OpenLAIR / OpenSkill
Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)
Why this job: works in the areas we cover, but does not say which job it does
What it does
Self-evolving agents need to adapt *after* deployment — but existing methods assume a usable learning loop is already there: curated skills, successful trajectories, or verifier signals. Real open-world deployments may offer none of these, only a task prompt.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 100
- +3 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- PDDL
- 78% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 0% closed
- 3 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- PDDL 78%
- Python 14%
- Shell 5%
- Dockerfile 1%
Topics
- agent-skills
- ai-agents
- llm-agents
- open-world
- self-evolving-agents
Project record
- JobOther AI tools
- StatusListed
- Commits10
- Forks4
- Watching8
- Stars in 28 days+5
- CreatedJun 3, 2026
- First seen by usNov 11, 2026
- CheckedNov 11, 2026