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AI · alternatives · 2026

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24 alternatives to A CLI that writes its own integration code

We run superglue, an OSS agentic integration platform. Last week I talked to a founder of another YC startup. She found a use case for our CLI that we hadn't officially launched yet. Her problem: customers wanted to create Opps in Salesforce from inside the chat in her app. We kept seeing this pattern: teams build agents and their users can perfectly describe what they want: "pull these three objects from Salesforce and push to nCino when X condition is true", but translating that into a generalized hard-coded tool the agent can call is a lot of work and does not scale since the logic is…

Superglue is an open-source CLI tool that enables AI agents to dynamically generate integration code at runtime. Instead of requiring developers to manually build and maintain integration tools, users describe what… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Hi HN, we’re Stefan and Adina, and we’re building superglue (https://superglue.cloud). superglue allows you to connect to any API/data source and get the data you want in the format you need. It’s an open-source proxy server which sits between you and your target APIs. Thus, you can easily deploy it into your own infra. If you’re spending a lot of time writing code connecting to weird APIs, fumbling with custom fields in foreign language ERPs, mapping JSONs, extracting data from compressed CSVs sitting on FTP servers, and making sure your integrations don’t break when…

    2025 · github.com · its alternatives →

  2. 2
    Supaglue▲280

    Build native product integrations in hours, not weeks

    2023 · its alternatives →

  3. 3
    Clears▲376

    Move beyond AI coding to Agentic Software Delivery

    Aug 2026 · clears.ai · its alternatives →

  4. 4

    The page you were looking for doesn

    2025 · superglue.ai · its alternatives →

  5. 5
    Superset▲541

    Hey HN, we’re Avi, Kiet, and Satya. We’re building Superset, an open-source terminal made for managing a bunch of coding agents (Claude Code, Codex, etc) in parallel. - Superset makes it easy to spin up git worktrees and automatically setup your environment - Agents and terminal tabs are isolated to worktrees, preventing conflicts - Built-in hooks [0] to notify when your coding agents are done/needs attention, - A diff viewer to review the changes and make PRs quickly We’re three engineers who’ve built and maintained large codebases, and kept wanting to work on as many features in…

    Feb 2026 · superset.sh · its alternatives →

  6. 6

    Build an AI product copilot in an afternoon

    2023 · superflows.ai · its alternatives →

  7. 7
    SuperHQ▲95

    Hey HN, I built SuperHQ, an app that lets you run coding agents in local sandboxes (powered by Shuru). No custom UI wrapping the agents, they run as CLI/TUI like they were designed to. It just provides you the tools most of us (okay, maybe just me?) needed for running multiple coding agents in parallel without worrying about breaking your system or work environment. Each agent runs in its own microVM. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a unified diff view to accept or discard changes. API keys never enter the sandbox, they…

    Apr 2026 · superhq.ai · its alternatives →

  8. 8SO

    Last month, we open-sourced Supaglue (https://github.com/supaglue-labs/supaglue) as a developer toolkit for building customer-facing Salesforce integrations. Since then, we've been iterating on our approach with users and are re-launching Supaglue as an open source unified API, starting with CRMs. With our re-launched public alpha you can: - Interact with HubSpot and Salesforce through a unified REST API - Sync data from HubSpot and Salesforce into a local Postgres cache and make reads against a normalized CRM schema - Make writes (POST and PATCH) to HubSpot and…

    2023 · its alternatives →

  9. 9

    CLI for Google Workspace ecosystem built for humans & agents

    Mar 2026 · github.com · its alternatives →

  10. 10

    The CLI your coding agent uses to ship agents

    Jul 2026 · github.com · its alternatives →

  11. 11

    The power of Codex with local, self-hosted models and voice

    Jul 2026 · opencodesuper.app · its alternatives →

  12. 12

    We spent the past few weeks building Supaglue (https://github.com/supaglue-labs/supaglue) and would like to share an early public alpha version with you. Supaglue is an open source platform to help developers build customer-facing Salesforce integrations into their applications. Use code to define syncs for pulling objects from Salesforce into your application. Embed functional and customizable React components for your customers to configure these syncs. Why? - We built user-facing HubSpot and Salesforce integrations in a previous product we worked on and did not find an…

