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Tags: AI agents
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1–23 of 23 · Most stars

Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions.

  • agent-collaboration
  • agent-workforce
  • ai-agent
  • local-ai

Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.

FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence

  • ai-agents
  • ai-scientist
  • automated-research
  • autoresearch

TranslatedEvidence-chain whiteboard + MCP server for AI research agents: every claim traces back to the run and code that produced it. When an AI agent does research, every conclusion can be traced back to the code that produced it. Claude Code · Codex · Cursor · Gemini CLI

TranslatedThe doctor's manual for AI agent skills — audit, score and build skills with an evidence-based standard. Skill Doctor

Translated研迹 Trail (Yanji, "research trail"): a local-first AI investment research workbench. Connects market quotes, candlestick charts, and deep research, so that judgments are traceable and risks can be reviewed. Local-first AI investment research desktop with an evidence-grounded copilot.

An auditable, reversible, evaluable local agent runtime that turns feedback into skills — and ships them only when evidence and tests say so.