tigerless-labs

agent-memory

Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.

Community Project Python
963 stars via github-search
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Growth we measured

14 daily star snapshots stored by whatstrending.ai, 2026-09-09 to 2026-09-22. GitHub shows today's number; this is the movement behind it.

1,444548
2026-09-09 — 548 stars2026-09-10 — 672 stars2026-09-11 — 835 stars2026-09-12 — 998 stars2026-09-13 — 1,165 stars2026-09-14 — 1,281 stars2026-09-15 — 1,444 stars2026-09-16 — 1,315 stars2026-09-17 — 920 stars2026-09-18 — 926 stars2026-09-19 — 943 stars2026-09-20 — 956 stars2026-09-21 — 959 stars2026-09-22 — 963 stars
2026-09-0914 stored snapshots2026-09-22
Stars963our snapshot on 2026-09-22
7-day pace-69/day-481 stars · 2026-09-15 → 2026-09-22 (7 days)
30-day paceno data yettracked for 13 days so far
Trajectorynot enough historyneeds a short and a long measured window
First recorded2026-09-0914 snapshots across 13 days

How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 14 snapshots for tigerless-labs/agent-memory between 2026-09-09 and 2026-09-22. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.

For the maintainer

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