Crawler Summary

memorix answer-first brief

Cross-Agent Memory Bridge — Persistent memory for AI coding agents across Cursor, Windsurf, Claude Code, Codex, Copilot, Kiro via MCP. <p align="center"> <img src="assets/logo.png" alt="Memorix Logo" width="120"> <h1 align="center">Memorix</h1> <p align="center"><strong>Cross-Agent Memory Bridge — Your AI never forgets again</strong></p> <p align="center"><a href="README.zh-CN.md">中文文档</a> | English</p> <p align="center"> <a href="https://www.npmjs.com/package/memorix"><img src="https://img.shields.io/npm/v/memorix.svg?style=flat-square&color=cb3837 Capability contract not published. No trust telemetry is available yet. 63 GitHub stars reported by the source. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

memorix is best for mcp, mcp-server, model-context-protocol workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB MCP, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 100/100

memorix

Cross-Agent Memory Bridge — Persistent memory for AI coding agents across Cursor, Windsurf, Claude Code, Codex, Copilot, Kiro via MCP. <p align="center"> <img src="assets/logo.png" alt="Memorix Logo" width="120"> <h1 align="center">Memorix</h1> <p align="center"><strong>Cross-Agent Memory Bridge — Your AI never forgets again</strong></p> <p align="center"><a href="README.zh-CN.md">中文文档</a> | English</p> <p align="center"> <a href="https://www.npmjs.com/package/memorix"><img src="https://img.shields.io/npm/v/memorix.svg?style=flat-square&color=cb3837

MCPself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals63 GitHub stars

Capability contract not published. No trust telemetry is available yet. 63 GitHub stars reported by the source. Last updated 2/25/2026.

63 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 25, 2026

Vendor

Avids2

Artifacts

0

Benchmarks

0

Last release

0.9.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 63 GitHub stars reported by the source. Last updated 2/25/2026.

Setup snapshot

git clone https://github.com/AVIDS2/memorix.git
  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Avids2

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP

contractmedium
Observed Feb 25, 2026Source linkProvenance
Adoption (1)

Adoption signal

63 GitHub stars

profilemedium
Observed Feb 25, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Executable Examples

json

{
  "mcpServers": {
    "memorix": {
      "command": "npx",
      "args": ["-y", "memorix@latest", "serve"]
    }
  }
}

json

{
  "mcpServers": {
    "memorix": {
      "command": "npx",
      "args": ["-y", "memorix@latest", "serve"],
      "env": {
        "MEMORIX_PROJECT_ROOT": "E:/your/project/path"
      }
    }
  }
}

text

Monday morning — You and Cursor discuss auth architecture:
  You: "Let's use JWT with refresh tokens, 15-minute expiry"
  → Memorix auto-stores this as a 🟤 decision

Tuesday — New Cursor session:
  You: "Add the login endpoint"
  → AI calls memorix_search("auth") → finds Monday's decision
  → "Got it, I'll implement JWT with 15-min refresh tokens as we decided"
  → Zero re-explaining!

text

You use Windsurf for backend, Claude Code for reviews:

  Windsurf: You fix a tricky race condition in the payment module
  → Memorix stores it as a 🟡 problem-solution with the fix details

  Claude Code: "Review the payment module"
  → AI calls memorix_search("payment") → finds the race condition fix
  → "I see there was a recent race condition fix. Let me verify it's correct..."
  → Knowledge transfers seamlessly between agents!

text

Week 1: You hit a painful Windows path separator bug
  → Memorix stores it as a 🔴 gotcha: "Use path.join(), never string concat"

Week 3: AI is about to write `baseDir + '/' + filename`
  → Session-start hook injected the gotcha into context
  → AI writes `path.join(baseDir, filename)` instead
  → Bug prevented before it happened!

text

You have 12 MCP servers configured in Cursor.
Now you want to try Kiro.

