AutoResearchClaw

v0.4.0 — Human-in-the-Loop Co-Pilot System

AutoResearchClaw is no longer purely autonomous. The new HITL Co-Pilot system transforms the pipeline into a human-AI collaborative research engine.

Highlights

• 6+ Intervention Modes: full-auto, gate-only, checkpoint, step-by-step, co-pilot, custom, express
• Idea Workshop: Brainstorm and refine hypotheses collaboratively (Stages 7-8)
• Baseline Navigator: Review and customize experiment designs (Stage 9)
• Paper Co-Writer: Section-by-section collaborative drafting (Stages 16-19)
• SmartPause: Confidence-driven dynamic intervention
• ALHF Intervention Learning: Learns from your review patterns
• Claim Verification: Inline fact-checking against collected literature
• Cost Guardrails: Budget monitoring with threshold alerts
• Pipeline Branching: Fork to explore multiple research directions
• CLI Commands: attach, status, approve, reject, guide
• 3 Adapters: CLI, WebSocket, MCP

New Files

• researchclaw/hitl/ — 34 modules (7,500+ lines)
• tests/test_hitl_*.py — 9 test files (242 tests)
• docs/HITL_GUIDE.md — 620-line guide
• 3 new builtin skills

Testing

• 2,753 tests passed, 0 failures

Full Changelog: https://github.com/aiming-lab/AutoResearchClaw/compare/v0.3.2...v0.4.0

What's New

Cross-Platform Support

• ACP-compatible agent backends: Claude Code, Codex CLI, Copilot CLI, Gemini CLI, Kimi CLI
• OpenClaw bridge: messaging platform integration (Discord, Telegram, Lark, WeChat)
• CLI-agent code generation backend: delegates Stages 10 & 13 to external CLI agents with budget control and timeout management

Anti-Fabrication System

• VerifiedRegistry: ground-truth whitelist from experiment results with tolerance matching
• Experiment diagnosis & repair loop: 13 deficiency categories, auto-repair with best-result selection
• Always-on sanitization: unverified numbers replaced in paper tables

Stability & Quality

• 100+ bug fixes across 8 deep audit rounds
• Modular executor refactoring (10K → 400-line facade)
• --resume auto-detection for interrupted runs
• LLM retry hardening with exponential backoff
• Community-reported fixes (macOS M3, math/theoretical topics)

New Subsystems

• Assessor (paper quality scoring + venue recommendation)
• Calendar (conference deadline tracking)
• Collaboration (multi-user research coordination)
• Copilot (interactive steering modes)
• Dashboard (real-time metrics broadcasting)
• Knowledge Graph (entity extraction + visualization)
• Memory (cross-run experiment/ideation/writing memory)
• MCP (Model Context Protocol server)
• Overleaf (live sync with conflict resolution)
• Project Manager (multi-project scheduling)
• Remote Servers (SSH/SLURM/cloud execution)
• Skills Library (12 built-in domain/tooling skills)
• Trends (daily arXiv digest + opportunity finder)
• Voice (speech-to-text commands)
• Wizard (guided project setup)

Testing

• 1,935 tests passing

Full Changelog: https://github.com/aiming-lab/AutoResearchClaw/compare/v0.3.1...v0.3.2