Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. Works with Claude Code and OpenClaw.
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docs: update README for v0.5.0 — types, recall, adaptive triggers, secret scan
d2366feView on GitHubchore: bump version to v0.5.0 — memory types, recall, freshness, secret scan, adaptive triggers, agent memory
955b862View on GitHubskill(compaction): agent memory — read/write AGENT.md for learned patterns
47647f7View on GitHubskill(core): adaptive compaction triggers — multi-condition trigger, counter increment on checkpoint
818f843View on GitHubfeat(compact): adaptive counters in .compaction-state.json — rawLines and checkpoints tracking
44c9c80View on GitHubfeat(compact): secret scanner — redact API keys, tokens, passwords in compaction nodes
e534c59View on GitHubspec: freshness tracking — age calculation in root compaction, verification markers
45ae5cfView on GitHubfeat: structured WORKING.md with Key Files, Decisions, Errors, Next Steps
dc1ee49View on GitHubskill(recall): selective recall with ROOT.md triage, manifest LLM selection, freshness warnings
6c2c3a9View on GitHubskill(compaction): type-aware rules, keyword extraction, exclusion filtering, age calculation
fcba28eView on GitHub