Lucid
Real-time knowledge grounding for AI agents.
What it does
Every AI agent today runs on stale training data. They recommend deprecated APIs, hallucinate function signatures, and confidently give you outdated answers. Lucid fixes this. It's a real-time knowledge layer that forces agents to pull live docs, current package versions and verified sources before responding. Works as a Claude Code plugin and OpenClaw skills. Install in 30 seconds, set your API key and your agent stops guessing and starts grounding its answers in reality.
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- 2C20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53
Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
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Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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