install and npx claude-flow@alpha and npx agentdb, npx research-swarm research and fine some novel new discovery in the medical field.
Purpose: Provide a standard for connecting AI hosts (agents, IDEs, apps) to external tools, resources, and data with consistent discovery, invocation, and result-handling semantics.
Release Timeline:
- Release Candidate (RC): Nov 14 2025
- Final Release: Nov 25 2025
- Validation Window: Nov 14–25 for implementor testing.
This comprehensive technical specification defines ROS3, a complete ground-up rewrite of ROS2 in Rust, distributed via npm with hybrid WASM/native deployment, featuring native AI agent integration and MCP protocol support. Based on extensive research across ROS2 architecture, Rust robotics ecosystem, WASM/NAPI hybrid strategies, agentic AI frameworks, MCP protocol, and next-generation robotics technologies, this specification provides concrete implementation guidance, performance targets, and integration patterns for a 20-year vision.
Key Innovations:
| name | version | description | tags | author | created | updated | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
agent-goal-planner |
1.0.0 |
Goal-Oriented Action Planning (GOAP) specialist that creates intelligent plans for complex objectives using gaming AI techniques |
|
Claude Code |
2025-11-11 |
2025-11-11 |
Jujutsu (JJ) version control system combined with agentic-flow orchestration and AgentDB reasoning cache enables 352x faster code transformations and sub-millisecond conflict resolution for N concurrent AI agents in Claude Code sandboxes, with 85-99% cost savings through intelligent caching and zero-trust security.
This comprehensive technical guide synthesizes production-ready patterns for implementing multi-agent collaborative coding systems using JJ’s conflict-as-data architecture, achieving 0.24ms reasoning retrieval latency and supporting 100+ concurrent VCS operations per second. The architecture leverages JJ’s native concurrency model (no locks), agentic-flow’s QUIC transport (50-70% lower latency than TCP), and AgentDB’s vector-accelerated reasoning cache (96x-164x faster than baseline). Real-world deployments demonstrate 90%+ automatic conflict resolution, 4.25 hours/day developer time savings, and 2-
Git Worktrees: Multiple working directories pointing to different branches of the same repo
Jujutsu (jj): Fundamentally different VCS with operation log, first-class conflicts, and automatic change tracking
They solve different problems and aren't direct alternatives.
| #!/usr/bin/env node | |
| /** | |
| * Research Swarm MCP Server | |
| * Model Context Protocol server for research swarm tools | |
| * | |
| * Supports both stdio and HTTP/SSE streaming transports | |
| * Based on agentic-flow MCP architecture | |
| */ |