Agentdb Learning Plugins
- 983 installs
- 67k repo stars
- Updated August 4, 2026
- ruvnet/ruflo
agentdb learning plugins is a ruflo skill that creates and trains self-improving reinforcement learning plugins for autonomous agents for developers who want AgentDB-backed adaptive agent behavior.
About
agentdb learning plugins is a ruflo skill focused on creating and training self-improving reinforcement learning plugins that extend autonomous agents through the AgentDB ecosystem. The skill guides plugin scaffolding, training loops, and integration so agents can refine behavior from feedback without manual prompt rewrites. Developers reach for agentdb learning plugins when building adaptive multi-step agents that must learn from outcomes stored in AgentDB. It pairs with other ruflo v3 memory and coordination skills for end-to-end agent platforms. Use it during build-phase agent-tooling when static tool registries no longer capture evolving task performance.
- Access to 9 reinforcement learning algorithms including Decision Transformer, Q-Learning, SARSA, and Actor-Critic
- WASM-accelerated neural inference that trains models 10-100x faster
- Interactive CLI wizard plus 9 specialized templates for rapid plugin creation
- Supports offline RL, value-based learning, policy gradients and advanced experience-based optimization
- Seamless integration with AgentDB v1.0.7+ via agentic-flow
Agentdb Learning Plugins by the numbers
- 983 all-time installs (skills.sh)
- +3 installs in the week ending Aug 5, 2026 (Skillselion tracking)
- Ranked #1,114 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/ruvnet/ruflo --skill agentdb-learning-pluginsAdd your badge
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| Installs | 983 |
|---|---|
| repo stars | ★ 67k |
| Security audit | 1 / 3 scanners passed |
| Last updated | August 4, 2026 |
| Repository | ruvnet/ruflo ↗ |
How do you build self-improving agent plugins?
Create and train self-improving reinforcement learning plugins for autonomous agents.
Who is it for?
Developers extending ruflo agents with trainable plugins that adapt from stored interaction outcomes.
Skip if: One-shot prompt tuning or fine-tuning LLM weights without an AgentDB plugin architecture.
When should I use this skill?
A developer needs RL-based agent plugins, self-improving tool behavior, or AgentDB learning integration.
What you get
Trained RL plugin modules, AgentDB learning hooks, and integration config for autonomous agents.
- RL plugin module
- Training configuration
- AgentDB learning integration
Files
Claims Authorization Skill
Purpose
Claims-based authorization for secure agent operations and access control.
Claim Types
| Claim | Description |
|---|---|
read | Read file access |
write | Write file access |
execute | Command execution |
spawn | Agent spawning |
memory | Memory access |
network | Network access |
admin | Administrative operations |
Commands
Check Claim
npx claude-flow claims check --agent agent-123 --claim writeGrant Claim
npx claude-flow claims grant --agent agent-123 --claim write --scope "/src/**"Revoke Claim
npx claude-flow claims revoke --agent agent-123 --claim writeList Claims
npx claude-flow claims list --agent agent-123Scope Patterns
| Pattern | Description |
|---|---|
* | All resources |
/src/** | All files in src |
/config/*.toml | TOML files in config |
memory:patterns | Patterns namespace |
Security Levels
| Level | Claims |
|---|---|
minimal | read only |
standard | read, write, execute |
elevated | + spawn, memory |
admin | all claims |
Best Practices
1. Follow principle of least privilege 2. Scope claims to specific resources 3. Audit claim usage regularly 4. Revoke claims when no longer needed
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Use agentdb learning plugins for trainable AgentDB agent extensions; use memory unification first if fragmented stores block consistent learning data.
FAQ
What does agentdb learning plugins build?
agentdb learning plugins creates and trains reinforcement learning plugins that let autonomous agents improve from feedback. Plugins integrate with AgentDB so learned behavior persists across sessions instead of relying on static prompts.
When should developers use agentdb learning plugins?
agentdb learning plugins fits ruflo projects where agents must adapt tool usage from outcomes over time. Skip it for static tool registries or workflows that do not need persisted learning loops in AgentDB.
Is Agentdb Learning Plugins safe to install?
skills.sh reports 1 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.