superglue-ai/superglue
superglue (YC W25) builds integrations and tools from natural language. Get production-grade tools for long tail and enterprise systems. observed · 2026-08-28
Health v2 · maintenance only
65/100
- Activity 98
- Release rhythm 35
- Longevity 42
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 600
- days_rel: n/a
- days_push: 14
- n_releases_24m: 0
Adoption not part of the score
2053 stars · 130 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
superglue is an open-source, self-hostable agentic integration platform that builds production-grade API integrations, data migrations, and tools from natural language descriptions. Its AI agents discover endpoints, handle authentication, write transformations, and repair workflows across REST, GraphQL, SOAP, SQL, SFTP, and legacy enterprise systems.
Use cases
- build api integrations from natural language descriptions
- migrate data from quickbooks to sage intacct automatically
- connect internal systems and databases to ai agents like claude
- onboard customers by integrating with their crm and ticketing systems
- automate etl transformations between erp and legacy systems
- expose company data to llm agents via mcp with governance
- repair broken integrations when an api changes
When to choose
- you need integrations with long-tail or poorly documented enterprise systems like ERPs, SOAP APIs, or SFTP servers
- you want to describe integrations in plain English instead of writing connector code
- you need self-hosted or on-prem deployment with data residency and SOC 2 requirements
- you run frequent data migrations or customer onboarding across diverse tech stacks
When to avoid
- you only need a single well-supported SaaS connector that existing iPaaS tools already cover
- you want a lightweight code-first SDK without LLM-driven automation or token costs
- your workflows must run fully offline without any LLM inference
Facets
service · maturity active
etl agent-framework api-framework mcp workflow-automation data-science apis developer-tools self-hosted self-hosted cloud integration-platform api-orchestration data-migration erp crm natural-language oauth2 yc-w25 agentic-workflows function-calling data-engineering automation ai-agents docker nodejs web-server
5 sources
- readme: https://github.com/superglue-ai/superglue · fetched 2026-08-28 · 5f50006e6841
- homepage: https://superglue.ai · fetched 2026-08-29 · 0eab0eabd395
- site_page: https://superglue.ai/docs/getting-started/introduction · fetched 2026-08-29 · 6dc029716286
- site_page: https://superglue.ai/pricing · fetched 2026-08-29 · dd152c142f17
- site_page: https://superglue.ai/faq · fetched 2026-08-29 · 169af97fb31c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| superglue-ai/superglue | main | 65 |
For agents
markdown · JSON · MCP: product_card(name="superglue-ai/superglue")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem