Claude-Code

Three hours into a refactor session, Claude Code had rewritten half my project. It felt productive. And it also felt like watching money leave my account through a window I couldn’t see through. But the terminal kept churning out files, running tests, calling tools — ask me what that session actually cost, or which of those changes were even verified, and I’d have shrugged. That’s the exact gap agentacct (537 stars in its first week, MIT, Python) is built to close: a local-first dashboard that joins your agent’s token bill to its work log, on one screen, on your machine. ...

Ever spent a full afternoon debugging a data pipeline, only to fire up Claude Code the next morning and watch it ask the same questions you answered yesterday? Yeah, me too. But your coding agent treats every fresh claude command like its first day on the job — zero context, zero memory, zero clue about the fix you spent three hours finding yesterday. I’ve tried a few solutions. But vector databases are overkill for what should be a simple problem. And Docker-based memory stacks add complexity when all I want is my agent to remember the bug I fixed at 4 PM. ...

Ever had a Claude Code session debug a gnarly JWT rotation bug, then three weeks later watch your new Codex agent wrestle the same issue from scratch? Yeah, me too. So I run three coding agents across eight projects. That’s months of conversation logs — design decisions, debugging rabbit holes, configuration gotchas. All sitting on my disk in format-specific JSONL files I couldn’t search. Honestly, every new agent session felt like I was hiring a dev who’d never seen the codebase. The short version: Deja-vu is a single Go binary that reads every session log Claude Code, Codex, opencode, aider, Gemini CLI, Cursor, Antigravity, and Grok Build ever wrote — and gives you instant search plus MCP recall over the whole thing. But no database, no daemon, no service to run. Yet it works retroactively on months of logs from before you installed it. So I’ve been running it for a week. Now here’s what I found. ...

Ever asked Claude Code to build a landing page and got the same purple-to-pink gradient hero, the same centred-everything layout, the same icon-tile feature cards with a fake Trustpilot rating underneath? Yeah, me too. Every LLM has a default design vocabulary. It’s aggressively boring. But Hallmark — a design skill by Nutlope (the same person behind screenshot-to-code, now under Together AI) — refuses to ship that. It sits inside Claude Code, Cursor, and Codex with 57 slop-test gates, a pre-emit self-critique, and twenty design themes that genuinely look different from each other. 11,568 GitHub stars and 3,372 stars in a single day says the community agrees this is a real problem. ...

Here’s a problem I run into constantly: my AI coding assistant has zero memory of what I worked on last week. But every session starts fresh. And I keep dumping the same files into context, re-explain the same architecture, and burn tokens asking questions the agent answered yesterday. Graphify solves that in a way I hadn’t seen before. It’s a skill for Claude Code (and many other AI coding tools) that reads a directory — code, docs, PDFs, even screenshots — builds a persistent knowledge graph from it, and lets you query that graph weeks later without re-reading the raw files. It’s sitting at around 2.3k stars on GitHub right now. 71.5x fewer tokens per query on a mixed corpus of code + papers. That’s not a marketing number — that’s their benchmark against Karpathy’s repos with actual output files to verify. ...

Ever opened your Claude Code or Cursor bill and thought, “I know I spent this much, but I have zero idea on what”? Yeah, same here. Month after month, a single number — $X,XXX.XX — with zero breakdown. Which model burned the most? Which project ran up the bill? That dumb conversation I left running overnight? CodeBurn (8,428 ★, MIT) is a local-first CLI that reads your existing session files and breaks down every token and dollar by task, model, tool, and project across 31 AI coding tools. And it runs with a single command — no install, no config, no data leaving your machine. ...

Ever had your Claude Code produce a killer analysis, scroll past it three messages later, and realize you can’t find it again without dumping the whole terminal history? Yeah, me too. I’ve been running coding agents for months now — OpenCode, Claude Code, Goose — and the single biggest pain point isn’t the quality of their work. It’s that their work lives in a chat scrollback that evaporates the second your session ends. ...

Ever spent half a session re-teaching your AI agent how to reach the prod DB, where the credentials live, and the exact deploy command — only to have it forget everything the moment you close the terminal? Yeah, me too. I’ve been running Claude Code and Cursor daily for months now. And the single biggest frustration isn’t the code quality. It’s that every session starts from zero. The hard-won knowledge from debugging that flaky CI job or discovering the one weird config quirk that breaks staging — poof, gone when the session ends. ...

Ever spent half a session re-teaching your AI agent how to reach the prod DB, where the credentials live, and the exact deploy command — only to have it forget everything the moment you close the terminal? Yeah, me too. I’ve been running Claude Code and Cursor daily for months now. And the single biggest frustration isn’t the code quality. It’s that every session starts from zero. The hard-won knowledge from debugging that flaky CI job or discovering the one weird config quirk that breaks staging — poof, gone when the session ends. ...

Your AI coding agent can refactor your entire codebase in one shot. But ask it “what’s the latest Rust AI framework released this month” and you get a hallucinated answer or “I don’t have internet access.” If you’ve been on r/LocalLLaMA lately, you know this is the single biggest gap in agent workflows right now. Here’s the thing: browser-search by Johell1NS is a skill suite that plugs into Claude Code, Codex, OpenCode, or any major coding agent and gives it real web search and page-reading abilities. Self-hosted. Zero API fees. No data leaving your infrastructure. ...