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LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.

frameworkGoApache-2.0
GitHubCompare
Refreshed 1h ago
OverviewActivity52wAlternativesDocs
Stars628
Forks76
HF Downloads—30d
Last commit2d ago
Refreshed1h ago
Project healthActiveLast commit 2d ago.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesApache-2.0Verify license before production use.
AgentHub Score
75 / 100
Composite score from 6 signals. How we score →
Active project
75Score
Growth
90A
Activity
96A+
Documentation
70C+
Maturity
77B
Community
90A
Production
58C
GitHub stars · 79 days observed628 +9.23% / 30d
snapshots
Repository activity · 79 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-10-14
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguageGo
LicenseApache-2.0
Sourcegithub
Open source✗ No
Commercial use—
Docs—
Demo—
Paper—

AgentHub Score

75
Score 75/100
Above average

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