Based on social mentions, CrewAI Studio seems to be appreciated for its innovative approach to managing AI agents that handle engineering tasks, as highlighted by a user employing a system of Claude agents in production. The tool appears to be unique in providing end-to-end solutions across various specialized roles such as project management and operations. However, information on user complaints or pricing sentiment is not evident from the available mentions. Overall, the software holds a positive reputation, particularly among users who leverage AI to streamline complex workflows.
Mentions (30d)
1
Reviews
0
Platforms
2
Sentiment
0%
0 positive
Based on social mentions, CrewAI Studio seems to be appreciated for its innovative approach to managing AI agents that handle engineering tasks, as highlighted by a user employing a system of Claude agents in production. The tool appears to be unique in providing end-to-end solutions across various specialized roles such as project management and operations. However, information on user complaints or pricing sentiment is not evident from the available mentions. Overall, the software holds a positive reputation, particularly among users who leverage AI to streamline complex workflows.
Features
Use Cases
Industry
information technology & services
Employees
59
Funding Stage
Merger / Acquisition
Total Funding
$12.5M
Pricing found: $0.50/execution, $0.50/execution
I run a team of Claude agents that ships PRs to production — open source
I've been running a multi-agent system in production for a few months — a co-CTO agent + specialist agents (PM, dev, ops) that handle real engineering work end-to-end: design specs, code review, PR implementation, deploys, monitoring. The architecture: Each agent is a Docker container running claude -p (with optional Codex fallback) wrapped in .NET 10. A central orchestrator coordinates them via Temporal workflows + RabbitMQ. Agents talk to me over Telegram (DMs + group chat for the whole team). Memory is Qdrant + Ollama embeddings — agents recall past decisions across sessions. A web dashboard shows live agent status and in-flight workflows. What it does day-to-day: I drop a one-line request in Telegram. PM writes the spec, two reviewers run consensus, dev implements the PR, CI ships to staging, PM verifies, I approve the merge gate, prod deploy. Same pattern handles infra: deploy verifications, health checks, daily digests, incident triage. Agents have access to fleet-memory (semantic memory MCP) — they search before acting, write learnings after. 5-min demo of an actual production PR being shipped: https://youtu.be/DIx7Y3GfmGc Why I built it instead of using crewai/autogen/langgraph: I wanted Temporal-backed durability (workflows survive restarts, retries are deterministic) and ops-grade observability (every workflow visible in the temporal UI, every signal auditable). The agents themselves are just claude -p — the magic is in the orchestration layer. Open source: https://github.com/anurmatov/phleet Side note for those who recognize me — this runs on the Mac Studio I documented in mac-studio-server. The dogfooding is real. Happy to dig into prompts, system architecture, memory strategy, or how the agents handle PR reviews — AMA. submitted by /u/_ggsa [link] [comments]
View originalYes, CrewAI Studio offers a free tier. Pricing found: $0.50/execution, $0.50/execution
Key features include: Trusted, Scalable, Loved by AI builders, Trusted by AI leaders.
CrewAI Studio is commonly used for: Automating customer support with AI agents, Managing social media content scheduling and posting, Conducting data analysis and reporting, Streamlining project management tasks, Generating personalized marketing campaigns, Facilitating employee onboarding processes.
CrewAI Studio integrates with: Slack, Zapier, Salesforce, Google Workspace, Microsoft Teams, Trello, Jira, Asana, Shopify, Mailchimp.
