agentforge-openclaw and aceforge

agentforge-openclaw
44
Emerging
aceforge
38
Emerging
Maintenance 13/25
Adoption 6/25
Maturity 9/25
Community 16/25
Maintenance 13/25
Adoption 7/25
Maturity 18/25
Community 0/25
Stars: 23
Forks: 6
Downloads:
Commits (30d): 0
Language:
License:
Stars: 1
Forks:
Downloads: 510
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No Dependents

About agentforge-openclaw

AlekseiUL/agentforge-openclaw

Create production-ready skills and agents for OpenClaw. 4-level memory, auto-improvement, 22 battle-tested pitfalls.

Here's a technical summary for the developer directory: Implements a 9-step pipeline with tiered memory architecture: contextual (session), file-based (lessons/patterns/logs), vector search (past conversations), and identity layers (role/personality/user profile). The auto-handoff system periodically snapshots conversation state to markdown, enabling 95% context recovery after resets versus the typical 30-50% loss. Provides structured templates for three agent archetypes (Full/Specialized/Mask) and four skill types (Workflow/Role/Data-driven/Hybrid), plus pattern-driven self-improvement that converts repeated mistakes into permanent rules. --- **Word count: 71 | Technical specificity: Memory architecture, context recovery mechanism, template-based archetypes**

About aceforge

sudokrang/aceforge

Self-evolving skill engine for OpenClaw agents. Observes tool usage, crystallizes patterns into auditable SKILL.md files through a dual-model LLM pipeline, and continuously validates with 23 adversarial mutations. Research-grounded. Human-approved. Nothing auto-deploys.

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