AI · alternatives · 2026
24 alternatives to LangAlpha – what if Claude Code was built for Wall Street?
Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
LangAlpha is an AI coding assistant designed for financial analysis and research. It addresses limitations of standard AI agents when working with financial data at scale by auto-generating typed Python modules from… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1Agent 37▲401
Hey HN, I noticed there are 1,000+ MCP skills on GitHub with zero way for creators to charge for them. So I built Agent37. Selling Claude skills today means asking customers to download your skill, set up Claude Code on their laptops, configure MCP servers, and pray it works. No trial, no updates, often you're just handing over the source. Agent37 lets creators upload a skill, share a link, and anyone can try it instantly (no Claude account needed). Built-in Stripe, creators keep 80%. Looking for feedback on the approach. Would you use something like this?
Mar 2026 · agent37.com · its alternatives →
- 2
Claude Opus 4.7 is Anthropic's most capable generally available model, released April 16, 2026. It outperforms Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on key benchmarks including agentic coding, multidisciplinary reasoning, scaled tool use, and agentic computer use. It is benchmarked below Claude Mythos Preview — which remains restricted to Project Glasswing partners. https://vucense.com/ai-intelligence/ai-tools/claude-opus-4-7...
2025 · anthropic.com · its alternatives →
- 3
See what your Claude Code sessions actually cost
Jul 2026 · langwatch.ai · its alternatives →
- 4IQ
Quick background: I used to code. Studied it in school, wrote some projects, but eventually convinced myself I wasn't cut out for it. Too slow, too many bugs, imposter syndrome — the usual story. So I pivoted, ended up as an investment associate at an early-stage angel fund, and haven't written real code in years. Fast forward to now. I'm a Buffett nerd — big believer in compound interest as a mental model for life. I run compound interest calculations constantly. Not because I need to, but because watching numbers grow over 30-40 years keeps me patient when markets get wild. It's basically…
Jan 2026 · calquio.com · its alternatives →
- 5
I got tired of playwright-mcp eating through Claude's 200K token limit, so I built this using the new Claude Skills system. Built it with Claude Code itself. Instead of sending accessibility tree snapshots on every action, Claude just writes Playwright code and runs it. You get back screenshots and console output. That's it. 314 lines of instructions vs a persistent MCP server. Full API docs only load if Claude needs them. Same browser automation, way less overhead. Works as a Claude Code plugin or manual install. Token limit issue:…
2025 · github.com · its alternatives →
- 6
We just released an MCP server that lets Claude (or any MCP client) pull real-time and historical financial data: equities, options chains, crypto, FX, commodities, fundamentals, economic indicators, and 50+ technical signals. You can ask things like: “Plot NVDA’s RSI vs AMD’s over the past year.” “Show the yield curve shift since 2020.” “What are Apple’s recent earnings surprise trends? “Make a 3-statement model for ORCL.” Claude runs the requests, does the math, and returns the data or generates charts/models all inside the chat. Setup takes about a minute. You’ll need Claude Pro…
Nov 2025 · mcp.alphavantage.co · its alternatives →
- 7
AI Browser▲143Hey HN! I built Browser AI after getting frustrated with the official Playwright MCP server in Claude Code. If you've used it, you know the pain: - 20+ separate tools that Claude has to juggle (click, fill, navigate, wait_for_selector, etc.) - Context window explosions from verbose screenshot data and DOM snapshots - Constant tool selection errors where Claude picks the wrong tool or forgets parameters Browser AI wraps Playwright MCP with a single natural language interface. Instead of Claude managing dozens of tools, you get one: browser_ai.execute. Just tell it what you want in plain…
Nov 2025 · aibrowser.surf · its alternatives →
- 8
Hi all! I normally work on the PyTorch project but I've been on baby leave for the past month, so I've been playing around with AI as a user rather than a framework implementor. I really liked the agent experience with Claude Code, but I couldn't really justify spending so many dollars on API costs for random side projects. I already pay for a Claude Pro subscription though, and it turns out you can simulate many of Claude Code's features with an MCP. If you have a Pro subscription, check this out! I think it really captures the Claude Code experience quite well, without forcing you to pay…
2025 · github.com · its alternatives →
- 9
2025 · github.com · its alternatives →
- 10
Context Gateway▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…
Mar 2026 · github.com · its alternatives →
- 11
Every MCP tool call dumps raw data into Claude Code's 200K context window. A Playwright snapshot costs 56 KB, 20 GitHub issues cost 59 KB. After 30 minutes, 40% of your context is gone. I built an MCP server that sits between Claude Code and these outputs. It processes them in sandboxes and only returns summaries. 315 KB becomes 5.4 KB. It supports 10 language runtimes, SQLite FTS5 with BM25 ranking for search, and batch execution. Session time before slowdown goes from ~30 min to ~3 hours. MIT licensed, single command install: /plugin marketplace add mksglu/claude-context-mode…
Feb 2026 · github.com · its alternatives →
- 12
delegare▲70Hi guys, am building SecureLend.ai and when working on our underwriting agents (free trial, paid after) I had issues with seamless payment options. Of course I looked at x402 which I believe is a great protocol but not a fan of a) sharing private keys with the agent b) having a human in the loop or c) similar workaround e.g. pre-funded wallets So I started building out a solution. For my use case it was important to not only have stablecoins but also a fiat rail which is now implemented using Stripe. Initially I build a mandate system internally but am very glad and big shoutout to the guys…
Apr 2026 · delegare.dev · its alternatives →
- 13AP
One memory, not one per tool. Cog gives AI agents a shared, structured memory layer using plain-text files — portable across Claude Code, Codex, Cursor, Gemini CLI, Windsurf, Copilot, and more.
