framerslab/agentos
TypeScript AI agent framework: cognitive memory, dynamic personalities, emergent behaviors and self-building designs
- Stars
- 683
- Forks
- 103
- Language
- TypeScript
- License
- Apache-2.0
- Last commit
- updated Nov 2026
Straight from GitHub
Nobody has written up this repo. Everything on this page comes straight from the GitHub API, so there is no founder write-up, no pros and cons, and no difficulty rating — rather than a generated guess at them.
Maintenance
Pushed within three months of the last stats read (as of Nov 6, 2026).
Licence
Apache-2.0
Tech stack
Primary language: TypeScript. GitHub reports only the dominant language, so this is not the whole stack.
Install
No install command has been verified for this repo. Follow the README rather than a guess.
Quality score
Computed by the discovery import when this entry was added.
- Recent activity×0.30
- 1.00
How recently the default branch was pushed to.
- Adoption×0.20
- 0.60
Stars on a log scale, so adoption counts without dominating.
- Description and topics×0.15
- 1.00
Whether the repo describes itself: description, topics, homepage.
- README present×0.15
- 1.00
Whether the repository has a README at all.
- Licence clarity×0.10
- 1.00
Whether GitHub can resolve the licence to a recognised SPDX id.
- Issue health×0.10
- 1.00
Open issues relative to adoption, as a rough maintenance signal.
Similar repos
Same category, ranked by shared topics.
An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.
956 starsPythonBSD-3-Clauseupdated Sep 2026AI & ML- promptise-com/FoundryHidden gem
The foundation layer for agentic intelligence.
894 starsPythonApache-2.0updated Nov 2026Developer Tools More is Different. A multi-agent world engine where AI agents live, talk, compete, ally.
823 starsPythonMITupdated May 2026AI & MLRAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
93.7k starsGoApache-2.0updated Nov 2026AI & ML
Stats updated Nov 6, 2026. Stars, forks, issue counts, and dates are a snapshot read from the GitHub REST API, not a live figure. This site makes no requests to GitHub when you load a page.