Inkeep

We’re launching something special. Introducing OpenKnowledge, a beautiful macOS app designed to be the best experience for authoring AI-native knowledge bases. For personal and team use, available as a macOS app.

The fastest way to make your AI agents smarter isn't a better model. It's better docs. Customer-facing assistants, internal copilots, sales research agents, support deflection bots. Every one of them is only as smart as the knowledge base they're reading from. Which means every outdated article compounds. It's not one stale doc anymore. It's: → A customer-facing AI quoting last quarter's pricing as fact → An engineering copilot suggesting an API endpoint that was deprecated two releases ago → A sales rep's research agent missing the new feature that would have answered the prospect's biggest objection → A customer success agent prepping for a QBR with talking points from before the platform overhaul Same gap, multiplied across every agent that touches the KB. The bigger failure isn't the agent saying "I don't know." It's the agent giving an outdated answer with full confidence. The customer makes the wrong decision. The engineer ships against the wrong API. The prospect walks before anyone realizes the docs were wrong. By the time the gap surfaces, the damage is already downstream. The fix isn't a bigger model or a better retriever. It's a feedback loop between what your team actually knows and what your docs actually say. That's what we built Inkeep's Content Writer for. Resolved support tickets, GitHub PRs, and ad-hoc Slack messages from your team turn into doc drafts automatically. Every one queues for a human to review and approve. Your docs stay current. Your agents stay accurate. The rest of the business stops paying the tax. Try the interactive demo → https://lnkd.in/gRetdWXf

Your docs are always running behind product. And your AI assistant pays the price. Every support team I talk to has the same problem. Edge cases get answered in tickets and never make it back to the docs. Product ships faster than the changelog can keep up. Tribal knowledge stays trapped in Slack threads. An AI assistant grounded in your docs can only answer what's actually been written down; so the gap between what your team knows and what your assistant knows keeps widening. We just shipped Inkeep's Content Writer to close that loop. It works three ways: → Watches resolved support tickets and drafts updates when reps answered something that isn't yet in the docs → Watches GitHub PRs and flags articles that need to change when the product changes → Can be invoked directly in Slack: "we're shipping X next week, what articles need updating?" Every draft goes to a human for review and approval before anything publishes. The Content Writer does the audit and the first pass; your writers do what writers are actually good at: judgment. The outcome is the closed loop that's supposed to exist between support and docs, finally running on its own. Your docs stay current with what's actually shipping, and your Inkeep AI assistant gets meaningfully smarter every week, without anyone having to manage it. We're running 1-month pilots right now. Comment or DM if you'd like to see it on your own knowledge base. Watch the demo → https://lnkd.in/gCfY2BSH

Missed our latest webinar with Composio? We walked through how to give AI agents access to 15,000+ tools using Inkeep + Composio MCP servers — without building integrations from scratch. ⚡ Live demos connecting agents to Slack, GitHub, and Gmail 🧠 Best practices for production-ready agent integrations Watch the recording 👇 https://lnkd.in/g8KSiXd2

🚨 Happening this Thursday If you’re building AI agents that need to connect to real-world tools- this is for you. This Thursday, we’re going live with Inkeep + Composio to show how you can give AI agents access to 10,000+ tools without maintaining brittle, one-off connections. 🗓 Feb 26 ⏰ 10:00 AM PST 💬 RSVP in the comments What you’ll learn: • How Inkeep’s AI agent framework handles tool use and agentic workflows • Why integrations are critical for production-grade AI agents • How Composio’s MCP servers unlock 10,000+ tools out of the box • Live demo: connecting agents to Slack, GitHub, and Gmail • Best practices for auth, testing, and deploying agent integrations in production Speakers: 🎤 Omar Gonzalez — Founding Engineer, Inkeep 🎤 Jayesh Sharma — AI Engineer, Composio 🎤 Gaurav Varma — DevEx Engineer, Inkeep (Moderator) If you're serious about shipping real-world agents- don’t miss this. 👇 RSVP in the comments

🌟 Excited to see Descope's Docs MCP Server live! AI-powered IDEs are quickly becoming the default way developers build. Making product knowledge directly accessible inside those workflows is a big step forward, which is why we built an MCP of our own to help you 'vibe code' agents using our agents SDK (link in the comments). We’re proud that Inkeep is powering key under-the-hood components of Descope's MCP server with semantic search and RAG. Congrats to the Descope team on the launch 👏

We think "Agent Engineer" is becoming a real role. After hundreds of hours building AI agents, we've condensed what we've learned into a new guide: • How to structure prompts that actually work • Troubleshooting when agents fail • Coordinating multiple specialists Not theory. Battle-tested techniques. Link in the comments below.

Excited to be presenting tomorrow at Auth0's CampAI night! I'll be sharing a live demo and keynote on how teams can build Agents that use MCP tools on the Inkeep platform. Thank you to Shreya Gupta and Eli Rabek for organizing this. Link to sign up in the comments 👇️ 👇️ 👇️