Research and task-specific harnesses
Deep research, document QA, and domain-specific agent loops.
| # | Project | Stars | Tier | OSS | Description |
|---|---|---|---|---|---|
| 1 | DeerFlow memorymulti-agentsandboxpython | 78.9k | complex | ✅ | 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. |
| 2 | gpt-researcher multi-agentpython | 28.8k | complex | ✅ | Autonomous deep-research agent: web + local sources, citation-grounded reports, multi-agent and deep-research modes. The reference open-source research harness. |
| 3 | AutoResearchClaw multi-agent | 13.9k | complex | ❓ | 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. |
| 4 | MiroThinker evals | 8.4k | slightly 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. |
| 5 | openagents | 444 | complex | ✅ | Platform for autonomous agents and autopilot-style workflows; decentralized/Nostr-oriented (Pylon runtime, actively shipped in 2026). |