Activepieces vs Mem0
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Activepieces suits teams needing freemium free tier, automation focus, and 23,974 GitHub stars in current listing data. Mem0 suits teams needing freemium $49/mo, memory focus, and 63,787 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Activepieces | Mem0 |
|---|---|---|
| GitHub Stars | 24.0K | 63.8K |
| Contributors | 355 | 393 |
| Last Commit | Aug 21, 2026 | Aug 21, 2026 |
| Open Issues | 489 | 683 |
| License | open-source | open-source |
| Pricing | freemium | freemium |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
Choose Activepieces if you need
- • Activepieces stands out for Automation workflows that are not listed for Mem0.
- • Activepieces is the stronger pick when Slack matters because that capability is listed only on its profile.
- • Activepieces is the cleaner fit if you specifically need Automation workflows from the catalog tags.
Choose Mem0 if you need
- • Mem0 stands out for Memory workflows that are not listed for Activepieces.
- • Mem0 is the stronger pick when Langchain matters because that capability is listed only on its profile.
- • Mem0 shows broader GitHub adoption with 63,787 stars versus 23,974 for Activepieces.
Meaningful differences
- • Pricing model: Activepieces is listed as freemium, while Mem0 is listed as freemium from $49/mo.
- • Workflow emphasis: Activepieces highlights Automation, while Mem0 highlights Memory.
- • GitHub adoption: Activepieces shows 23,974 stars versus 63,787 for Mem0.
- • Contributor count: Activepieces lists 355 contributors and Mem0 lists 393.
Shared capabilities
- • Openai
- • Anthropic
Shared Tags
Only in Activepieces
Only in Mem0
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About Activepieces
Activepieces is an open-source workflow automation platform and Zapier alternative with a no-code visual builder, 280+ integrations (60% community-contributed), and the largest open-source MCP collection. All 280+ pieces are usable as MCP tools with Claude Desktop, Cursor, and Windsurf. Features loops, branches, auto-retries, native AI pieces, custom agent creation, TypeScript piece framework with hot-reloading, enterprise features (branding, approval workflows, human input via chat/forms), version control, and network-gapped deployment.
View full listingAbout Mem0
Mem0 provides a managed memory layer that gives AI agents and chatbots the ability to remember user preferences, past interactions, and contextual facts across sessions. It automatically extracts and stores relevant memories from conversations, retrieves them at inference time via semantic search, and handles forgetting of stale information. Compatible with any LLM and easy to self-host, Mem0 is the most widely adopted open-source memory solution for AI applications.
View full listing