Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.
Organize and link scattered knowledge and data so AI agents can easily access and reuse important information.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeTurn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.
praxis has 43 stars on GitHub. It has been forked 5 times. praxis is written mainly in Python. It has been in active development since 2026. praxis is available under the MIT license. Its main topics are agent-memory, agent-skills, agentic-ai, agentic-rag.
Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.
praxis is an open-source project. It is released under the MIT license.
Yes. praxis is free and open source — you can use, modify and self-host it.
praxis is available under the MIT license.
praxis is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/sparkplug604-praxis.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.