Xpersona

Crawler Summary

megamemory answer-first brief

MCP server that gives coding agents persistent project understanding via a knowledge graph <p align="center"> <h1 align="center">MegaMemory</h1> </p> <p align="center">Persistent project knowledge graph for coding agents.</p> <p align="center"> <a href="https://www.npmjs.com/package/megamemory"><img alt="npm" src="https://img.shields.io/npm/v/megamemory?style=flat-square" /></a> <a href="./LICENSE"><img alt="license" src="https://img.shields.io/npm/l/megamemory?style=flat-square" /></a> <a href="https://no Capability contract not published. No trust telemetry is available yet. 47 GitHub stars reported by the source. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

megamemory is best for mcp, knowledge-graph, coding-agent 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 89/100

megamemory

MCP server that gives coding agents persistent project understanding via a knowledge graph <p align="center"> <h1 align="center">MegaMemory</h1> </p> <p align="center">Persistent project knowledge graph for coding agents.</p> <p align="center"> <a href="https://www.npmjs.com/package/megamemory"><img alt="npm" src="https://img.shields.io/npm/v/megamemory?style=flat-square" /></a> <a href="./LICENSE"><img alt="license" src="https://img.shields.io/npm/l/megamemory?style=flat-square" /></a> <a href="https://no

MCPself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals47 GitHub stars

Capability contract not published. No trust telemetry is available yet. 47 GitHub stars reported by the source. Last updated 2/25/2026.

47 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 25, 2026

Vendor

0xk3vin

Artifacts

0

Benchmarks

0

Last release

1.4.0

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. 47 GitHub stars reported by the source. Last updated 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/0xK3vin/MegaMemory.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

0xk3vin

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

Protocol compatibility

MCP

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

Adoption signal

47 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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

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

bash

npm install -g megamemory

bash

megamemory install

bash

megamemory install --target opencode

bash

megamemory install --target claudecode

bash

megamemory install --target antigravity

json

{
  "megamemory": {
    "type": "local",
    "command": ["megamemory"],
    "enabled": true
  }
}

Docs & README

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

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

MCP server that gives coding agents persistent project understanding via a knowledge graph <p align="center"> <h1 align="center">MegaMemory</h1> </p> <p align="center">Persistent project knowledge graph for coding agents.</p> <p align="center"> <a href="https://www.npmjs.com/package/megamemory"><img alt="npm" src="https://img.shields.io/npm/v/megamemory?style=flat-square" /></a> <a href="./LICENSE"><img alt="license" src="https://img.shields.io/npm/l/megamemory?style=flat-square" /></a> <a href="https://no

Full README
<p align="center"> <h1 align="center">MegaMemory</h1> </p> <p align="center">Persistent project knowledge graph for coding agents.</p> <p align="center"> <a href="https://www.npmjs.com/package/megamemory"><img alt="npm" src="https://img.shields.io/npm/v/megamemory?style=flat-square" /></a> <a href="./LICENSE"><img alt="license" src="https://img.shields.io/npm/l/megamemory?style=flat-square" /></a> <a href="https://nodejs.org"><img alt="node" src="https://img.shields.io/node/v/megamemory?style=flat-square" /></a> <a href="https://www.npmjs.com/package/megamemory"><img alt="npm downloads" src="https://img.shields.io/npm/dm/megamemory?style=flat-square" /></a> <a href="https://x.com/M3ruH4sh"><img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/M3ruH4sh?style=social" /></a> </p> <p align="center"> <img src="./assets/preview.png" alt="MegaMemory web explorer" width="800" /> </p>

An MCP server that lets your coding agent build and query a graph of concepts, architecture, and decisions — so it remembers across sessions.

The LLM is the indexer. No AST parsing. No static analysis. Your agent reads code, writes concepts in its own words, and queries them before future tasks. The graph stores concepts — features, modules, patterns, decisions — not code symbols.

The Loop

<p align="center"> <img src="./assets/how-it-works.svg" alt="How MegaMemory works" width="800" /> </p>

understand → work → update

  1. Session start — agent calls list_roots to orient itself
  2. Before a task — agent calls understand with a natural language query
  3. After a task — agent calls create_concept or update_concept to record what it built

Everything persists in a per-project SQLite database at .megamemory/knowledge.db.

