Open-source workflow automation with first-class AI agent nodes — self-host or use cloud.
Tool useMemoryMulti-agent
Demo · hover to play
Fixie vs Tofuwhich AI ops agent should you pick in 2026?
Build durable agents that act on your internal data — open framework.
Tool useRAGMemoryMulti-agent
Autonomous campaign execution across email, ads, and web at brand-safe scale.
Tool useMemoryRAG
Fixie vs Tofu — specs
| Spec | Fixie | Tofu |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 63 / 100 (B) |
| Autonomy | Semi-autonomous | Autonomous |
| Pricing | Free · OSS | Subscription |
| Open source | Yes | No |
| Capabilities | Tool use, RAG, Memory, Multi-agent | Tool use, Memory, RAG |
| Integrations | 3 apps | 5 apps |
| Verified | — | — |
| Released | Feb 2025 | Jun 2025 |
Agent Rank breakdown
Fixie
Agent Rank
73/ 100
- Autonomy
- 8
- Capabilities
- 8
- Integrations
- 6
- Pricing
- 10
- Polish
- 6
- Verifiability
- 6
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Tofu
Agent Rank
63/ 100
- Autonomy
- 9
- Capabilities
- 6
- Integrations
- 6
- Pricing
- 4
- Polish
- 7
- Verifiability
- 6
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
Fixie
Pros
- +Real multi-agent primitives — planner + workers + reviewer out of the box
- +Strong for internal-tool agents over your own data
- +Permissive license; auditable end-to-end
Cons
- −Framework, not a finished product — engineering effort to ship anything
- −Smaller community than LangChain / LlamaIndex
- −Cloud pricing not yet published — usage-based and opaque
Tofu
Pros
- +#1 in multiple 2026 marketing-agent buyer guides — top of the vertical
- +Autonomous orchestration across email + ads + web (most agents only do one channel)
- +Strong brand-governance — runs every output through brand library checks
Cons
- −Enterprise pricing only — no SMB self-serve
- −Newer than Writer/Jasper — fewer Fortune 500 case studies
- −Best ROI requires existing martech stack (HubSpot/Marketo/Salesforce)
Pricing
Fixie
Open source
Free
Builders
- +Apache-2.0 framework
- +Self-host
- +Bring your own models + data
Cloud
Custom
Teams
- +Hosted runtime
- +Multi-agent orchestration
- +Observability
Tofu
Growth
Custom
Mid-market
- +Email + ads + web
- +Brand library
- +HubSpot/Marketo sync
Recommended
Scale
Custom
Large brands
- +Unlimited campaigns
- +Multi-brand workspace
- +Advanced governance
Enterprise
Custom
Fortune 500
- +Custom integrations
- +Dedicated CS
- +Custom SLAs
Which one should you pick?
Fixie
Pick Fixie if cost is the main constraint or if auditability or self-hosting matters.
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Frequently asked
Should I pick Fixie or Tofu in 2026?+
Pick Fixie if cost is the main constraint or if auditability or self-hosting matters. Pick Tofu if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Fixie for primary work and Tofu for the workflows where its specific strengths matter.
What's the price difference between Fixie and Tofu?+
Fixie starts at Free · OSS; Tofu starts at Subscription. Fixie is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Fixie or Tofu?+
Tofu is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.
Readers comparing Fixie and Tofu also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
"Multiplayer AI" — shared, governed company-wide agents across your stack.
Tool useMemoryRAGMulti-agent
Demo · hover to playEnterprise "Agent OS" with trust, memory, and multi-agent coordination — built by ex-Atlassian CTO.
Tool useMemoryRAGMulti-agent
See more alternatives: alternatives to Fixie · alternatives to Tofu
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