What is SuperAGI?
SuperAGI is an AI sales platform that combines autonomous agents with a CRM, outreach sequences and dialers. The official site describes an AI sales agent that finds and engages prospects around the clock.
The name first became known through an open-source project. The SuperAGI repository on GitHub describes a developer-first framework for building, managing and running autonomous AI agents, released under the MIT licence with a web interface, toolkits, agent memory and Docker installation. The company later moved its focus to go-to-market software, and recent directory reviews describe it as an AI-native CRM for sales and marketing.
We could read the official site’s title and description, but its pages load their content with JavaScript and our fetches returned no plan details. Facts on pricing and modules below therefore come from directory reviews and are marked as reported. The GitHub project’s last commit on its main branch is dated January 2025, so treat the framework and the CRM as two different products.
Key Features
Outbound automation is the heart of SuperAGI, pairing an always-on AI sales agent with dialers, sequences and a CRM in one account.
- AI sales agent: SuperAGI’s own site describes an AI sales agent that works around the clock to find prospects and start conversations. The pitch is that a small team can run outbound activity without hiring extra sales development reps.
- CRM and pipeline: Directory reviews describe a built-in CRM that stores contacts, deals and activity alongside the agents. ColdIQ lists a basic CRM even on the free tier, so smaller teams can start without a separate system.
- Multichannel sequences: Reported features include email sequencing and multichannel journeys that combine several touchpoints. Higher tiers reportedly add unlimited journeys and intent signals for prioritising accounts that show buying interest.
- Power and parallel dialer: ColdIQ lists a power dialer on its Starter tier and a parallel dialer on Growth. A parallel dialer calls several numbers at once, which suits teams that make large volumes of outbound calls.
- Credit-based enrichment: A May 2026 pricing breakdown on ZoomInfo’s Pipeline blog says enrichment, AI emails and voice agents consume credits. It reports one credit per email lookup and about ten per phone number, with unused credits expiring.
- Open-source agent framework: The original SuperAGI project on GitHub is an MIT-licensed framework for building and running autonomous agents with toolkits, memory and a graphical interface. It installs with Docker and can use local models on a GPU.
Pros
Consolidation is SuperAGI’s strongest argument: one low-cost account can cover prospecting, outreach, calling and contact records for a small team.
- Fewer separate tools: Bundling a CRM, sequences, a dialer and agents in one account can replace several subscriptions. ColdIQ cites vendor claims of large cost savings, although those figures come from SuperAGI rather than independent tests.
- Low entry cost: Both directories we read report a free plan, and ColdIQ lists paid tiers from a few dollars a month on annual billing. Founders can test the workflow before committing a real budget.
- Built for outbound: The product is aimed squarely at prospecting, with an AI SDR, dialers and intent signals. Small sales teams gain outbound capacity that would otherwise need extra headcount.
- Open-source heritage: The MIT-licensed framework remains public on GitHub, with Docker setup and support for local models. Developers can study or self-host the agent code even though it is separate from the CRM product.
- API access: Reviews mention API access on higher tiers for wiring SuperAGI into an existing go-to-market stack. Revenue operations teams can sync data rather than rely only on manual exports.
Cons
Pricing uncertainty hurts SuperAGI most, because the official site would not load plan details and two directories report conflicting figures.
- Unclear official pricing: We could not load pricing from the official site, and two directories publish very different plan names and prices. You need to confirm current tiers and credit allowances directly with SuperAGI before budgeting.
- Credits expire: The ZoomInfo Pipeline breakdown says credits reset at the end of each billing cycle with no rollover. Heavy enrichment or voice use can therefore push you into a higher tier than expected.
- Confusing brand history: Search results mix the old open-source agent framework with the newer CRM product. Buyers can end up reading tutorials for software that has little to do with the sales platform they are evaluating.
- Setup effort: ColdIQ notes that settings, data mapping and workflow configuration take a few hours. Teams without a revenue operations owner may struggle to get value from the automation quickly.
- Dormant framework: The latest commit on the GitHub project’s main branch dates from January 2025. Developers wanting an actively maintained open-source agent library may prefer newer, busier projects.
Who is Using SuperAGI?
Start-ups and small sales teams make up most of SuperAGI’s reported audience, alongside developers who still use the original agent framework.
- Start-up founders: Founders running their own outbound use the AI agent and sequences. They want pipeline without hiring a full sales development team.
- SMB sales teams: Small and mid-market teams use the CRM and dialers in one place. ColdIQ names start-ups, SMBs and mid-market firms as the target customers.
- Marketing teams: Marketers use multichannel journeys and intent signals to nurture accounts. The aim is to hand warmer leads to sales.
- Developers: Developers still clone the open-source framework to experiment with autonomous agents. They run it locally with Docker or connect their own model keys.
Pricing
SuperAGI reportedly offers a free tier and paid plans, but published figures conflict (directory reports, October 2026; official pricing page did not load).
| Plan | Price | What you get |
|---|---|---|
| Free | $0 (reported by both directories) | About 100 credits a month (Pipeline) or 1,200 a year (ColdIQ), basic CRM and email agent |
| Starter | $30 per user a month annually (Pipeline) or $7 a month annually (ColdIQ) | More credits, dialer and multichannel sequences |
| Business or Growth | $100 per user a month annually (Pipeline) or $29 a month annually (ColdIQ) | All apps or unlimited journeys, parallel dialer, API access |
| Enterprise | Custom quote (reported) | SSO, SCIM and custom credit limits, according to Pipeline |
| Open-source framework | Free (MIT licence) | Self-hosted agent framework from GitHub, separate from the CRM |
ZoomInfo’s Pipeline blog, dated May 2026, lists per-user Starter and Business plans, while ColdIQ lists much cheaper Starter and Growth plans with a seven-day trial, so at least one source is out of date.
Disclaimer: none of these prices came from SuperAGI directly, so ask the vendor for a written quote that states credit allowances and expiry rules.
What Makes SuperAGI Unique?
A public open-source past sets SuperAGI apart from most AI CRM vendors. The original agent framework remains on GitHub under the MIT licence, so developers can inspect how its agents, toolkits and memory were designed, even though the commercial CRM is a separate hosted product.
The commercial side differs from traditional CRMs by putting the agent first. Rather than adding AI features to a contact database, SuperAGI pitches an agent that prospects and engages buyers itself, with the CRM, dialers and sequences built around that workflow.
Compatibilities and Integrations
Email, calendars and an API carry most SuperAGI integrations, while the open-source framework ships its own toolkits for services such as Slack and Jira.
- Hosted platform: The CRM is a web application at superagi.com. Native mobile apps were not confirmed on the pages we read.
- API: Directory reviews report API access on higher tiers. Confirm rate limits and endpoints with SuperAGI before planning a sync.
- Framework toolkits: The GitHub code includes toolkits for Apollo, GitHub, Google Calendar, Google Search, Jira, Slack, email and web scraping. These belong to the framework, not necessarily the CRM.
- Self-hosting: The framework runs with Docker on your own machine or server. A GPU build supports local language models.
SuperAGI Tutorials
A cautious trial of the sales platform takes six steps, keeping a human check on every message the agent sends.
- Create an account on superagi.com and start on the free tier if it is offered to you.
- Connect your email inbox and calendar, then import or sync existing contacts into the CRM.
- Describe your ideal customer profile so the agent knows which prospects to look for.
- Build a short multichannel sequence and review every AI-written message before it sends.
- Watch credit usage for enrichment and voice features during the first billing cycle.
- Compare replies and meetings booked after a month before upgrading to a paid tier.
How We Rated It
SuperAGI scores 3.6 out of 5: a broad, low-cost bundle offset by unverified pricing, thin documentation and limited security detail.
| Criterion | Score | Why |
|---|---|---|
| Accuracy and Reliability | 3.3/5 | Agent output needs review |
| Ease of Use | 3.6/5 | Some setup and mapping |
| Functionality and Features | 4.1/5 | CRM, dialer, agents bundled |
| Performance and Speed | 3.5/5 | Not independently tested |
| Customization and Flexibility | 3.8/5 | Open code, configurable workflows |
| Data Privacy and Security | 3.2/5 | Few public security details |
| Support and Resources | 3.2/5 | Thin, mixed documentation |
| Cost-Efficiency | 3.9/5 | Free tier, low entry |
| Integration Capabilities | 3.6/5 | API on higher tiers |
| Overall Score | 3.6/5 | Average of the nine criteria |
Summary
SuperAGI suits start-ups and small sales teams that want an AI agent, CRM, sequences and dialer in one inexpensive account. Its main limitation is uncertainty, since official pricing would not load and directories disagree on plans and prices. The open-source framework on GitHub is a separate, largely dormant project, so do not judge the CRM by it. We would treat SuperAGI as promising but unproven for larger teams. Start on the free tier, review every AI-written message, and track credit use before paying for seats.

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