polyarslan/agent-memory-framework
A framework-independent AI Agent memory system built with pure Markdown. Zero database dependency, works with any AI platform.
SUMMARY AI summary by gpt-5-mini
Agent Memory Framework is a framework-independent memory system for AI agents implemented as plain Markdown files (no database). It's intended for individual AI assistants, multi-agent teams, and lightweight knowledge-management setups that need portable, readable, version-controlled memory across platforms. Key features: - Pure Markdown storage with wikilinks for bidirectional references. - Three-layer architecture: 03 (soil: daily/project experience) → 02 (tools: reusable methods) → 01 (constitution: high-level principles). - AGENTS.md guidance for session startup and what to read. - Lint tool (agent-memory-lint) to detect/fix dead links, check staleness, compute health score; configurable via memory-lint.config.json. - Trigger-based maintenance practices (write on change), git-friendly structure, file naming and linking conventions. - Zero dependencies, easy migration (copy folder), MIT license.
Language breakdown (by bytes)
Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 75 / 100
Position among AI repos in the same language
We track 4,088 JavaScript repos, of which 3,156 score 40 or above on AI relevance. 256 have more stars than this one (top 6.3%), and 155 score higher (top 3.8%).
Owner
Dates
| Created on GitHub | 2026-05-17 |
| Last push | 2026-05-17 |
| First seen here | 2026-05-17 |
| Last fetched | 2026-08-19 16:13 |
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