Together Link

Use open models in your harness

Developer ToolsArtificial IntelligenceOpen Source

▲ 0 votes1 commentsLaunched Oct 9, 2026

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Weekly #158

Together Link connects coding agents to open models on Together AI, letting developers keep their existing tools and workflows while reducing model costs.

AI Analysis

📝 Summary

Together Link connects coding agents to open models on Together AI. Core features include seamless integration with existing developer tools and workflows, support for cost-effective open-source models, and compatibility with popular coding agents. It solves key pain points like high inference costs of proprietary models (e.g. GPT) and integration friction for open models. USP is maintaining current harnesses while slashing expenses without workflow disruption. Overall value proposition: affordable, high-performance AI for coding tasks via optimized open model access.

📈 Market Timing

In 2025-2026, AI coding agents and open-source models (Llama, Mistral) are maturing rapidly amid rising demand for cost-efficient AI infrastructure. Economic pressures favor reducing cloud AI spend while agentic workflows proliferate. Policy support for open AI and developer productivity tools aligns well. This is an opportune time as alternatives to expensive closed models gain traction. Excellent Timing.

✅ Feasibility

Technical difficulty is medium as it primarily requires API connectors and compatibility layers, leveraging Together AI's existing infrastructure. Development and operation costs are moderate for a SaaS integration tool. Low supply chain risks, minimal compliance issues for developer tooling, strong scalability in cloud environment. Team with AI/devops experience would fit well. Overall rating: High.

🎯 Target Market

Primary users: AI engineers, software developers, and teams building with coding agents (e.g. in Cursor, Aider, or custom harnesses). Demographics: tech professionals aged 25-40. Industries: software development, AI startups, enterprise tech. Geographic focus: US, Europe, global remote devs. TAM for AI dev tools ~$15B, SAM (open model routing) ~$3B, SOM ~$200M. Core pain: escalating model costs. High willingness to pay for direct cost savings (subscription or usage-based).

⚔️ Competition

Competition level: Medium. Direct competitors: 1. OpenRouter (openrouter.ai), 2. LiteLLM (litellm.ai), 3. Fireworks.ai, 4. Groq Cloud (groq.com), 5. Portkey (portkey.ai). Advantages: tight integration with Together AI open models optimized for coding agents, preserves exact user harness/workflows for minimal friction, strong cost reduction focus. Disadvantages: narrower model selection than aggregators, potential dependency on Together AI uptime/performance, less brand recognition than broader platforms.

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