  You: "Sync my workspace to Kiro"
  → memorix_workspace_sync scans Cursor's MCP configs
  → Generates Kiro-compatible .kiro/settings/mcp.json
  → Also syncs your rules, skills, and workflows
  → Kiro is ready in seconds, not hours!

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Cross-Agent Memory Bridge — Persistent memory for AI coding agents across Cursor, Windsurf, Claude Code, Codex, Copilot, Kiro via MCP. <p align="center"> <img src="assets/logo.png" alt="Memorix Logo" width="120"> <h1 align="center">Memorix</h1> <p align="center"><strong>Cross-Agent Memory Bridge — Your AI never forgets again</strong></p> <p align="center"><a href="README.zh-CN.md">中文文档</a> | English</p> <p align="center"> <a href="https://www.npmjs.com/package/memorix"><img src="https://img.shields.io/npm/v/memorix.svg?style=flat-square&color=cb3837

Full README
<p align="center"> <img src="assets/logo.png" alt="Memorix Logo" width="120"> <h1 align="center">Memorix</h1> <p align="center"><strong>Cross-Agent Memory Bridge — Your AI never forgets again</strong></p> <p align="center"><a href="README.zh-CN.md">中文文档</a> | English</p> <p align="center"> <a href="https://www.npmjs.com/package/memorix"><img src="https://img.shields.io/npm/v/memorix.svg?style=flat-square&color=cb3837" alt="npm version"></a> <a href="https://www.npmjs.com/package/memorix"><img src="https://img.shields.io/npm/dm/memorix.svg?style=flat-square&color=blue" alt="npm downloads"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-Apache%202.0-green.svg?style=flat-square" alt="License"></a> <a href="https://github.com/AVIDS2/memorix"><img src="https://img.shields.io/github/stars/AVIDS2/memorix?style=flat-square&color=yellow" alt="GitHub stars"></a> <img src="https://img.shields.io/badge/tests-422%20passed-brightgreen?style=flat-square" alt="Tests"> </p> <p align="center"> <img src="https://img.shields.io/badge/Works%20with-Cursor-orange?style=flat-square" alt="Cursor"> <img src="https://img.shields.io/badge/Works%20with-Windsurf-blue?style=flat-square" alt="Windsurf"> <img src="https://img.shields.io/badge/Works%20with-Claude%20Code-purple?style=flat-square" alt="Claude Code"> <img src="https://img.shields.io/badge/Works%20with-Codex-green?style=flat-square" alt="Codex"> <img src="https://img.shields.io/badge/Works%20with-Copilot-lightblue?style=flat-square" alt="Copilot"> <img src="https://img.shields.io/badge/Works%20with-Kiro-red?style=flat-square" alt="Kiro"> <img src="https://img.shields.io/badge/Works%20with-Antigravity-grey?style=flat-square" alt="Antigravity"> </p> <p align="center"> <a href="#-stop-re-explaining-your-project">Why</a> • <a href="#-get-started-in-30-seconds">Quick Start</a> • <a href="#-real-world-scenarios">Scenarios</a> • <a href="#-what-memorix-can-do">Features</a> • <a href="#-comparison-with-alternatives">Compare</a> • <a href="docs/SETUP.md">Full Setup Guide</a> </p> </p>

😤 Stop Re-Explaining Your Project

Your AI assistant forgets everything when you start a new chat. You spend 10 minutes re-explaining your architecture. Again. And if you switch from Cursor to Claude Code? Everything is gone. Again.

| Without Memorix | With Memorix | |-----------------|--------------| | Session 2: "What's our tech stack?" | Session 2: "I remember — Next.js with Prisma and tRPC. What should we build next?" | | Switch IDE: All context lost | Switch IDE: Context follows you instantly | | New team member's AI: Starts from zero | New team member's AI: Already knows the codebase | | After 50 tool calls: Context explodes, restart needed | After restart: Picks up right where you left off | | MCP configs: Copy-paste between 7 IDEs manually | MCP configs: One command syncs everything |

Memorix solves all of this. One MCP server. Seven agents. Zero context loss.


