Both people seeking a mentor and experienced contributors willing to mentor others.
Connecting experienced participants with people developing their engagement with Active Inference.
On this page
Mentorship at the Institute runs in both directions — experienced contributors support the development of newer participants, and everyone benefits from the exchange of perspectives, context, and guidance.
Mentorship at the Institute can take many forms: regular one-on-one conversations, feedback on work in progress, introductions to other community members, guidance on navigating projects and learning resources, or simply a reliable point of contact who knows the landscape. Formal mentorship includes defined goals and a regular cadence of check-ins. Informal mentorship emerges naturally from community participation and shared project work. Both are valuable.
If you are newer to Active Inference or the Institute and would benefit from guidance, mentorship is available. Start by participating in community activities and identifying experienced contributors whose work and perspective resonates with yours. Express your interest through the mentorship pathway or by reaching out directly through the Discord community. Mentors are community members who have agreed to provide support — they are not distant authorities but active participants who remember what it is like to be new.
If you are an experienced participant in the Institute or Ecosystem and are willing to support others, mentorship is a meaningful way to contribute. Mentors help newer participants navigate the community, develop skills, and make meaningful contributions. The time commitment is flexible — even occasional guidance makes a substantial difference for people earlier in their journey. Expressing interest through the mentorship pathway connects you with participants who are actively seeking support.
Mentorship and internship are complementary pathways. Interns are typically connected with mentors from the community who provide guidance throughout their internship. The mentorship program also operates independently — some mentorship relationships develop outside any formal internship context, simply through sustained community participation.
Mentorship connects naturally with volunteering, internship, and fellowship. Volunteers often benefit from mentorship as they explore how to contribute. Interns receive mentorship as part of their structured engagement. Fellows draw on mentorship relationships as they develop sustained bodies of work.
Key surfaces
Formal or informal, one-on-one or group — mentorship takes the shape that fits the people involved.
Newer participants can find mentors through the pathway or community participation.
Experienced contributors can offer guidance and support to those earlier in their journey.
Interns receive mentorship as part of their structured engagement.
Related resources
External links are resolved from the shared registry so visitor-facing destinations stay centralized and checkable.
Audience: Newcomer
Primary public community channel for conversation, coordination, and newcomer orientation.
Audience: Newcomer
Recurring public update surface for activity orientation and current work.
Audience: Developer
Public GitHub organization for Institute repositories and open-source work.
Audience: Developer
Project repository for multiagent Active Inference modeling work.
Audience: Developer
Generalized Notation Notation project repository for model communication.
Audience: Developer
Geospatial modeling repository connected to ecological and bioregional applications.
Audience: Contributor
Public Fellows pathway for structured Institute participation.
Audience: Contributor
Public mentorship pathway for guided participation and learning.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Official pages
Audience: Developer
Official Knowledge Engineering page.
Audience: Developer
Official Active Blockference page.
Audience: Contributor
Official get-involved entry point, currently resolving to participation.
Audience: Contributor
Official participation page.
Audience: Contributor
Official internship page.
Audience: Contributor
Official fellowship page.
Audience: Contributor
Public projects shortlink for project directories and activity-linked work.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Repositories
Audience: Developer
Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
Audience: Developer
Python models and materials for ant-inspired multiagent Active Inference.
Audience: Developer
Public ants repository in the ActiveInferenceInstitute GitHub namespace.
Audience: Developer
ATLAS
Audience: Developer
Public Biofirm repository in the ActiveInferenceInstitute GitHub namespace.
Audience: Developer
Public Bots repository in the ActiveInferenceInstitute GitHub namespace.
Audience: Developer
Python codebase for cognitive and Active Inference-oriented modeling work.
Audience: Developer
Entropy Based Sampling and Parallel CoT Decoding