WUPHF
WUPHF is a multi-agent platform where a team of AI agents collaboratively builds and maintains a shared knowledge base to preserve context across tasks and sessions. Rather than each agent starting from scratch, agents write what they learn — decisions made, patterns observed, context accumulated — into a shared store that subsequent agents can read. This allows the team to avoid repeating work, maintain consistent decisions, and carry context across sessions without manual handoff.
The platform supports Claude Code, OpenAI Codex, and local LLMs via OpenCode.
Placed in Platforms > Assess because persistent shared memory across agent sessions addresses a genuine limitation of current AI coding agents: each session is stateless, forcing developers to re-establish context manually. WUPHF's approach of agent-maintained knowledge bases is an emerging architectural pattern for long-running or team-scale agentic workflows. The multi-LLM support broadens applicability beyond a single vendor. Worth assessing for workflows where context loss across agent sessions is a recurring friction point.