⚡ Get Started in 30 Seconds

Add this to your agent's MCP config file, restart — done:

{
  "mcpServers": {
    "memorix": {
      "command": "npx",
      "args": ["-y", "memorix@latest", "serve"]
    }
  }
}

📖 Where is my config file?Full setup guide for all 7 agents Windsurf • Cursor • Claude Code • Codex • VS Code Copilot • Kiro • Antigravity

That's it. No API keys. No cloud accounts. No dependencies. Just works.

<details> <summary>⚠️ <strong>Antigravity users: extra config required</strong></summary>

Antigravity sets its working directory to its own install path (e.g., G:\Antigravity) instead of your project directory, and does not support the MCP roots protocol. You must add MEMORIX_PROJECT_ROOT:

{
  "mcpServers": {
    "memorix": {
      "command": "npx",
      "args": ["-y", "memorix@latest", "serve"],
      "env": {
        "MEMORIX_PROJECT_ROOT": "E:/your/project/path"
      }
    }
  }
}

You'll need to update MEMORIX_PROJECT_ROOT when switching projects. All other IDEs work without this.

</details>

🎬 Real-World Scenarios

Scenario 1: Cross-Session Memory

Monday morning — You and Cursor discuss auth architecture:
  You: "Let's use JWT with refresh tokens, 15-minute expiry"
  → Memorix auto-stores this as a 🟤 decision

Tuesday — New Cursor session:
  You: "Add the login endpoint"
  → AI calls memorix_search("auth") → finds Monday's decision
  → "Got it, I'll implement JWT with 15-min refresh tokens as we decided"
  → Zero re-explaining!

Scenario 2: Cross-Agent Collaboration

You use Windsurf for backend, Claude Code for reviews:

  Windsurf: You fix a tricky race condition in the payment module
  → Memorix stores it as a 🟡 problem-solution with the fix details

  Claude Code: "Review the payment module"
  → AI calls memorix_search("payment") → finds the race condition fix
  → "I see there was a recent race condition fix. Let me verify it's correct..."
  → Knowledge transfers seamlessly between agents!

Scenario 3: Gotcha Prevention

Week 1: You hit a painful Windows path separator bug
  → Memorix stores it as a 🔴 gotcha: "Use path.join(), never string concat"

Week 3: AI is about to write `baseDir + '/' + filename`
  → Session-start hook injected the gotcha into context
  → AI writes `path.join(baseDir, filename)` instead
  → Bug prevented before it happened!

Scenario 4: Workspace Sync Across IDEs

You have 12 MCP servers configured in Cursor.
Now you want to try Kiro.

  You: "Sync my workspace to Kiro"
  → memorix_workspace_sync scans Cursor's MCP configs
  → Generates Kiro-compatible .kiro/settings/mcp.json
  → Also syncs your rules, skills, and workflows
  → Kiro is ready in seconds, not hours!

Scenario 5: Auto-Generated Project Skills

After 2 weeks of development, you have 50+ observations:
  - 8 gotchas about Windows path issues
  - 5 decisions about the auth module
  - 3 problem-solutions for database migrations

  You: "Generate project skills"
  → memorix_skills clusters observations by entity
  → Auto-generates SKILL.md files:
    - "auth-module-guide.md" — JWT setup, refresh flow, common pitfalls
    - "database-migrations.md" — Prisma patterns, rollback strategies
  → Syncs skills to any agent: Cursor, Claude Code, Kiro...
  → New team members' AI instantly knows your project's patterns!

Scenario 6: Session Lifecycle (v0.8.0)

Morning — Start a new session in Windsurf:
  → memorix_session_start auto-injects:
    📋 Previous Session: "Implemented JWT auth middleware"
    🔴 JWT tokens expire silently (gotcha)
    🟤 Use Docker for deployment (decision)
  → AI instantly knows what you did yesterday!