Mar 2026 · lab.puga.com.br · its alternatives →
- 14
Built this after realizing I was spending ~$1400/week on Claude Code with almost no visibility into what was actually consuming tokens. Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level. CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved). One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was…
Apr 2026 · github.com · its alternatives →
- 15
Give your agent tools to create beautiful, codebase-aware UI
Apr 2026 · aidesigner.ai · its alternatives →
- 16
Your AI agent is burning 6x more tokens than it needs to just to browse the web. We built OpenBrowser MCP to fix that. Most browser MCPs give the LLM dozens of tools: click, scroll, type, extract, navigate. Each call dumps the entire page accessibility tree into the context window. One Wikipedia page? 124K+ tokens. Every. Single. Call. OpenBrowser works differently. It exposes one tool. Your agent writes Python code, and OpenBrowser executes it in a persistent runtime with full browser access. The agent controls what comes back. No bloated page dumps. No wasted tokens. Just the data your…
Apr 2026 · openbrowser.me · its alternatives →
- 17
Invest in algo-driven, automatically rebalanced portfolios built by quants. Congressional trades, AI stocks, leveraged strategies and more. Start with $50.
2021 · getquantbase.com · its alternatives →
- 18
Claude Code is amazing for individuals but terrible for teams. I spent the last six months building my perfect mix of MCP servers, subagents, commands and skills. Claude Code writes 100% of the code now, but sharing this with my team? Painful. 1. Blog posts and workshops don't work (and don't scale) 2. Committing tools to N repos means N PRs. A tool changes? N more PRs. 3. Same tools, different files or folders for each AI assistant; not everyone uses Claude Code It is like 1999 all over again; FTPing files up to prod and versioning with ".bak" suffixes. So I built sx. It is your team's…
May 2026 · github.com · its alternatives →
- 19
Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…
Jan 2026 · github.com · its alternatives →
- 20
Vexp▲14I built vexp because AI coding agents have two expensive problems: they waste tokens reading irrelevant code, and they forget everything between sessions. The token problem: agents read entire files linearly to build context. On a medium TypeScript project, a single query was consuming ~18k tokens — most of it irrelevant. vexp builds a dependency graph from the AST (who calls what, who imports what, what types flow where) and serves only the relevant subgraph as a token-budgeted capsule. ~2.4k tokens instead of ~18k, with better response quality because the context is precise. The memory…
Mar 2026 · vexp.dev · its alternatives →
- 21
Fensory▲20Turn Claude or ChatGPT into your personal trading desk
Sep 2026 · fensory.com · its alternatives →
- 22
Over the holidays, I started hacking together a CLI to translate my app, Midday. Now, it’s ready for you to use and start translating your app in seconds! I’d love to hear your thoughts!
2024 · languine.ai · its alternatives →
- 23
Hi, my name is Kam, and today my cofounder Josh and I are shipping Finterm, a CLI that gives coding agents direct access to financial data: stock prices, options data, SEC filings, and Ticker Deep Research, a filtered ticker news search. I’m a developer and have been a full-time trader for the past few years.Recently I have been using LLMs more and more in my trading and strategy. I always found it frustrating that Claude Code or GPT did not have direct access to actual financial information and had to rely on web search, so it couldn’t get me more granular numbers for specific options…
Jul 2026 · finterm.ai · its alternatives →
- 24
A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents. Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my…
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →