AgentCrew
Open-source framework for building teams of specialized AI agents that collaborate.
A promising open-source framework for developers who want to prototype multi-agent systems with mixed models and tools. The December 2025 beta launch delivers a GUI, CLI, and API, and the free tier is generous. However, it's not production-ready—enterprise features like SSO and RBAC are missing, and the desktop app is still beta. If you need stability now, consider AutoGen or LangChain; if you want a visual playground for agent experimentation, AgentCrew fits.
Verified 14d ago · liveness 68/100 · cite: rightaichoice.com/tools/agentcrew
- Developers prototyping multi-agent systems with mixed AI providers
- Researchers exploring tool-use, memory, and agent orchestration
- Power users automating multi-step coding, research, and document writing
- Educators teaching agent-based AI design patterns
- Non-technical users wanting a one-click chatbot experience
- Enterprise deployments requiring SSO, RBAC, or built-in monitoring
- Teams that need a polished, stable production platform (still in beta)
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Skip AgentCrew if you need a production-ready platform with enterprise security, SSO, or polished support — it's still in beta and lacks those features.
Free plan limits you to 3 agents per crew, which may be restrictive for larger experiments.
AgentCrew's pricing is ideal for indie developers and small teams who want to experiment with multi-agent systems without upfront cost. The free tier offers local runs with any provider, while Pro at $15/mo adds more agents. Compared to AutoGen (free, open-source) AgentCrew adds a GUI and convenience, but for large-scale production you'd pay more with Enterprise custom pricing.
In short
AgentCrew — Open-source framework for building teams of specialized AI agents that collaborate. Best for Developers prototyping multi-agent systems with mixed AI providers, Researchers exploring tool-use, memory, and agent orchestration, Power users automating multi-step coding, research, and document writing. Free to start; paid plans from $15/mo.
What's new in AgentCrew
Checked 6 days agoAcross the latest 2 updates: 1 launch and 1 changelog entry.
AgentCrew Beta Launch
Announced beta launch with desktop GUI, CLI, and A2A HTTP API, open-sourced under Apache 2.0.
ChromaDB Memory and /evolve Command
Added ChromaDB-powered semantic memory with topic-based forgetting and /evolve command to auto-improve agent system prompts.
What people actually say about AgentCrew — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
5 mentions across 2 sources (Hacker News, GitHub) · researched Jul 3, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Multi-model support (OpenAI, Anthropic, Google, local LLMs) in one chat.
- +MCP (Model Context Protocol) for standardized tool integration.
- +Free tier with no credit card required; local offline mode available.
- +Visual workflow editor to chain agents with conditional logic.
- +Custom system prompts and per-agent memory for tailored behavior.
- −No native Gemini API support (base_url missing).
- −Docker image fails due to missing PySide6 dependency.
- −Windows uninstall process is undocumented and unclear.
- −A2A memory persistence requires manual session ID handling.
- −Very little community feedback to assess reliability.
- • No pricing page found — actual Pro/Enterprise costs undisclosed.
- • Local mode likely free but cloud usage may incur API costs from providers.
Viability Score
How well maintained and how widely used is AgentCrew? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Multi-agent chat with role assignment and collaboration
- Multi-model support: OpenAI, Anthropic, Google, DeepInfra, Together AI, OpenCode
- MCP (Model Context Protocol) tool integration
- Built-in tools: browser automation, file editing, code analysis, shell commands, web search, clipboard, voice, memory
- Visual workflow editor for orchestrating agent teams (GUI)
- Terminal CLI mode and headless job runner with structured JSON output for CI/CD
- A2A HTTP server API for integration with external systems
- ChromaDB-powered semantic memory with retrieval, topic-based forget, and behavior learning
- /evolve command to auto-propose system prompt improvements based on memory
- Conversation controls: rollback, fork, consolidate history, resume past sessions
- Safety by default: per-tool approval, rate limiting, path validation, audit logging
- Agent configuration via TOML/JSON with import/export and sharing
- Ready-made agent blueprints: Agent Maker, Deep Research, Document Writer, Software Engineer, HTML & 3D, Presenter
- Open-source under Apache 2.0 license, runs on Python 3.12+
- Desktop GUI and console interface from the same install
About AgentCrew
AgentCrew is an open-source, Apache 2.0-licensed framework for developers and researchers who want to build and run multi-agent AI teams. Instead of a single chatbot, you assemble multiple agents with distinct roles, system prompts, and tool sets, then coordinate their work through transfer, delegation, or parallel execution. The beta launch (December 2025) delivers a desktop GUI, a terminal CLI, and an A2A HTTP API so you can interact with your teams graphically, from the command line, or via external systems. It supports multiple AI providers—including Claude, GPT, Gemini, DeepInfra, Together AI, and OpenCode—so you're not locked into one model ecosystem. Built-in tools include browser automation, file editing, code analysis, web search, and MCP server integration. A ChromaDB-powered semantic memory (added November 2025) lets agents retrieve context and forget topics on demand, and the /evolve command auto-suggests system prompt improvements based on what the memory has learned. Safety is built in: per-tool approval prompts, rate limiting, path validation, and audit logging. For automated pipelines, job mode produces structured JSON output for CI/CD. Agent configuration uses TOML/JSON files with import/export, and ready-made blueprints like Agent Maker, Deep Research, Document Writer, and Software Engineer help you start quickly. Requires Python 3.12+ and is currently in beta, so expect rough edges. Versus monolithic frameworks like AutoGen, AgentCrew offers a visual interface plus a programming model in one open-source package, with a strong emphasis on privacy and flexibility.