Evening — End the session:
  → memorix_session_end saves structured summary
  → Next session (any agent!) gets this context automatically

Scenario 7: Topic Key Upsert — No More Duplicates (v0.8.0)

You update your architecture decision 3 times over a week:

  Day 1: memorix_store(topicKey="architecture/auth-model", ...)
  → Creates observation #42 (rev 1)

  Day 3: memorix_store(topicKey="architecture/auth-model", ...)
  → Updates #42 in-place (rev 2) — NOT a new #43!

  Day 5: memorix_store(topicKey="architecture/auth-model", ...)
  → Updates #42 again (rev 3)

  Result: 1 observation with latest content, not 3 duplicates!

🧠 What Memorix Can Do

Smart Memory (24 MCP Tools)

| What You Say | What Memorix Does | |-------------|-------------------| | "Remember this architecture decision" | memorix_store — Classifies as 🟤 decision, extracts entities, creates graph relations, auto-associates session | | "What did we decide about auth?" | memorix_searchmemorix_detail — 3-layer progressive disclosure, ~10x token savings | | "What auth decisions last week?" | memorix_search with since/until — Temporal queries with date range filtering | | "What happened around that bug fix?" | memorix_timeline — Shows chronological context before/after | | "Show me the knowledge graph" | memorix_dashboard — Opens interactive web UI with D3.js graph + sessions panel | | "Which memories are getting stale?" | memorix_retention — Exponential decay scores, identifies archive candidates | | "Start a new session" | memorix_session_start — Tracks session lifecycle, auto-injects previous session summaries + key memories | | "End this session" | memorix_session_end — Saves structured summary (Goal/Discoveries/Accomplished/Files) for next session | | "What did we do last session?" | memorix_session_context — Retrieves session history and key observations | | "Suggest a topic key for this" | memorix_suggest_topic_key — Generates stable keys for deduplication (e.g. architecture/auth-model) | | "Clean up duplicate memories" | memorix_consolidate — Find & merge similar observations by text similarity, preserving all facts | | "Export this project's memories" | memorix_export — JSON (importable) or Markdown (human-readable for PRs/docs) | | "Import memories from teammate" | memorix_import — Restore from JSON export, re-assigns IDs, deduplicates by topicKey |

Cross-Agent Workspace Sync

| What You Say | What Memorix Does | |-------------|-------------------| | "Sync my MCP servers to Kiro" | memorix_workspace_sync — Migrates configs, merges (never overwrites) | | "Check my agent rules" | memorix_rules_sync — Scans 7 agents, deduplicates, detects conflicts | | "Generate rules for Cursor" | memorix_rules_sync — Cross-format conversion (.mdcCLAUDE.md.kiro/steering/) | | "Generate project skills" | memorix_skills — Creates SKILL.md from observation patterns | | "Inject the auth skill" | memorix_skills — Returns skill content directly into agent context |

Knowledge Graph (MCP Official Compatible)

| Tool | What It Does | |------|-------------| | create_entities | Build your project's knowledge graph | | create_relations | Connect entities with typed edges (causes, fixes, depends_on) | | add_observations | Attach observations to entities | | search_nodes / open_nodes | Query the graph | | read_graph | Export full graph for visualization |

Drop-in compatible with MCP Official Memory Server — same API, more features.

9 Observation Types

Every memory is classified for intelligent retrieval:

| Icon | Type | When To Use | |------|------|-------------| | 🎯 | session-request | Original task/goal for this session | | 🔴 | gotcha | Critical pitfall — "Never do X because Y" | | 🟡 | problem-solution | Bug fix with root cause and solution | | 🔵 | how-it-works | Technical explanation of a system | | 🟢 | what-changed | Code/config change record | | 🟣 | discovery | New insight or finding | | 🟠 | why-it-exists | Rationale behind a design choice | | 🟤 | decision | Architecture/design decision | | ⚖️ | trade-off | Compromise with pros/cons |

Visual Dashboard

Run memorix_dashboard to open a web UI at http://localhost:3210:

  • Interactive Knowledge Graph — D3.js force-directed visualization of entities and relations
  • Observation Browser — Filter by type, search with highlighting, expand/collapse details
  • Retention Panel — See which memories are active, stale, or candidates for archival
  • Project Switcher — View any project's data without switching IDEs
  • Batch Cleanup — Auto-detect and bulk-delete low-quality observations
  • Light/Dark Theme — Premium glassmorphism design, bilingual (EN/中文)

Auto-Memory Hooks

Memorix can automatically capture decisions, errors, and gotchas from your coding sessions:

memorix hooks install    # One-command setup
  • Implicit Memory — Detects patterns like "I decided to...", "The bug was caused by...", "Never use X"
  • Session Start Injection — Loads recent high-value memories into agent context automatically
  • Multi-Language — English + Chinese keyword matching
  • Smart Filtering — 30s cooldown, skips trivial commands (ls, cat, pwd)

📊 Comparison with Alternatives

| | Mem0 | mcp-memory-service | claude-mem | Memorix | |---|---|---|---|---| | Agents supported | SDK-based | 13+ (MCP) | Claude Code only | 7 IDEs (MCP) | | Cross-agent sync | No | No | No | Yes (configs, rules, skills, workflows) | | Rules sync | No | No | No | Yes (7 formats) | | Skills engine | No | No | No | Yes (auto-generated from memory) | | Knowledge graph | No | Yes | No | Yes (MCP Official compatible) | | Hybrid search | No | Yes | No | Yes (BM25 + vector) | | Token-efficient | No | No | Yes (3-layer) | Yes (3-layer progressive disclosure) | | Auto-memory hooks | No | No | Yes | Yes (multi-language) | | Memory decay | No | Yes | No | Yes (exponential + immunity) | | Visual dashboard | Cloud UI | Yes | No | Yes (web UI + D3.js graph) | | Privacy | Cloud | Local | Local | 100% Local | | Cost | Per-call API | $0 | $0 | $0 | | Install | pip install | pip install | Built into Claude | npx memorix serve |

Memorix is the only tool that bridges memory AND workspace across agents.


🔮 Optional: Vector Search

Out of the box, Memorix uses BM25 full-text search (already great for code). Add semantic search with one command:

# Option A: Native speed (recommended)
npm install -g fastembed

# Option B: Universal compatibility
npm install -g @huggingface/transformers

With vector search, queries like "authentication" also match memories about "login flow" via semantic similarity. Both run 100% locally — zero API calls, zero cost.


🔒 Project Isolation

  • Auto-detected — Project identity from git remote URL, zero config needed
  • MCP roots fallback — If cwd is not a project (e.g., Antigravity), Memorix tries the MCP roots protocol to get your workspace path from the IDE
  • Per-project storage~/.memorix/data/<owner--repo>/ per project
  • Scoped search — Defaults to current project; scope: "global" to search all
  • Zero cross-contamination — Project A's decisions never leak into project B

Detection priority: --cwdMEMORIX_PROJECT_ROOTINIT_CWDprocess.cwd() → MCP roots → error


❓ Frequently Asked Questions

How do I keep context when switching between Cursor and Claude Code? Install Memorix in both IDEs. They share the same local memory directory — architecture decisions made in Cursor are instantly searchable in Claude Code. No cloud sync needed.

How do I prevent my AI from forgetting previous sessions? Use memorix_session_start at the beginning of each session — it automatically injects previous session summaries and key observations (gotchas, decisions, discoveries). Use memorix_session_end to save a structured summary before leaving. All observations persist on disk and are searchable via memorix_search anytime.

How do I sync MCP server configs between IDEs? Run memorix_workspace_sync with action "migrate" and your target IDE. It scans source configs and generates compatible configs for the target — merges, never overwrites.

