Ross ROSS = Recommend OSS · open-source software intelligence for agents

MetapriseAI/OrgKernel

Open-source trust layer for AI agents — cryptographic agent identity (Ed25519), instance-scoped execution tokens, SHA-256 hash-chained audit logging, and enterprise SSO/SCIM federation. The security foundation powering every agent in the Metaprise AURA platform. observed · 2026-08-28

github.com/MetapriseAI/OrgKernel · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

55/100

  • Activity 91
  • Release rhythm 35
  • Longevity 11

Flags: no_releases young

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: 161
  • days_rel: n/a
  • days_push: 58
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2700 stars · 247 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OrgKernel is an open-source trust layer for AI agents providing cryptographic agent identity (Ed25519), scoped execution tokens, SHA-256 hash-chained audit logging, and enterprise SSO/SCIM support. It integrates with agent frameworks like LangGraph, CrewAI, and AutoGen and persists to PostgreSQL, MySQL, or SQLite.

Use cases

  • add cryptographic identity to AI agents
  • enforce scoped permissions on agent tool calls
  • create tamper-evident audit logs of agent actions
  • federate agent access with enterprise SSO and SCIM
  • block agents from exceeding spending or authority limits
  • integrate governance into LangGraph or CrewAI workflows

When to choose

  • you deploy AI agents in an organization and need verifiable identity and authorization
  • you need tamper-evident audit trails for compliance
  • you want permission enforcement in the execution path rather than app code
  • you use LangGraph, CrewAI, or AutoGen and need a governance layer

When to avoid

  • you only need simple API-key auth for a prototype
  • your stack is not Python 3.10+
  • you need a fully managed SaaS governance product rather than a self-hosted library
  • your agent framework is unsupported by its integrations

Facets

library · maturity active

auth authorization security logging cryptography middleware sdk security large-language-models developer-tools backend python cross-platform self-hosted agent-identity ed25519 audit-trail hash-chain scim sso execution-tokens agent-governance trust-layer fastapi langgraph crewai autogen ai-agents docker

1 source

Member repositories

RepositoryRoleHealth v2
MetapriseAI/OrgKernelmain55

For agents

markdown · JSON · MCP: product_card(name="MetapriseAI/OrgKernel")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem