mcp-memory-gateway

分类: 工具与效率 | 上传者: IgorGanapolsky | 下载: 0 | 版本: v1.0（最新）

The Agentic Feedback Studio & Veto Layer. Persistent agent memory, high-density context packs, and Agentic Guardrails (V2V) for Claude Code, Codex, and Gemini.

更新日志: Source: GitHub https://github.com/IgorGanapolsky/mcp-memory-gateway

目录结构

当前层级: 根目录

📁 .claude/
- 📁 context-engine/
  - 📄 knowledge-index.json 6.6 KB
  - 📄 quality-log.json 3.8 KB
- 📁 memory/
  - 📁 feedback/
    
    📁 lancedb/
    
    📁 rlhf_memories.lance/
    
    📁 _transactions/
    
    📄 0-ceb5e21c-2858-4aa1-a5a5-d488d9862be9.txn 463 B
    
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    📄 9-2a8215a1-59a3-4801-a409-ee2513a0ff53.txn 130 B
    
    📁 _versions/
    
    📄 18446744073709551597.manifest 2.1 KB
    
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    📄 18446744073709551613.manifest 763 B
    
    📄 18446744073709551614.manifest 1007 B
    
    📁 data/
    
    📄 000011010111001101111001da167b485fb2fa8d83d1f8acd7.lance 3.9 KB
    
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    📄 1111101101001111001110015bb3e24f8d9cab6419527fcdca.lance 4.0 KB
    
    📄 .gitkeep 72 B
- 📁 ralph/
  - 📄 ATTEMPTS.md 1.7 KB
- 📁 rules/
  - 📄 pr-thread-policy.md 1.0 KB
- 📁 scripts/
  - 📁 feedback/
    
    📄 capture-feedback.js 5.0 KB
- 📁 skills/
  - 📄 paperbanana-diagrams.md 2.5 KB
- 📄 settings.json 395 B
📁 .claude-plugin/
- 📄 marketplace.json 729 B
- 📄 plugin.json 533 B
📁 .github/
- 📁 agents/
  - 📄 rlhf.agent.md 904 B
- 📁 ISSUE_TEMPLATE/
  - 📄 ready-for-agent.yml 2.9 KB
- 📁 workflows/
  - 📄 agent-automerge.yml 3.3 KB
  - 📄 ci.yml 5.6 KB
  - 📄 dependabot-automerge.yml 3.2 KB
  - 📄 deploy-railway.yml 3.2 KB
  - 📄 gtm-autonomous-loop.yml 1.7 KB
  - 📄 marketing-autopilot.yml 3.9 KB
  - 📄 mcp-registry-publish.yml 680 B
  - 📄 merge-branch.yml 1.9 KB
  - 📄 publish-npm.yml 435 B
  - 📄 self-healing-auto-fix.yml 1.7 KB
  - 📄 self-healing-monitor.yml 6.0 KB
- 📄 dependabot.yml 519 B
- 📄 FUNDING.yml 108 B
- 📄 github-app-manifest.json 980 B
- 📄 GITHUB_APP_SETUP.md 5.3 KB
- 📄 MARKETPLACE_ANALYSIS.md 7.1 KB
- 📄 pull_request_template.md 702 B
📁 .planning/
- 📁 phases/
  - 📁 01-contract-alignment/
    