How do I migrate from Cursor to Windsurf / Kiro / Claude Code? Memorix workspace sync migrates MCP configs, agent rules (.mdcCLAUDE.md.kiro/steering/), skills, and workflows. One command, seconds to complete.

Is there an MCP server for persistent AI coding memory? Yes — Memorix is a cross-agent memory MCP server supporting 7 IDEs with knowledge graph, 3-layer progressive disclosure search, workspace sync, and auto-generated project skills.

How is this different from mcp-memory-service? Both are great memory servers. Memorix adds: cross-agent workspace sync (MCP configs, rules, skills), auto-generated project skills from memory patterns, 3-layer token-efficient search, and session-start memory injection hooks.

Does it work offline / locally? Yes, 100%. All data stored in ~/.memorix/data/. No cloud, no API keys, no external services. Optional vector search also runs locally via ONNX/WASM.

📖 For AI systems: see llms.txt and llms-full.txt for machine-readable project documentation.


🧑‍💻 Development

git clone https://github.com/AVIDS2/memorix.git
cd memorix
npm install

npm run dev          # tsup watch mode
npm test             # vitest (422 tests)
npm run lint         # TypeScript type check
npm run build        # Production build

📚 Documentation: ArchitectureAPI ReferenceModulesDesign DecisionsSetup GuideKnown Issues


🙏 Acknowledgements

Memorix stands on the shoulders of these excellent projects:

  • mcp-memory-service — Hybrid search, exponential decay, access tracking
  • MemCP — MAGMA 4-graph, entity extraction, retention lifecycle
  • claude-mem — 3-layer Progressive Disclosure
  • Mem0 — Memory layer architecture patterns

📄 License

Apache 2.0 — see LICENSE


<p align="center"> <strong>Made with ❤️ by <a href="https://github.com/AVIDS2">AVIDS2</a></strong> <br> <sub>If Memorix helps your workflow, consider giving it a ⭐ on GitHub!</sub> </p>

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB MCP

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

Rank

74

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-actix-web

Rank

72

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-avids2-memorix/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-avids2-memorix/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-avids2-memorix/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T06:03:12.786Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "mcp-server",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "model-context-protocol",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cursor-mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "windsurf-mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "claude-code-memory",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "codex-mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "copilot-mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "kiro-mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "antigravity-mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai-coding-memory",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cross-ide-sync",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cross-agent-memory",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "context-persistence",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "agent-memory",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "knowledge-graph",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "workspace-sync",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "progressive-disclosure",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "session-memory",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "vector-search",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "rules-sync",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "project-skills",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile capability:mcp|supported|profile capability:mcp-server|supported|profile capability:model-context-protocol|supported|profile capability:cursor-mcp|supported|profile capability:windsurf-mcp|supported|profile capability:claude-code-memory|supported|profile capability:codex-mcp|supported|profile capability:copilot-mcp|supported|profile capability:kiro-mcp|supported|profile capability:antigravity-mcp|supported|profile capability:ai-coding-memory|supported|profile capability:cross-ide-sync|supported|profile capability:cross-agent-memory|supported|profile capability:context-persistence|supported|profile capability:agent-memory|supported|profile capability:knowledge-graph|supported|profile capability:workspace-sync|supported|profile capability:progressive-disclosure|supported|profile capability:session-memory|supported|profile capability:vector-search|supported|profile capability:rules-sync|supported|profile capability:project-skills|supported|profile capability:cli|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Avids2",
    "href": "https://github.com/AVIDS2/memorix#readme",
    "sourceUrl": "https://github.com/AVIDS2/memorix#readme",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:04:09.602Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:04:09.602Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "63 GitHub stars",
    "href": "https://github.com/AVIDS2/memorix",
    "sourceUrl": "https://github.com/AVIDS2/memorix",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:04:09.602Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-avids2-memorix/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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