Alternatives
Products that do what ctxopt does
One context config for Claude Code, Codex, Cursor & more
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We built an open-source library of 125 GTM (go-to-market) skills that plug into AI coding agents like Claude Code, Codex, and Cursor. With these skills an AI agent can automatically: - Find ICP leads from conference speakers, LinkedIn activity, or job boards - Generate personalized cold email sequences - Monitor competitor blogs, pricing pages, and hiring signals - Generate programmatic SEO pages from keyword lists - Track where your brand appears in ChatGPT, Perplexity, and Claude answers --- How skills work Each skill is a structured markdown file containing instructions, scripts, and tool…
Mar 2026 · github.com
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One coding agent orchestrator UI for Claude and Codex, but actually feels nice. Free, open-source, MIT licensed. Why I built it: - I wanted a lightweight UI as nice as the Codex app, but without the complexity and the custom diffs on the side - I want files and diffs open straight in my editor! - And I wanted both agents - Anthropic + OpenAI — in one place How it works: - No API keys, no OAuth, no separate billing — it just uses whatever you're already logged into. So your Claude Max and ChatGPT/Codex subscriptions both work out of the box. - Talks to Claude Code via the Claude Agent…
Apr 2026 · github.com
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Multi Agent Continuous Context Harness - MACCHA solves the problem that every AI coding session starts from zero. It combines a file-based 7-tier context architecture with a working memory engine (Memanto) that features vector embeddings, confidence decay, and semantic conflict detection — so Antigravity, OpenCode, and Claude Code all share the same persistent, self-improving brain. No 24/7 daemon needed.
Jun 2026 · github.com
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I got frustrated watching Claude Code fail at using modern APIs (ask it about GPT-5 and it says it doesn't exist). Existing solutions like Context7 dump thousands of tokens of irrelevant docs into context. So I built DeepCon. How it works: - Crawled 10,000+ official docs using agentic browser automation and structured them hierarchically - Query decomposer breaks down requests, searches in parallel, then merges only relevant context - Returns just what's needed: 2.4x fewer tokens than Context7 Results on our benchmark: DeepCon achieved 90% accuracy vs Context7's 65% on real-world tasks with…
Nov 2025 · deepcon.ai
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Hi HN, I'm Rob. Contextify indexes every Claude Code and Codex session on your machine into one local, searchable database. The current session, in either tool, can search all of it: /total-recall in Claude Code, $total-recall in Codex. Demo: https://www.youtube.com/watch?v=FvrvRGp4C9M | Mac app: https://contextify.sh (App Store or DMG) | Linux: CLI with a one-line installer, same search. No signup. I split my work between Claude Code and Codex. When I burn through rate limits on one, I switch to the other, and new models keep leapfrogging each other, so the…
Jul 2026 · contextify.sh
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Hi HN, AgentBox is an SDK for running coding agents (Claude Code, Codex, OpenCode) inside sandboxes (Docker, E2B, Modal, Daytona, Vercel). One API. Swap the agent or the sandbox and your code doesn't change. Think of it as what the AI SDK did for LLMs, but for agent + runtime. Most wrappers call agents in non interactive mode (claude --print, codex exec). AgentBox instead boots each agent's native server inside the sandbox (Codex app-server over JSON-RPC, OpenCode serve over HTTP/SSE, Claude Code's SDK WebSocket transport) and drives it from the host, behaving like an interactive…
Apr 2026 · github.com
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I've been running Claude Code and Codex together every day. At some point I figured out you can use tmux to let them talk to each other, so I started doing that. Once they could coordinate, I kept adding more agents. Before long I had a whole team working together. But any time I rebooted my machine, the whole thing was gone. Not just the tabs. The way they were wired up, what each one was doing, all of it. Nothing I'd found treats your agent setup as a topology, as something with a shape you can save and bring back. So I built OpenRig, a multi-agent harness. A harness wraps a model. A "rig"…
Apr 2026 · github.com
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Recently I've been running more and more agents in parallel however I noticed that they have no task context of what the other agents are doing even when a lot of work is interconnected It's like taking Slack away from a team. Agents duplicate work, make conflicting changes, and step on each others' toes simply because they can't talk to each other. Concord is an MCP + CLI that lets coding agents claim work, see what other agents are doing, and message each other live.
10d ago · github.com
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