GitHub repository: llama.cpp by ggerganov
github.com
Alternatives to
Cactus Compute
Best alternatives to Cactus Compute in 2026
Most AI apps send your data to a company's servers to get an answer back, which costs money per request and adds a delay. Cactus flips that: it's a piece of software that runs the AI model directly on your phone or laptop, so the answer comes back in a fraction of a second and nothing about what you asked ever has to leave the device. For an app like a voice assistant or a transcription tool, that means it keeps working offline and stays private by default. Cactus is an open-source (MIT-licensed) inference engine for running LLMs, vision-language models and speech models locally on iOS, Android, macOS and wearables, with intelligent routing that can fall back to the cloud for tasks too heavy for the device. It reports sub-120ms on-device transcription latency and has become a launch partner for Liquid AI's on-device LFM2 model family, alongside Qualcomm and Ollama. Being YC-backed and open source under MIT, it sits in the same practical space vacated by Nexa AI, which was acquired by Qualcomm in 2026 and folded into Qualcomm's own GenieX runtime rather than continuing as an independent product.
Quick comparison of Cactus Compute alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Développeurs | — | |
| 2 | Developers and small-to-mid-size businesses seeking managed AI agent deployment without infrastructure management | — | |
| 3 | Enterprise and mid-market support teams using Freshdesk, Zendesk, Salesforce, or HubSpot; SaaS companies and e-commerce platforms managing high ticket volumes | — | |
| 4 | Développeurs et équipes utilisant des agents de codage IA ayant besoin de contexte factuel sur leur base de code | — | |
| 5 | Développeurs et utilisateurs individuels voulant un assistant IA local, sous leur contrôle total | — | |
| 6 | Chercheurs et ingénieurs en machine learning ayant besoin d'interpréter le comportement interne de leurs modèles | — | |
| 7 | Chercheurs biomédicaux, cliniciens et praticiens de la synthèse de preuves | — | |
| 8 | Équipes coordonnant plusieurs agents IA sur différents outils de collaboration | — | |
| 9 | Chercheurs et utilisateurs souhaitant comparer plusieurs modèles IA ou explorer des idées en branches | — | |
| 10 | Équipes construisant des systèmes multi-agents IA nécessitant traçabilité et persistance | — | |
| 11 | Développeurs et équipes DevOps ayant besoin d'agents IA tournant en autonomie (planifiés, en CI, ou en arrière-plan) | — | |
| 12 | Entreprises et PME qui veulent connecter leurs outils IA (Claude, ChatGPT, Copilot) à leurs bases de données ou systèmes internes sans embaucher de développeur dédié ; développeurs et analystes gérant plusieurs assistants IA. | — |
#1
#2
Managed hosting for persistent AI agent bots — isolated runtime, memory, missions, and integrations (GitHub, Slack, Sentry, MCP) so you can hire an AI worker instead of running your own agent infrastructure.
deploy-hermes.com
- ✓ No server or infrastructure setup required to run persistent AI agents
- ✓ Workspace-level approval and credential controls limit blast radius of autonomous actions
#3
AI agent that resolves support tickets automatically on top of Zendesk, Freshdesk, Salesforce or HubSpot, building its own knowledge base and escalating tricky cases to humans, billed per resolution instead of per seat.
useify.ai
- ✓ Layers on top of Zendesk, Freshdesk, Salesforce or HubSpot without forcing a helpdesk migration
- ✓ Per-resolution pricing avoids paying for idle seats or unused agent licenses
#4
A knowledge-graph memory layer that gives AI coding agents persistent, factual context about your codebase, tickets, and docs — without another hosted service.
oynix.dev
- ✓ Real knowledge graph of ownership and dependencies, not just vector search
- ✓ Self-hosted, data in your own database — no mandatory hosted service
#5
A local-first AI assistant that runs entirely on your machine, remembers context across apps and devices, and only acts with your explicit approval.
github.com
- ✓ Runs entirely on your own machine — no data sent to a third party by default
- ✓ Multi-layer memory (working context, episodic, semantic graph, execution history)
#6
A local-first debugging tool that visualizes what's happening inside an AI model — attention, features, and agent steps — without cloud infrastructure.
github.com
- ✓ Covers language models, VLMs, and robot policies in one tool
- ✓ Attention visualization, SAE feature exploration, and agent-step tracing combined
#7
An open-source agentic RAG system that searches 12 biomedical databases and produces a source-cited synthesis of the evidence.
github.com
- ✓ Searches 12 biomedical databases plus citation networks
- ✓ Citation verification step specifically prevents hallucinated references
#8
An open-source, self-hostable platform for coordinating multiple AI agents across Slack, Discord, GitHub, and other tools in shared conversations.
github.com
- ✓ Coordinates multiple AI agents across Slack, Discord, GitHub, GitLab, Telegram, Lark
- ✓ Provider-agnostic — works with Claude, OpenAI, Grok, DeepSeek, and more
#9
A branching, canvas-based chat interface for comparing responses across Claude, GPT, Gemini, and other LLMs.
llmcanvas.chat
- ✓ Branching canvas avoids losing context in long threads
- ✓ Side-by-side comparison across Claude, GPT, Gemini, OpenRouter models
#10
A local runtime that turns ad-hoc AI subagent delegation into durable, checkpointed, supervised workflows.
github.com
- ✓ Persistent, checkpointed state survives interruptions
- ✓ Provider-neutral — not locked to one AI vendor
#11
An open-source runtime for AI agents that keeps working unattended — on a schedule or in the background — on persistent cloud machines with spending controls.
octomind.run
- ✓ Self-hostable and open source (Apache 2.0)
- ✓ Switch model providers mid-session without lock-in
#12
Platform for building and hosting Model Context Protocol servers that connect AI tools to data sources without DevOps expertise.
mcp-builder.ai
- ✓ Generates a working, production-ready MCP server from a plain English description in minutes
- ✓ Broad connector support: 20+ data source types including PostgreSQL, MySQL, SAP HANA, REST, GraphQL, and S3
FAQ about Cactus Compute alternatives
- What is the best alternative to Cactus Compute in 2026?
- Based on our selection, llama.cpp (GitHub) is the best alternative to Cactus Compute in 2026. GitHub repository: llama.cpp by ggerganov. See our full ranking above to compare all options.
- Is Cactus Compute free?
- Cactus Compute is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to Cactus Compute are there?
- mySelectas has listed 12 alternatives to Cactus Compute in the AI & Machine Learning category. Our selection is updated regularly to include the best options available.