The reference open-source research harness.
3AutoResearchClaw
multi-agent
14.8kcomplex❓Fully autonomous, self-evolving research **harness**: multi-agent debate and citation verification carry a project from idea to a written paper without a human in the loop.
4MiroThinker
evals
8.4kslightly complex❓Deep-research **harness** tuned for long browsing-and-reasoning chains; benchmarked on BrowseComp, GAIA, and HLE by pairing a dedicated agent loop with its own MiroThinker models rather than bolting search onto a generic chat agent.
5openagents
461complex✅Platform for autonomous agents and autopilot-style workflows; decentralized/Nostr-oriented (Pylon runtime, actively shipped in 2026).
6Jev Social
browserclitypescript
194mostly simple✅Local-first social media research agent for Instagram, TikTok, and LinkedIn. The **harness** is a bounded decide-act-observe loop: the agent picks a typed, read-only operation from the currently valid candidates, the socai CLI runs it in the user's own Chrome session and returns evidence, and the run ends on an explicit finish or a step cap, keeping partial evidence and recoverable checkpoints when access is blocked.