AI · alternatives · 2026
24 alternatives to KageOps – An open-source, local-first alternative to Devin
Open-source autonomous AI dev team: Sensei orchestrates specialist agents from idea to shipped product. The engine behind KageOps. - hmanoor/kageops-core
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.
- 1
Opengeni▲341Ship AI agents within minutes. Infrastructure for Agents
Sep 2026 · opengeni.ai · its alternatives →
- 2
InsForge▲622We built InsForge because we wanted to use pure prompts to build a production-grade app faster. In practice, AI isn’t reliable enough when generating code or configuring backend pieces like schema, RLS, auth, or functions. Postgres MCP and Supabase MCP are a good starting point, but they felt more like API wrappers for agents than something designed to guide AI safely through backend tasks. So we built our own MCP server on top of Postgres and added a set of context-engineering tools to make prompt-driven workflows more predictable. It gradually turned into a Postgres-based BaaS. Key…
Mar 2026 · insforge.dev · its alternatives →
- 3
- 4
- 5
Terraform-style source-of-truth layer for AI agents: HCL specs, LangGraph codegen, and plan/apply/state for hosted agents. - weirdGuy/kastor
Jul 2026 · github.com · its alternatives →
- 6
Cognitorafree▲86Built a multi-agent research system with OpenAI Agents SDK where specialized AI agents collaborate autonomously: Master Orchestrator → Data Analyst → Statistician → Report Writer Each agent has specific expertise. The orchestrator delegates tasks. All agents can execute code securely to solve problems. Example workflow: "Analyze e-commerce data" - Data Analyst: writes Python to load/clean data, spots trends - Statistician: performs significance tests, calculates growth rates - Report Writer: synthesizes findings into executive summary This demonstrates OpenAI Agents SDK's handoff system…
2025 · cognitora.dev · its alternatives →
- 7
We recently open-sourced Hive after using it internally to support real production workflows tied to contracts totaling over $500k. Instead of manually wiring workflows or building brittle automations, Hive is designed to let developers define a goal in natural language and generate an initial agent that can execute real tasks. Today, Hive supports goal-driven agent generation, multi-agent coordination, and production-oriented execution with observability and guardrails. We are actively building toward a system that can capture failure context, evolve agent logic, and continuously improve…
Feb 2026 · github.com · its alternatives →
- 8
Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem shifted from "how do I build agents" to "how do I manage them." Deployment, monitoring, team isolation, figuring out which agent broke what at 3am. Classic orchestration problem. So I built klaw, modeled on Kubernetes: Clusters — isolated environments per org/project Namespaces — team-level…
Feb 2026 · github.com · its alternatives →
- 9
Zero-config hosting to launch specialized AI teams instantly
Feb 2026 · yourclaw.cloud · its alternatives →
- 10
Multi-agent orchestration framework with 94% lower API costs
2025 · github.com · its alternatives →
- 11CT
Hey , So I’ve been working on a platform called Kage that helps developers sell, secure, and scale their self-hosted software. Self-hosted products are powerful, but getting paid for them, while keeping deployments secure and compliant, is a challenge. With Kage, you can: - Sell: Automatic licensing, renewals, and usage-based billing. - Secure: Prevent unauthorized use, even for enterprise deployments. - Scale: AI-powered deployment that lets customers get started with one click. I built Kage because I saw too many developers struggle to capture the value of their work. I'd love your…
2025 · kagehq.com · its alternatives →
- 12
Hi HN. I've been running AI coding agents (Claude Code, Codex, etc.) on real repos for a while now. The dirty secret of "autonomous coding" is that agents stop all the time — quota limits, test failures, policy violations, bad judgement calls. You end up babysitting them. So I asked a different question: what if the system was designed around the assumption that agents WILL fail, and the job of the infrastructure is to never let that failure become a dead end? openTiger is a "non-human-first" orchestration system that runs multiple AI agents in parallel — planner, workers, testers, judge —…
Feb 2026 · github.com · its alternatives →
- 13
Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io · its alternatives →
- 14
- 15
- 16
- 17KA
2019 · ki-labs.com · its alternatives →
- 18
Your agents. Your servers. Your keys. Your model.
May 2026 · platos.dev · its alternatives →
- 19
Open-source AI coworkers that each get a computer of their own: a browser, files and tools, with every action decided before it happens and recorded after. Bring any AG-UI agent. - CopilotKit/OpenBot
Aug 2026 · github.com · its alternatives →
- 20
GitHub: https://github.com/ClioAI/kw-sdk Most AI agent frameworks target code. Write code, run tests, fix errors, repeat. That works because code has a natural verification signal. It works or it doesn't. This SDK treats knowledge work like an engineering problem: Task → Brief → Rubric (hidden from executor) → Work → Verify → Fail? → Retry → Pass → Submit The orchestrator coordinates subagents, web search, code execution, and file I/O. then checks its own work against criteria it can't game (the rubric is generated in a separate call and the executor never sees it…
Feb 2026 · github.com · its alternatives →
- 21
NoInfra▲19Launch hosted AI agents without managing infrastructure.
Jul 2026 · noinfra.ai · its alternatives →
- 22LO
Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…
Jan 2026 · its alternatives →
- 23
Run AI Agents on your cloud infrastructurefree tier▲12Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…
2025 · okteto.com · its alternatives →
- 24
The open-source AIOps and alert management platform - keephq/keep
2023 · github.com · its alternatives →
Also compare
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 →