Founder @rapidclaw | Building AI agent infra | 🔧 Built agent-cost-cli · open-source LLM cost calculator | rapidclaw.dev
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Assessing your cultural and operational fit
RapidClaw (rapidclaw.dev)
Software Engineer
June 21, 2026 – Present
agent-flow
April 19, 2026 – Present
Define, execute, and visualize multi-step AI agent workflows as a DAG. Export to interactive HTML, Mermaid, or JSON.
View Projectagent-bench
April 19, 2026 – Present
Benchmark LLM agents across providers on speed, cost, and quality — with a report card.
View Projectwebhook-agent
April 19, 2026 – Present
Webhook-to-AI-agent bridge: receive webhooks (Stripe/GitHub/forms/...), map events to AI-agent handlers, execute automated responses.
View Projectagent-router
April 19, 2026 – Present
Lightweight multi-agent task router for Python — pluggable intent classification, built-in agents (research/coder/writer/analyst), zero required deps.
View Projectagent-memory
April 19, 2026 – Present
Lightweight persistent memory server for AI agents — vector similarity search over SQLite, with a REST server and a drop-in Python library.
View Projectllm-budget
April 15, 2026 – Present
Per-agent LLM spend tracking and budget enforcement with SQLite
View Projecthermes-starter
April 15, 2026 – Present
One-command Docker Compose quickstart for Nous hermes-agent
View Projectawesome-self-hosted-agents
April 15, 2026 – Present
A curated list of tools, frameworks, and resources for running AI agents fully self-hosted
View Projectagent-cost-cli
April 15, 2026 – Present
CLI tool to calculate LLM API costs for AI agent workloads
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily concentrated on personal projects related to AI agents, primarily using Python. While this demonstrates deep interest and expertise in a specific niche, it also indicates a narrow breadth of technologies and project types. The current role at 'RapidClaw' is listed as 'Software Engineer' but lacks details on responsibilities or technologies, making it hard to assess alignment with a general 'Software Engineer' target role beyond the AI agent domain. The lack of diverse team projects or varied industry experience might suggest a preference for independent work, which could impact cultural fit in highly collaborative environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and independent approach to problem-solving, particularly in the emerging field of AI agents. The consistent theme across projects suggests a focused and dedicated work attitude. However, without psychometric test results or interview data, it is difficult to assess stress handling, team collaboration, or broader operational fit.