Kayba
Make your agents self‑improve from experience
Kayba launched on March 13, 2026 with 17 votes, #931 of 23,380 launches that month and more than 95% of that year's launches.
What it does
Your agents make the same mistakes every run and never learns from them. Kayba analyzes your agent's past execution traces, finds what's failing, and extracts actionable insights. Point your coding agent (Claude Code, Codex) at the results and it implements and deploys the fixes directly to your code. Run again, feed new traces, repeat. Every cycle your agent gets more reliable. We measured 2x improvement in agent consistency on real-world enterprise tasks.
Kayba makes AI agents self-improve from experience. It learns from your agent's execution traces to detect failures and recursively make your agent better.
Something's off... so you dig through traces, prompt Claude Code, ship a fix, and hope. Kayba runs that loop for you, and tracks how every fix performs. An error shows up in PostHog, Sentry, wherever. Kayba reads the trace, the bug report, and your agent code, proposes a fix, scores how likely it is to actually help, and tracks how it performs after it ships. When a tool call timed out, the agent stopped the whole run instead of retrying. Kayba 's patch retries the call and adds a test so the fix sticks. Confidence it improves the agent: 0.84 . Connect Kayba once. After that, every error gets investigated, fixed, scored, and tracked over time. Point Kayba at wherever your traces and errors…from kayba.ai
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ReplicasJun 2026 · replicas.dev · ▲239Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…
Agent-of-empires: OpenCode and Claude Code session managerJan 2026 · github.com · ▲118Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…
AgentGridJul 2026 · agentgrid.sh · ▲77Hi HN, I’m Michael, I built AgentGrid with my friend Souren because we were tired of losing our coding sessions and couldn't keep track of what was actually being built across our many projects. Our approach was to use an infinite canvas desktop app for the TUIs we already know and love, mainly claude + codex. We drew inspiration from Figma and Railway. Overtime we added image nodes, notes, terminals, coding editors, source control, etc. I wasn't sure about it at first. It took me a month to give the first version Souren built a real try. What got me was an Apple System Update I've been…
20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-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…
AetherJul 2026 · runaether.dev · ▲26Since coding agents like Claude Code and Codex came out, I've been pretty obsessed with them. It's hard not to when you're getting a 20x discount on inference. I've also been frustrated by them a lot. I hated walking around with my laptop lid open while connected to a hotspot on my phone, having to tediously accept commands so I don't lose my root directory, and running out of RAM when running multiple agents that were spinning up dev servers in different worktrees at once. A lot of people would say existing cloud agents are the solution to this, as none of the above problems apply to any…
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