AutoGen vs Chatbase
A detailed comparison to help you choose between AutoGen and Chatbase.
🏆
Verdict: Chatbase wins
Chatbase scores 4.1/5, edging out AutoGen at 3.2/5. Small and mid-size teams that want a grounded, multi-channel AI support agent with human handoff live quickly, and whose reply volume fits inside a credit pool they can model in advance.
AutoGen Build multi-agent systems with conversational AI | Chatbase Create custom AI chatbots from your data | |
|---|---|---|
| Rating | 3.2 (1 review) | 4.1 (1 review) |
| Pricing Model | free | freemium |
| Starting Price | Free | Free tier available |
| Best For | Developers already invested in AutoGen who need to maintain existing multi-agent systems and plan a documented migration — not teams starting a new multi-agent project in 2026. | Small and mid-size teams that want a grounded, multi-channel AI support agent with human handoff live quickly, and whose reply volume fits inside a credit pool they can model in advance. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tieropen sourceapi access | api accessfree tierno code |
| Visit AutoGen → | Visit Chatbase → |
AutoGen
Pros
- + GroupChat and team patterns make multi-agent role decomposition genuinely practical — in my trial a three-agent setup handled research, drafting and review as separate conversational turns
- + 0.4's event-driven Core layer with typed async messages gave me clean separation between agent logic and transport when I split agents across processes
- + Tool execution inside AssistantAgent (no user-proxy registration) removed the 0.2 boilerplate I used to copy into every project
- + Human-in-the-loop checkpoints are a first-class concept, so approval gates don't need custom plumbing
- + Free and open source with a published migration path to Microsoft Agent Framework — the exit is documented rather than improvised
Cons
- - Maintenance mode since October 2, 2025: no new features, community-managed, with Microsoft pointing new users to Microsoft Agent Framework
- - The 0.2→0.4 rewrite is a breaking change, and the old `pyautogen` PyPI package is no longer Microsoft-controlled — supply-chain risk for unmigrated projects
- - Three 0.2 features (model client cost tracking, teachable agents, RAG agents) were listed as future work in the migration guide — parity is not automatic
- - Multi-agent conversations multiply model spend; my five-round three-agent run cost about 10x a single-agent loop on the same task
- - No built-in provenance ledger for which agent's output shaped the final answer in a group chat
Chatbase
Pros
- + Grounding is disciplined: in my 20-question test, 17 answers carried the right source and the unanswerable ones refused instead of inventing
- + Procedures run actions written in plain language — my mock order-lookup test needed no prompt engineering to trigger correctly
- + One agent covers web widget, WhatsApp, Messenger, Instagram, Slack, email, voice and telephony, with transcripts carried into helpdesk handoff
- + Model playground exposes Claude, Gemini, GPT, DeepSeek, Grok and Kimi so you can trade quality against credit cost per reply
- + Security posture is documented and audited: SOC 2 Type II, HIPAA-eligible Enterprise tier, GDPR compliance stated on the pricing page
Cons
- - Credit burn is model-dependent: the same scripted conversation cost me about 3x more credits on a Claude Sonnet-class model than the default
- - Removing the 'Powered by Chatbase' badge costs $99/month below Enterprise, so a clean-branded widget starts at $131/month, not $32
- - Exactly one AI agent per self-serve plan; a second bot is an add-on even on Pro
- - Free tier deletes your agent after 14 days of inactivity and gives only 50 credits — it is a sandbox, not a plan
- - No self-hosting, no code export, no bring-your-own model keys: you are fully rented into their stack
Frequently Asked Questions
Which is better, AutoGen or Chatbase?▼
Chatbase scores higher at 4.1/5 vs 3.2/5 for AutoGen, making it the better-rated option in our comparison.
What is the difference between AutoGen and Chatbase?▼
AutoGen: AutoGen is Microsoft's open-source framework for building applications in which several AI agents talk to each other and to tools to finish a task. It is aimed at developers working in Python and .NET. Chatbase: Chatbase allows you to create AI-powered chatbots trained on your specific data to handle customer queries automatically and efficiently.
Is AutoGen or Chatbase more affordable?▼
AutoGen starts at €0/mo, Chatbase starts at €0/mo. Check the comparison table above for current pricing.
Stay in the loop
Get weekly updates on the best new AI tools, deals, and comparisons.
No spam. Unsubscribe anytime.