Alternatives
Products that do what Inflexa – open-source Intelligence for Biology does
Hey HN! Inflexa is an OSS-first TUI for agentic-AI reproducible biological analysis with provenance tracked on every step. It's a better designed Claude Science (bar the GUI for now). Before this, we spent years building a cloud multi-omics analysis platform, working alongside research teams in pharma, biotech, and academia. Our vision is as follows: - OSS first - Data privacy, and security are of utmost importance - Agents are untrusted actors Agentic products do not solve a core architectural and design problem: provenance. How do you build up the body of evidence to support your claims…
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Hello HN! The day has finally come to stop adding features and start sharing what I've been building the last 5-6 months. It's a bit of CrewAI, OpenDevon, LangFuse/Cloud all in one, providing devs who prefer TypeScript an integrated framework thats provides a lot out of the box to start experimenting and building agents with. It started after peeking at the LangChain docs a few times and never liking the example code. I began experimenting with automating a simple Jira request from the engineering team to add an index to one of our Google Spanner databases (for context I'm the…
2024 · github.com
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Hi HN, We're the engineering team at Peakflo (B2B fintech). We built 20x internally because we kept copy-pasting Linear tickets into Claude, manually setting up branches, and babysitting agent output across terminals. Eventually we just built the infrastructure to connect task systems to agents directly — and decided to open source it. 20x is an open-source desktop app (macOS only — Linux and Windows on the roadmap) that orchestrates AI coding agents against your existing task systems. In practice: a Linear ticket gets pulled in → the triage agent assigns Claude Code + relevant skills → a…
Feb 2026 · github.com
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Last month, the SambaNova team, in partnership with Stanford and UC Berkeley, introduced the viral paper Agentic Context Engineering (ACE), a framework for building evolving contexts that enable self-improving language models and agents. Today, the team has released the full ACE implementation, available on GitHub, including the complete system architecture, modular components (Generator, Reflector, Curator), and ready-to-run scripts for both Finance and AppWorld benchmarks. The repository provides everything needed to reproduce results, extend to new domains, and experiment with evolving…
Dec 2025 · github.com
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I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com
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Hey HN! We've just open-sourced Agent, our framework for running computer-use workflows across multiple apps in isolated macOS/Linux sandboxes. After launching Computer a few weeks ago, we realized many of you wanted to run complex workflows that span multiple applications. Agent builds on Computer to make this possible. It works with local Ollama models (if you're privacy-minded) or cloud providers like OpenAI, Anthropic, and others. Why we built this: We kept hitting the same problems when building multi-app AI agents - they'd break in unpredictable ways, work inconsistently across…
2025 · 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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We love Instinct, but have been increasingly worried about the data footprint we are handing over to them, and what they might do with that data. So we built an oss self-hostable version. It includes a vault that can store cards, logins, and personal information, so it can execute complex tasks on your behalf, like: "Get me two tickets to the odyssey on saturday at my nearest theatre" "Find me the best golf grip trainer and order it for me" "Read my email and find opportunities to save money by cancelling subscriptions I don't use" The tech stack: - Eve agent framework for durable agent runs…
8d ago · github.com
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Three months ago, we started developing an open source agent framework. We previously tried existing frameworks in our enterprise product but faced challenges in certain areas. Problems we experienced: * We risked our stateless architecture when we wanted to add an agented feature to our existing system. Current frameworks lack server-client architecture, requiring significant effort to maintain statelessness when adding an agent framework to your application. * Scaling problem - needed to write Docker configurations as existing frameworks lack official Docker support. Each agent in my…
2025 · github.com
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Hi HN, I'm excited to share some early tinkering on a project, autospec, an open-source QA agent for web applications. Right now it's not fully packaged for use, but I wanted to get the idea out early and am looking for design feedback, suggestions, and open source collaborators to join in. I wrote it over memorial weekend :) autospec uses vision and text language models to explore and generate commonsense e2e tests for web applications. The goal is human-like evaluation: assessing the entire UI as a user would, making decisions based on the actual state of the application at each step, with…
2024 · github.com
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Hi HN, I made tui observerbility tool for ai agents. Once subagents start spawning other subagents, basic questions get hard to answer: what is running right now, what tool did it just call, did the child agent actually do what the parent asked. I wanted a way to verify that each agent is doing the work that fits its role, and to spot when a run goes off track. Lazyagent is a terminal TUI that collects events from Claude Code, Codex, and OpenCode and shows them in one place. Also it can show your token usage information about the sessions. Features: Filter events by type: tool calls, user…
Apr 2026 · github.com
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