Behind the Verdict
When you're assembling a team of agents that talk to each other, AgentCrew gives you the visual and programmatic glue most frameworks lack. The desktop GUI, CLI, and A2A HTTP API mean you can prototype in the GUI, script in the CLI, and hook the whole thing into CI/CD via JSON. That's a rare trifecta for an open-source agent framework. Where it bites: beta. Expect rough edges, and don't rely on it for production-critical pipelines just yet. Enterprise guardrails like SSO and RBAC aren't there, and the desktop app isn't polished. If your org needs those, AutoGen or LangChain are safer bets—but they don't hand you a GUI. The ChromaDB memory and /evolve command are the differentiators. Agents that remember context and can propose their own prompt improvements feel genuinely smarter than stateless teams. It's not magic—the memory is local and topic-based—but it's a head start over rolling your own RAG. Pricing: the free tier gets you the core experience, and Pro at $15/mo unlocks more. One caution: you must run Python 3.12+. If you're not comfortable with that, this isn't for you. For a developer who wants to play with multi-agent patterns without cloud lock-in, AgentCrew is worth the weekend. Just keep the production caveat in mind.
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Real-world workflow fit
Concrete scenarios for the personas AgentCrew actually fits — and what changes day-one when you adopt it.
You set up a crew with a researcher agent (web search) and a writer agent (document generation), using the GUI to visualize their collaboration.
Outcome: You get a working prototype in under an hour, with the researcher feeding findings to the writer, and you can export the config for reuse.
You use the CLI to run a crew that extracts data from a source, processes it with code execution, and logs output in JSON for CI/CD.
Outcome: Your pipeline runs headlessly, producing structured output that integrates with your existing build system.
You enable ChromaDB memory and use /evolve to let your agents improve their prompts based on past interactions.
Outcome: Your agents become more effective over time, and you can analyze how memory influences performance.
Use Cases
- Chat with a team of specialized AI agents simultaneously to tackle complex questions.
- Automate multi-step research with web search and code execution agents.
- Build a customer support triage bot using role-defined agents.
- Prototype a writing assistant with separate editor and reviewer agents.
- Orchestrate data pipeline agents for ETL and reporting tasks.
Models Under the Hood
as of 2026-09-13
Limitations
- Free plan limits you to 3 agents per crew; Pro caps at 20.
- Context window is model-dependent, and MCP tool availability varies by tier.
- Desktop app is currently in beta.
- No native mobile app or web client.
- Enterprise features like SSO and RBAC are absent.
- Non-technical users may find the configuration steep.
as of 2026-08-26
Verification history
We have re-verified AgentCrew 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published AgentCrew tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developers and hobbyists who want to explore multi-agent systems locally with any provider, no cost.
What this tier adds
Free entry point: local runs with any supported provider, core multi-agent features, community support.
Pro
$15/mo
Ideal for
Power users and small teams who need more agents and priority support for active projects.
What this tier adds
Adds additional agents and workflows on top of Free, plus priority support.
Enterprise
Custom
Ideal for
Organizations requiring custom deployment, advanced security, and dedicated support for production use.
What this tier adds
Custom deployment options, advanced security and support, beyond Pro.
Where the pricing makes sense
The company stage and team size where AgentCrew's pricing actually pencils out — and where peers do it cheaper.
AgentCrew's pricing is ideal for indie developers and small teams who want to experiment with multi-agent systems without upfront cost. The free tier offers local runs with any provider, while Pro at $15/mo adds more agents. Compared to AutoGen (free, open-source) AgentCrew adds a GUI and convenience, but for large-scale production you'd pay more with Enterprise custom pricing.
Setup time & first value
How long it actually takes to get something useful out of AgentCrew — broken out by persona, not the marketing-page minute.
Developers can get started in under 10 minutes with pip install and a quick config. Researchers may spend 30 minutes understanding memory and /evolve. Non-technical users might need a few hours to learn the configuration.
Switching to or from AgentCrew
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From AutoGen: You can port your multi-agent workflows by redefining agents in TOML/JSON and using the GUI to visualize them.
- ↗To AutoGen: You can export your agent configs and adapt them to AutoGen's orchestration model.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “AgentCrew”, and we withheld 6: 6 could not be judged, because “AgentCrew” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about AgentCrew.
Official links
Tools that pair well with AgentCrew
Common stack mates teams adopt alongside AgentCrew, with the specific reason each pairing earns its keep.
Zhipu AI
Zhipu AI's GLM-5.3 and MaaS platform deliver open-source SOTA coding with 1M context for enterprise agents.
FlowiseAI
Open-source drag-and-drop builder for AI agents and chatbots—being sunset
Mastra
Mastra is an open-source TypeScript agent framework for building durable AI agents and workflows that run for days.
Featured Head-to-Head Comparisons
Agentcrew vs Locus Robotics
Locus Robotics and AgentCrew serve entirely different domains—physical warehouse automation vs. software-based multi-agent AI. Locus Robotics is ideal for high-volume logistics operations needing 2-3x productivity gains with proven AMRs and WMS integrations, while AgentCrew is a developer tool for prototyping and orchestrating AI agent teams with multi-model support. Your choice hinges on whether you need to move physical goods or experiment with software agents.
Agentcrew vs Presto Voice
These tools serve completely different markets. Presto Voice is purpose-built for QSR drive-thrus, proven to boost revenue and efficiency. AgentCrew is a flexible multi-agent chat app for developers. Choose Presto if you run a QSR chain; choose AgentCrew if you prototype AI agents.
Agentcrew vs Truleo
These tools serve entirely different markets. If you're in law enforcement needing automated intelligence from siloed data, Truleo is purpose-built. If you're a developer or researcher experimenting with multi-agent systems and MCP, AgentCrew is free and flexible. Buy based on your role—there's no crossover.
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Frequently Asked Questions
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