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Add Vestige #708

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Expand Up @@ -380,6 +380,7 @@ Tools that manage and sync AI agent configurations, rules, and context across ed
- [skill-optimizer](https://github.com/fastxyz/skill-optimizer) — CLI that benchmarks SDK, CLI, and MCP guidance docs (SKILL.md) against multiple LLMs and runs an iterative optimizer to rewrite them until every configured model meets a score floor.
- [KubeStellar Console kc-agent](https://github.com/kubestellar/console) — MCP server that bridges AI coding agents (Claude Code, Copilot, Codex) to multi-cluster Kubernetes APIs. Enables natural language queries across clusters, workload placement, policy enforcement, and real-time observability. CNCF Sandbox project.
- [SwarmVault](https://github.com/swarmclawai/swarmvault) - Local-first RAG knowledge vault and MCP server. Compiles raw sources (books, notes, transcripts, exports, datasets, slide decks, files, URLs, code) into a durable markdown wiki with a knowledge graph and a hybrid SQLite FTS plus embeddings index. The bundled MCP server (`npx -y @swarmvaultai/cli mcp`) gives Claude Code, Codex, OpenCode, and any MCP client page search, page reads, source listing, query, ingest, compile, and lint tools. MIT.
- [Vestige](https://github.com/samvallad33/vestige) — Local-first MCP memory server for coding agents with SQLite storage, FSRS-style retention, hybrid retrieval, provenance/correction tools, and a dashboard for inspecting agent memory.
- [claude-code-pro-pack](https://github.com/sisyphusse1-ops/claude-code-pro-pack) — Drop-in 12-rule `CLAUDE.md` + `AGENTS.md` baseline that closes common agent-orchestration failures (token spirals, silent partial failures, two-pattern pollution). Includes PRD generator prompt, browser-skill-graduation workflow, and 5 example skills. ~700 tokens total, MIT.
- [cc-audit](https://github.com/sisyphusse1-ops/cc-audit) — Single-file Python linter that scores any `CLAUDE.md` / `AGENTS.md` against a 12-rule baseline. Flags leaked secrets (GitHub PATs, AWS keys, PayPal links), the 200-line compliance cliff, and missing project-specifics sections. Zero dependencies, JSON output for CI, MIT.
- [GAAI Framework](https://github.com/Fr-e-d/GAAI-framework) — Drop-in governance layer for AI coding tools. Backlog-first delivery, cross-session memory, decision tracking, QA gates, and autonomous delivery daemon. Works with Claude Code, Cursor, Codex CLI, Gemini CLI, Windsurf. Markdown + YAML + bash, zero dependencies.
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