Building Automated Customer Research Agents with Open-Source Models
PrajwalTomar_ · x · 2026-07-17
The author shares their experience using the Hyperagent framework combined with open-source models like Kimi K2.6 to successfully build an automated customer research agent.
- Workflow: Simply drop a target company link into Slack, and the agent automatically opens a browser to scrape information, generating a comprehensive briefing page before the call.
- Briefing Content: Includes funding timelines, business pain points, 5 communication questions, and potential risk warnings.
- Model Choice: Open-source models like GLM 5.2, DeepSeek V4, Kimi K2.6, and Qwen 3.7 can now be directly invoked alongside frontier closed-source models within this framework.
Related event: Hyperagent Enables Automated Research Agents with Open-Source Models(3 posts)→
More from coding & agent
- Building a Secure AI Agent Gateway: Self-Hosting OAuth for Multiple SaaS Apps — Defiant_Cod_2654 · 2026-07-22
- Rowboat launches as an open-source, local-first AI coworker with memory — ycombinator · 2026-07-22
- Scoble says AI “loops” really means long-running multi-agent workspaces — Scobleizer · 2026-07-22
- Kimi Code opens a waitlist as Moonshot rolls out its coding product — Fabulous_Bonus_8981 · 2026-07-22
- Open-source runtime lets each repo define its own AI code reviewer — ibabufrik · 2026-07-22
- Indie Dev Asks: What's Actually Broken in Your AI Agent's Memory Today? — AcceptableTime7937 · 2026-07-22