claude

agent-memory

Agent Memory & Knowledge: filesystem memory, RLM summary ledgers, vector retrieval, and Obsidian vault and wiki workflows.

7 on GitHubby Richard Fremmerlidv2.0.0MITupdated yesterday

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin agent-memory in richfrem/agent-plugins-skills. Commands read from the repo's manifest — yesterday.

What it installs

Skills (4)

  • managing-obsidian-vaults

    Interactive vault, wiki and Super-RAG setup in the main conversation. Use for "set up my wiki", "initialize the full knowledge stack" or combined RLM/vector/wiki setup. Manage Obsidian vaults and LLM wikis: initialize vaults, author Markdown and wikilinks, safely edit notes and Bases, create Canvas

  • managing-rlm-cache

    Interactive RLM setup wizard and summary-ledger maintenance in the main conversation. Initialize, search, distill, curate, audit and clean RLM summary ledgers. Use for RLM profiles, summary injection, keyword cache lookup, missing summaries, stale entries and batch distillation. Wiki concept summari

  • managing-vector-db

    Interactive ChromaDB setup wizard and vector-index operations in the main conversation. Configure profiles, ingest files, search semantically, audit coverage, clean orphaned chunks and launch a local server. Use for vector database maintenance and phase-two semantic retrieval.

  • memory-management

    Zero-dependency, filesystem-native 3-Layer Memory Engine based on Google WikiSkill and Stanford graph-planning principles.

View source on GitHub

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dev-utils

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Developer utilities: 8 self-contained skills. Manages GitHub issues (log, promote, rank, refactor proposals, resolution audits) and resolves them in isolated worktrees through PR closure; bundles code and docs for review; checks links; enforces coding conventions; manages ADRs, symlinks, and HuggingFace dataset/model transfers.

8 skills

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Ecosystem authoring primitives — creates and audits agent skills, plugins, sub-agents, instructions, rules, hooks, GitHub workflows, and APM packages.

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Business exploration and reengineering: guided discovery, requirements capture, interactive prototypes, risk-tiered handoff to engineering, and rescue of existing vibe-coded prototypes. Phase gates enforced by running-exploration-cycle.

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Composable agent loop and graph architectures — deterministic state machines, DAG workflows, supervisor/worker loops, and parallel swarms, paired with the multi-LLM task router suite (run_agent.py, 13 expert agent personas, AGT sandboxing, and MAF validation). Framework-agnostic: works with any CLI agent.

5 skills

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Governed control plane and learning layer above Claude Code: a gated task pipeline with signed human approval gates and a gating switch (running-control-plane), project setup and signing-identity guidance (setting-up-agentic-os), and eval-gated skill improvement in an isolated lab (improving-skills-in-lab).

3 skills

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