    📄 1-01-PLAN.md 8.4 KB
    
    📄 1-01-SUMMARY.md 6.3 KB
    
    📄 1-02-PLAN.md 9.2 KB
    
    📄 1-02-SUMMARY.md 6.4 KB
    
    📄 1-03-PLAN.md 9.7 KB
    
    📄 1-03-SUMMARY.md 3.7 KB
    
    📄 1-RESEARCH.md 21.8 KB
    
    📄 1-VERIFICATION.md 15.2 KB
  - 📁 02-ml-into-rlhf-feedback-loop/
    
    📄 02-01-PLAN.md 8.2 KB
    
    📄 02-01-SUMMARY.md 5.4 KB
    
    📄 02-02-PLAN.md 15.6 KB
    
    📄 02-02-SUMMARY.md 5.7 KB
    
    📄 02-03-PLAN.md 9.1 KB
    
    📄 02-03-SUMMARY.md 3.3 KB
    
    📄 02-04-PLAN.md 9.2 KB
    
    📄 02-04-SUMMARY.md 3.7 KB
    
    📄 02-05-PLAN.md 11.6 KB
    
    📄 02-05-SUMMARY.md 3.2 KB
    
    📄 2-RESEARCH.md 35.8 KB
  - 📁 03-governance-into-subway/
    
    📄 3-01-PLAN.md 15.6 KB
    
    📄 3-01-SUMMARY.md 6.5 KB
    
    📄 3-02-PLAN.md 17.7 KB
    
    📄 3-02-SUMMARY.md 7.2 KB
    
    📄 3-03-PLAN.md 16.9 KB
    
    📄 3-03-SUMMARY.md 9.0 KB
    
    📄 3-04-PLAN.md 13.5 KB
    
    📄 3-04-SUMMARY.md 5.2 KB
    
    📄 3-RESEARCH.md 29.4 KB
  - 📁 04-lancedb-vector-storage/
    
    📄 4-01-PLAN.md 7.6 KB
    
    📄 4-01-SUMMARY.md 4.9 KB
    
    📄 4-02-PLAN.md 5.1 KB
    
    📄 4-02-SUMMARY.md 4.3 KB
    
    📄 4-03-PLAN.md 5.7 KB
    
    📄 4-03-SUMMARY.md 3.7 KB
    
    📄 4-04-PLAN.md 7.4 KB
    
    📄 4-04-SUMMARY.md 5.4 KB
    
    📄 4-RESEARCH.md 24.6 KB
  - 📁 05-rlaif-and-dpo-optimization/
    
    📄 5-01-PLAN.md 10.8 KB
    
    📄 5-01-SUMMARY.md 7.1 KB
    
    📄 5-02-PLAN.md 7.6 KB
    
    📄 5-02-SUMMARY.md 5.7 KB
    
    📄 5-03-PLAN.md 11.2 KB
    
    📄 5-03-SUMMARY.md 4.0 KB
    
    📄 5-RESEARCH.md 28.9 KB
  - 📁 06-feedback-attribution/
    
    📄 06-01-PLAN.md 10.2 KB
    
    📄 06-01-SUMMARY.md 5.1 KB
    
    📄 06-02-PLAN.md 8.7 KB
    
    📄 06-02-SUMMARY.md 4.4 KB
    
    📄 06-03-PLAN.md 11.3 KB
    
    📄 06-03-SUMMARY.md 4.8 KB
    
    📄 06-04-PLAN.md 11.1 KB
    
    📄 06-04-SUMMARY.md 4.7 KB
  - 📁 07-data-quality/
    
    📄 07-01-PLAN.md 6.8 KB
    
    📄 07-01-SUMMARY.md 2.2 KB
    
    📄 07-02-PLAN.md 8.6 KB
    
    📄 07-02-SUMMARY.md 2.4 KB
    
    📄 07-03-PLAN.md 13.4 KB
    
    📄 07-03-SUMMARY.md 2.9 KB
  - 📁 08-loop-closure/
    
    📄 08-01-PLAN.md 5.8 KB
    
    📄 08-01-SUMMARY.md 2.2 KB
    
    📄 08-02-PLAN.md 5.0 KB
    
    📄 08-02-SUMMARY.md 1.9 KB
    
    📄 08-03-PLAN.md 9.1 KB
    
    📄 08-03-SUMMARY.md 2.2 KB
    
    📄 08-04-PLAN.md 11.7 KB
    
    📄 08-04-SUMMARY.md 2.8 KB
  - 📁 09-intelligence/
    
    📄 09-01-SUMMARY.md 3.2 KB
  - 📁 10-training-export/
    
    📄 10-01-SUMMARY.md 3.5 KB
  - 📁 11-subway-upgrades/
    
    📄 11-01-PLAN.md 3.9 KB
    
    📄 11-01-SUMMARY.md 2.1 KB
    
    📄 11-02-PLAN.md 3.3 KB
    
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    📄 11-04-PLAN.md 3.6 KB
    
    📄 11-04-SUMMARY.md 3.0 KB
  - 📁 12-proof-gate/
    
    📄 12-01-SUMMARY.md 1.9 KB
  - 📁 13-deployment/
    
    📄 13-01-SUMMARY.md 5.2 KB
  - 📁 14-billing/
    
    📄 14-01-SUMMARY.md 5.5 KB
  - 📁 15-plugin-distribution/
    
    📄 15-01-SUMMARY.md 4.9 KB
  - 📁 16-discovery/
    
    📄 16-01-SUMMARY.md 3.6 KB
  - 📁 17-proof-gate/
    
    📄 17-01-SUMMARY.md 4.1 KB
- 📁 research/
  - 📄 ARCHITECTURE.md 28.0 KB
  - 📄 FEATURES.md 18.4 KB
  - 📄 PITFALLS.md 21.6 KB
  - 📄 STACK.md 12.2 KB
  - 📄 SUMMARY.md 18.5 KB
- 📄 config.json 213 B
- 📄 MILESTONES.md 1.6 KB
- 📄 PROJECT.md 4.0 KB
- 📄 REQUIREMENTS.md 3.7 KB
- 📄 ROADMAP.md 22.3 KB
- 📄 STATE.md 4.1 KB
📁 .rlhf/
- 📁 contextfs/
  - 📁 memory/
    
    📁 error/
    
    📄 1773416393581_mistake-no-test-evidence.json 662 B
    
    📄 1773425539432_mistake-no-test-evidence.json 662 B
    
    📁 learning/
    
    📄 1773416344374_success-testing-reasoning-trace-implementation.json 551 B
    
    📄 1773416393531_success-used-proof-harness-and-verification-logs.json 588 B
    
    📄 1773416393590_success-end-to-end-verification-flow.json 466 B
    
    📄 1773425539314_success-used-proof-harness-and-verification-logs.json 588 B
    
    📄 1773425539438_success-end-to-end-verification-flow.json 466 B
  - 📁 provenance/
    
    📄 evaluations.jsonl 28.4 KB
    
    📄 events.jsonl 39.6 KB
    
    📄 memex-index.jsonl 35.7 KB
    
    📄 packs.jsonl 175.8 KB
    
    📄 semantic-cache.jsonl 4.6 KB
  - 📁 raw_history/
    
    📄 1773416344372_feedback-positive-fb-1773416344333-fqf8ov.json 908 B
    
    📄 1773416393527_feedback-positive-fb-1773416393525-lgid9s.json 1.0 KB
    
    📄 1773416393580_feedback-negative-fb-1773416393579-8nxebs.json 1.1 KB
    
    📄 1773416393588_feedback-positive-fb-1773416393586-n7bs4e.json 880 B
    
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    📄 1773420645704_feedback-positive-fb-1773420645700-86cd96.json 880 B
    
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    📄 1773420734785_feedback-positive-fb-1773420734774-vujcwr.json 880 B
    
    📄 1773425539294_feedback-positive-fb-1773425539293-ighfxs.json 1.0 KB
    
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    📄 1773425539436_feedback-positive-fb-1773425539429-fjuy78.json 880 B
  - 📁 rules/
    
    📄 current-rules.json 520 B
- 📁 skill-proposals/
  - 📄 solve-architecture-autonomy.json 1.4 KB
- 📄 .watcher-offset 3 B
- 📄 diversity-tracking.json 664 B
- 📄 feedback-log.jsonl 11.3 KB
- 📄 feedback-sequences.jsonl 10.8 KB
- 📄 feedback-summary.json 134 B
- 📄 memory-log.jsonl 5.2 KB
- 📄 prevention-rules.md 389 B
- 📄 risk-model.json 3.4 KB
- 📄 self-score-log.jsonl 3.7 KB
- 📄 studio-index.json 7.2 KB
- 📄 verification-model.json 2.1 KB
📁 .vscode/
- 📄 mcp.json 183 B
📁 .well-known/
- 📁 mcp/
  - 📄 server-card.json 5.4 KB
📁 adapters/
- 📁 amp/
  - 📁 skills/
    
    📁 rlhf-feedback/
    
    📄 SKILL.md 559 B
- 📁 chatgpt/
  - 📄 INSTALL.md 2.7 KB
  - 📄 openapi.yaml 17.5 KB
- 📁 claude/
  - 📄 .mcp.json 303 B
- 📁 codex/
  - 📄 config.toml 239 B
- 📁 gemini/
  - 📄 function-declarations.json 3.3 KB
- 📁 mcp/
  - 📄 server-stdio.js 28.5 KB
- 📄 README.md 486 B
📁 bin/
- 📄 cli.js 31.5 KB
📁 config/
- 📁 gates/
  - 📄 auto-promoted.json 337 B
  - 📄 default.json 2.3 KB
- 📁 policy-bundles/
  - 📄 constrained-v1.json 1.3 KB
  - 📄 default-v1.json 1.9 KB
- 📁 rubrics/
  - 📄 default-v1.json 1.1 KB
- 📄 mcp-allowlists.json 1.0 KB
- 📄 partner-routing.json 3.8 KB
- 📄 subagent-profiles.json 845 B
📁 docs/
- 📁 diagrams/
  - 📄 plugin-topology-pb.png 1008.3 KB
  - 📄 plugin-topology.png 65.8 KB
  - 📄 plugin-topology.txt 837 B
  - 📄 rlhf-architecture-pb.png 991.9 KB
  - 📄 rlhf-architecture.png 80.8 KB
  - 📄 rlhf-architecture.txt 1.1 KB
- 📁 feature-requests/
  - 📄 amp-feedback-signal-hook.md 2.6 KB
- 📁 guides/
  - 📄 mcp-use-integration.md 2.9 KB
- 📁 marketing/
  - 📄 blog-gates-launch.md 6.9 KB
  - 📄 cold-outreach-sequence.md 2.2 KB
  - 📄 devto-article.md 6.4 KB
  - 📄 devto-blog-post.md 2.3 KB
  - 📄 LAUNCH_CONTENT.md 3.4 KB
  - 📄 mcp-directories.md 6.8 KB
  - 📄 pricing-comparison.md 433 B
  - 📄 product-hunt-launch.md 1.6 KB
  - 📄 reddit-claude-code-post.md 1.7 KB
  - 📄 reddit-posts.md 3.8 KB
  - 📄 show-hn-post.md 1.4 KB
  - 📄 show-hn.md 1.8 KB
  - 📄 social-posts.md 6.1 KB
  - 📄 twitter-launch-thread.md 1.9 KB
  - 📄 twitter-thread-formatted.md 1.6 KB
  - 📄 twitter-thread.md 2.1 KB
  - 📄 x-launch-thread.md 2.2 KB
- 📁 pitch/
  - 📄 agentic-commerce-thread.txt 1.5 KB
  - 📄 agentic-commerce.md 5.6 KB
- 📁 research/
  - 📄 agentic-commerce-march-2026.md 2.8 KB
- 📄 ANTHROPIC_MARKETPLACE_STRATEGY.md 2.0 KB
- 📄 AUTONOMOUS_GITOPS.md 1.8 KB
- 📄 COMMERCIAL_TRUTH.md 1.9 KB
- 📄 CONTEXTFS.md 1.3 KB
- 📄 geo-strategy-for-ai-agents.md 2.8 KB
- 📄 GO_TO_MARKET_REVENUE_WEDGE_2026-03.md 2.1 KB
- 📄 gpt-store-submission.md 6.8 KB
- 📄 INTENT_ROUTER.md 2.2 KB
- 📄 landing-page.html 25.9 KB
- 📄 logo-400x400.png 10.7 KB
- 📄 mcp-hub-submission.md 5.6 KB
- 📄 OUTREACH_TARGETS.md 2.0 KB
- 📄 PACKAGING_AND_SALES_PLAN.md 5.1 KB
- 📄 PAPERBANANA.md 911 B
- 📄 PITCH.md 2.4 KB
- 📄 PLATFORM_RESEARCH_2026-03-03.md 3.9 KB
- 📄 PLUGIN_DISTRIBUTION.md 2.2 KB
- 📄 PRICING_RESEARCH_2026-03-09.md 2.0 KB
- 📄 PRICING_RESEARCH_2026-03-10.md 3.6 KB
- 📄 REVENUE_SPRINT_MAR2026.md 17.1 KB
- 📄 TECHNICAL_DEBT_AUDIT.md 4.5 KB
- 📄 VERIFICATION_EVIDENCE.md 37.4 KB
- 📄 X_AUTOMATION_REPORT.md 1.5 KB
- 📄 X_AUTOMATION_STRATEGY.md 2.4 KB
📁 openapi/
- 📄 openapi.yaml 17.5 KB
📁 plugins/
- 📁 amp-skill/
  - 📄 INSTALL.md 1.2 KB
  - 📄 SKILL.md 2.1 KB
- 📁 claude-skill/
  - 📄 INSTALL.md 1.3 KB
  - 📄 SKILL.md 1.1 KB
- 📁 codex-profile/
  - 📄 AGENTS.md 476 B
  - 📄 INSTALL.md 1.3 KB
- 📁 gemini-extension/
  - 📄 gemini_prompt.txt 332 B
  - 📄 INSTALL.md 2.2 KB
  - 📄 tool_contract.json 854 B
📁 pro/
- 📄 constraints-pro.json 1.5 KB
- 📄 prevention-rules-pro.md 2.3 KB
- 📄 README.md 1.7 KB
- 📄 reminders-pro.json 1.6 KB
- 📄 thompson-presets.json 1.4 KB
📁 proof/
- 📁 automation/
  - 📄 report.json 14.6 KB
  - 📄 report.md 559 B
  - 📄 self-heal-run.json 2.7 KB
  - 📄 self-healing-health.json 3.7 KB
- 📁 compatibility/
  - 📄 report.json 3.7 KB
  - 📄 report.md 921 B
- 📁 governance/
  - 📄 3-01-budget-guard-contextfs-subway.md 3.4 KB
  - 📄 3-02-intent-router-subway.md 2.5 KB
- 📁 governance-into-subway/
  - 📄 gov-sync-report.md 5.0 KB
- 📁 subway-upgrades/
  - 📄 subway-upgrades-report.json 928 B
  - 📄 subway-upgrades-report.md 1.4 KB
- 📁 workflow-contract/
  - 📄 report.json 1.6 KB
  - 📄 report.md 383 B
- 📄 attribution-report.json 1.3 KB
- 📄 attribution-report.md 2.9 KB
- 📄 data-quality-report.json 700 B
- 📄 data-quality-report.md 828 B
- 📄 intelligence-report.json 673 B
- 📄 intelligence-report.md 1.3 KB
- 📄 lancedb-report.json 2.0 KB
- 📄 lancedb-report.md 3.9 KB
- 📄 local-intelligence-report.json 746 B
- 📄 local-intelligence-report.md 478 B
- 📄 loop-closure-report.json 896 B
- 📄 loop-closure-report.md 1.1 KB
- 📄 ml-features-report.md 4.8 KB
- 📄 rlaif-report.json 1.9 KB
- 📄 rlaif-report.md 4.0 KB
- 📄 rule-efficiency-report.json 4.9 KB
- 📄 training-export-report.json 1.1 KB
- 📄 training-export-report.md 1.5 KB
📁 public/
- 📄 index.html 26.9 KB
- 📄 vercel.json 146 B
📁 scripts/
- 📄 a2ui-engine.js 1.9 KB
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📁 skills/
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📁 src/
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📁 tests/
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📁 workers/
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📄 .env.paperbanana.example 165 B
📄 .gitignore 563 B
📄 .mcp.json.plugin 136 B
📄 AGENTS.md 4.0 KB
📄 CHANGELOG.md 2.6 KB
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📄 CONTRIBUTING.md 405 B
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📄 LICENSE 1.0 KB
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📄 package-lock.json 81.2 KB
📄 package.json 6.2 KB
📄 railway.json 344 B
📄 README.md 15.7 KB
📄 RELEASE.md 300 B
📄 SECURITY.md 1.0 KB
📄 server.json 853 B
📄 SKILL.md 1.6 KB
📄 smithery.yaml 559 B
📄 WORKFLOW.md 3.6 KB

SKILL.md

---
name: mcp-memory-gateway
description: The Agentic Feedback Studio & Veto Layer. Persistent agent memory, high-density context packs, and Agentic Guardrails (V2V) for Claude Code, Codex, and Gemini.
---

# Agentic Feedback Studio Skill

This skill provides a production-grade **Agentic Control Plane** for AI workflows. It allows the agent to learn from user vibes in real-time and enforce verifiable guardrails.

## Capabilities
- **Vibe-to-Verification (V2V)**: Records up/down signals and converts them into repository-level architectural constraints (The Veto Layer).
- **Agentic Guardrails**: Automatically generates and enforces `CLAUDE.md` / `AGENTS.md` rules derived from recurring failure modes.
- **Context Engineering**: Packages high-density proprietary knowledge into "Context Packs" for improved agent reliability.
- **RLHF Dataset Engineering**: Exports preference pairs (Chosen vs. Rejected) for model fine-tuning.

## Activation
The model should activate this skill whenever:
1. The user provides explicit feedback (e.g., "thumbs down", "that's wrong", "good job").
2. The user identifies a repeated mistake.
3. The user asks for a summary of agent performance or "what have you learned?"
4. The agent needs to verify a high-risk action against existing prevention rules.

## Commands
- `capture`: Capture new signal.
- `summary`: Get performance analytics.
- `rules`: Sync prevention rules to the repo.
- `export-dpo`: Generate training data.

## Environment Requirements
- Requires access to the local filesystem to read/write feedback logs in `.rlhf/` or `~/.rlhf/`.
- Requires MCP (Model Context Protocol) support for tool execution.

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