Lithium AI
Your team's decisions in every AI coding session
Lithium AI launched on May 20, 2026 with 5 votes, #2,008 of 20,538 launches that month and more than 75% of that year's launches.
What it does
Engineering decisions live in people's heads and old PRs. When they leave, it goes with them. New hires and AI tools start from zero every time. Lithium captures those decisions and distributes them to Claude Code, Cursor, and Windsurf via MCP. Add them manually or connect GitHub and they get extracted from merged PRs automatically. Before the AI writes anything, it already knows why your codebase is built the way it is.
Every time an engineer leaves, your team's knowledge leaves with them. Every time a new one joins, their AI tools have zero context. Lithium captures your team's decisions and serves them via MCP.
Engineers leave. Knowledge walks out the door. Lithium captures your team's decisions and distributes them to every AI tool via MCP. The knowledge stays, even when people don't. One config. Every AI tool pulls your decisions before writing code. Claude, Cursor, Windsurf. Same source of truth. Decisions live in clusters that mirror your codebase. auth.tokens, payments.webhooks, infra.deploy. Your AI gets the right context for the file it's editing. New hires inherit every convention from minute one. The tribal knowledge stops dying when the senior engineer goes on vacation. Connect Lithium to GitHub. When a PR merges, AI reads the diff and extracts the decisions worth keeping. Straight into…from getlithium.ai
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Fusion2025 · builder.io · ▲297One codebase for engineers, designers, PMs, and marketers. Everyone works from one source of truth, on brand and in code, with no handoffs to clean up.
Aviator Agents2025 · aviator.co · ▲97When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator…
SkillkitFeb 2026 · agenstskills.com · ▲252It's an open-source project that lets you create, translate, and work with multiple agents at the same time, and more.


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