    2023 · github.com · its alternatives →

  13. 13
    hotglue▲144

    Offer native user-facing SaaS integrations to your customers

    2021 · hotglue.com · its alternatives →

  14. 14

    Hi HN — I built Superexpert.AI, an open‑source platform that lets you spin up multi‑task AI agents in minutes without writing any code (and lets you extend everything later). What it does - Plug‑and‑play agents – Create agents from a web form. Each agent can contain multiple tasks, and each task can run a different AI model, use its own tools, and follow custom instructions. - First‑class extensibility – Register a TypeScript function with registerServerTool, registerClientTool, or registerContextTool to add new functionality. If you want to share it, publish it as an NPM package and…

    2025 · superexpert.ai · its alternatives →

  15. 15

    Hi HN! Stefan here from superglue and today I’d like to share a new benchmark we’ve just open sourced: an Agent-API Benchmark, in which we test how well LLMs handle APIs. We gave LLMs API documentation and asked them to write code that makes actual API calls. Things like "create a Stripe customer" or "send a Slack message". We're not testing if they can use SDKs; we're testing if they can write raw HTTP requests (with proper auth, headers, body formatting) that actually work when executed against real API endpoints and can extract relevant information from that response. tl:dr: LLMs suck at…

    2025 · github.com · its alternatives →

  16. 16

    We 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 →

  17. 17

    AI powered cli coding agent that monitors your dev/test server and fixes errors and adds features - vysakh0/dravid

    2024 · github.com · its alternatives →

  18. 18

    If you've ever worked in a large company, you've probably encountered "shadow infrastructure": scripts nobody understands or custom connectors written once and never touched again. This glue layer isn't documented, isn't owned by anyone, and tends to break when systems are upgraded or someone leaves. It's also the part everybody dreads working on, because it's hard to understand, painful to work with, and full of unknown unknowns. We built superglue so that engineers stop wasting time on deciphering legacy APIs and documentation. superglue ingests existing glue code, SQL, configs, docs,…

    Nov 2025 · superglue.ai · its alternatives →

  19. 19

    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 · its alternatives →

  20. 20

    Our team lives in Slack, but we don’t have access to the Slack MCP and couldn’t find anything out there that worked for us, so we coded our own agent-slack CLI * Can paste in Slack URLs * Token efficient * Zero-config (auto auth if you use Slack Desktop) Auto downloads files/snippets. Also can read Slack canvases as markdown! MIT License

    Feb 2026 · github.com · its alternatives →

  21. 21

    Single-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…

    Feb 2026 · github.com · its alternatives →

  22. 22

    We built HALO (Hierarchal Agent Loop Optimizer), an open-source tool for debugging and optimizing AI agents using their execution traces. It’s a loop. Run your agent, feed the traces to HALO, get the report, apply the fixes, then re-run your agent. HALO takes in OTEL compliant traces from AI agents using tracing frameworks such as Langfuse, Arize/OpenInference, or even just plain JSONL. It uses an RLM (Recursive Language Model) to more efficiently break trace analysis into smaller subproblems in order to find recurring patterns across large amounts of data and fix systemic issues that…

    Jun 2026 · github.com · its alternatives →

  23. 23

    This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…

    Apr 2026 · github.com · its alternatives →

  24. 24

    Henry, Matt and James here – we’re building an open source toolkit that makes it easy to integrate an LLM-powered copilot that talks to your API into software products. It works by calling API endpoints which you choose to expose to it. This lets the chatbot complete tasks within your software in response to natural language queries. It’s also open source, so you don’t have to send user data to another 3rd party. We support Llama 2, but we haven’t fine-tuned Llama 2 yet (coming soon) so highest accuracy is seen with GPT-4 or fine-tuned GPT-3.5 (much faster). We started working together 2…

    2023 · github.com · its alternatives →

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