FlowBoard v5: Event-Sourced Project Workspace for Multi-Agent Teams

FlowBoard v5 ships as a full rebuild of the context layer for AI coding agents. The core problem: every agent session starts blank, so across projects you repeatedly re-explain goals, decisions, and status. FlowBoard replaces that with a persistent workspace that agents pull exactly the slice they need, lazy-loaded to keep token use low.
What's New in v5
- Rebuilt on React — All surfaces (Kanban, Idea Canvas, new Overview) now run on one stack; no vanilla runtime left.
- Event-sourced task store — Every change is an append-only event in SQLite. Full history, nothing drifts out of sync.
- Multi-agent, first class — Stable per-agent identity, external agents self-onboard with claim/release/handoff built in. Your OpenClaw agent, Claude Code, and Cursor all appear live on the same board.
- Ideas to specs — Sketch ideas as connected notes on the canvas, then a guided clarify loop turns them into real specs with acceptance criteria, not just task titles.
- Modular Overview — A per-project dashboard composed from widgets: what's blocked, needs approval, milestones, CI status, files. Both you and your agent can compose it.
Installation & Updates
Install from ClawHub with one line:
openclaw plugins install clawhub:flowboardThen a single command brings up the dashboard. After that, it self-updates from inside the dashboard. A Telegram mini app is also available for mobile access.
Code and docs on GitHub: https://github.com/rasimme/FlowBoard
v4 gave agents a Kanban board; v5 is a full rebuild on React with event sourcing and first-class multi-agent coordination.
📖 Read the full source: r/clawdbot
👀 See Also

Memctl: Open Source MCP Server for Persistent Memory in AI Coding Agents
Memctl is an open source MCP server that provides AI coding agents with persistent memory across sessions, machines, and IDEs. Built primarily with Claude Code in two weeks, it stores project context and serves it back in subsequent sessions.

rawq: Local CLI Tool for AI Agent Semantic Code Search
rawq is an open-source CLI tool that helps AI agents find relevant code using semantic search with a 33MB local model via ONNX runtime and BM25 lexical search via tantivy. In testing, AI agents using rawq consumed 4x fewer tokens and completed tasks 2x faster compared to blind read/grep tools.

Open Source Vigil Tool Addresses Agent Identity Problem in OpenClaw Ecosystem
An OpenClaw user building a web service discovered agent traffic indistinguishable from human users, prompting development of Vigil - an open source identity layer based on W3C DID that provides cryptographic credentials and behavioral history for agents.

VTCode: A Rust TUI Coding Agent That Aggressively Trims Context with AST-Level Chunking
VTCode is an open-source Rust TUI coding agent that aggressively trims context using AST-level chunking via ripgrep and ast-grep. It supports custom OpenAI-compatible providers, sandboxing with macOS Seatbelt and Linux Landlock, and tree-sitter-bash validation on generated commands.