wild-card-ai/agents-json
None observed · 2026-08-28
Health v2 · maintenance only
39/100
- Activity 38
- Release rhythm 40
- Longevity 41
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: 1.0
- age_days: 580
- days_rel: 570
- days_push: 377
- n_releases_24m: 3
Adoption not part of the score
1315 stars · 66 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
agents.json is an open specification built on OpenAPI that formally describes contracts for API and agent interactions, translating OpenAPI definitions into LLM-callable tools. The Wildcard Bridge Python package loads, parses, and executes agents.json files so AI agents can call REST APIs.
Use cases
- convert openapi spec into llm tools
- let ai agent call rest apis
- define api contracts for ai agents
- build agents that use stripe or resend apis
- parse agents.json files in python
When to choose
- you want LLM agents to interact with existing OpenAPI-documented REST APIs
- you need a formal, portable spec for API-agent contracts
- you prefer a Python SDK with quickstart examples for common services
When to avoid
- you need MCP or a different agent-tool protocol
- your APIs lack OpenAPI definitions
- you need a production-hardened framework rather than a v0.1.0 spec
Facets
library · maturity active
agent-framework api-framework sdk parser auth large-language-models apis developer-tools python cross-platform openapi llm-tools api-integration specification tool-calling ai-agents
1 source
- readme: https://github.com/wild-card-ai/agents-json · fetched 2026-08-28 · f4d5e1cb01a8
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| wild-card-ai/agents-json | main | 39 |
For agents
markdown · JSON · MCP: product_card(name="wild-card-ai/agents-json")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem