ledgermind
LedgerMind — an autonomous living memory for AI agents. It self-heals, resolves conflicts, distills experience into rules, and evolves without human intervention. SQLite + Git + reasoning layer. Perfect for multi-agent systems and on-device deployment.
- Multi-agent workflows that learn from prior execution failures
- On-device AI systems requiring persistent cross-session memory
- Autonomous agents that distill repeated tasks into reusable rules
Enables AI agents to maintain persistent, self-correcting state across distributed systems while reducing hallucination and inconsistency—critical for production multi-agent workflows where memory failures cascade into operational errors.
DevOps teams deploying multi-agent automation systems that require reliable, auditable agent memory without external dependencies.
https://github.com/sl4m3/ledgermind
By sl4m3
How to Get It
claude plugins install sl4m3/ledgermind
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Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Show HN: Numscript, a declarative language to model financial transactions — Hacker News · 202 pts
- U.S. bill proposes only banks should issue stablecoins — Hacker News · 20 pts
- Ledger Investing (YC W17) is making its metrics public — Hacker News · 9 pts
13 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Auto-assessment from April sweep — baseline scores pending hands-on review.
2026-04-18: Approved in April sweep: New and small but has a clear description and recent commits — worth tracking.
Things to check
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.