Installation

npm install -g megamemory

[!NOTE] Requires Node.js >= 18. The embedding model (~23MB) downloads automatically on first use.

Quick Start

megamemory install

Run the interactive installer and choose your editor:

With opencode

megamemory install --target opencode

One command configures:

  • MCP server in ~/.config/opencode/opencode.json
  • Workflow instructions in ~/.config/opencode/AGENTS.md
  • Skill tool plugin at ~/.config/opencode/tool/megamemory.ts
  • Bootstrap command /user:bootstrap-memory for initial graph population
  • Save command /user:save-memory to persist session knowledge

Restart opencode after running install.

With Claude Code

megamemory install --target claudecode

Configures:

  • MCP server in ~/.claude.json
  • Workflow instructions in ~/.claude/CLAUDE.md
  • Commands in ~/.claude/commands/

With Antigravity

megamemory install --target antigravity

Configures:

  • MCP server in ./mcp_config.json (workspace-level)

With other MCP clients

Add megamemory as a stdio MCP server. The command is just megamemory (no arguments). It reads/writes .megamemory/knowledge.db relative to the working directory, or set MEGAMEMORY_DB_PATH to override.

{
  "megamemory": {
    "type": "local",
    "command": ["megamemory"],
    "enabled": true
  }
}

MCP Tools

| Tool | Description | |------|-------------| | understand | Semantic search over the knowledge graph. Returns matched concepts with children, edges, and parent context. | | create_concept | Add a new concept with optional edges and file references. | | update_concept | Update fields on an existing concept. Regenerates embeddings automatically. | | link | Create a typed relationship between two concepts. | | remove_concept | Soft-delete a concept with a reason. History preserved. | | list_roots | List all top-level concepts with direct children. | | list_conflicts | List unresolved merge conflicts grouped by merge group. | | resolve_conflict | Resolve a merge conflict by providing verified, correct content based on the current codebase. |

Concept kinds: feature · module · pattern · config · decision · component

Relationship types: connects_to · depends_on · implements · calls · configured_by

Knowledge Graph

<p align="center"> <img src="./assets/knowledge-graph.svg" alt="MegaMemory knowledge graph example" width="800" /> </p>

Web Explorer

Visualize the knowledge graph in your browser:

megamemory serve
  • Nodes are colored by kind and sized by edge count
  • Dashed edges show parent-child links; solid edges show relationships
  • Click any node to inspect summary, files, and edges
  • Search supports highlight/dim filtering
  • If port 4321 is taken, you'll be prompted to pick another
megamemory serve --port 8080   # custom port

How It Works

<p align="center"> <img src="./assets/architecture.svg" alt="MegaMemory architecture diagram" width="800" /> </p> 
src/
  index.ts       CLI entry + MCP server (8 tools)
  tools.ts       Tool handlers (understand, create, update, link, remove, list_conflicts, resolve_conflict)
  db.ts          SQLite persistence (libsql, WAL mode, schema v3)
  embeddings.ts  In-process embeddings (all-MiniLM-L6-v2, 384 dims)
  merge.ts       Two-way merge engine for knowledge.db files
  merge-cli.ts   CLI handlers for merge, conflicts, resolve commands
  types.ts       TypeScript types
  cli-utils.ts   Colored output + interactive prompts
  install.ts     multi-target installer (opencode, Claude Code, Antigravity)
  web.ts         HTTP server for graph explorer
plugin/
  megamemory.ts  Opencode skill tool plugin
commands/
  bootstrap-memory.md  /user command for initial population
  save-memory.md       /user command to save session knowledge
web/
  index.html     Single-file graph visualization (d3-force + Canvas)
  • Embeddings — In-process via Xenova/all-MiniLM-L6-v2 (ONNX, quantized). No API keys, and no network calls after the first model download.
  • Storage — SQLite with WAL mode, soft-delete history, and schema migrations (currently v3).
  • Search — Brute-force cosine similarity over node embeddings; fast enough for graphs with <10k nodes.
  • Merge — Two-way merge with conflict detection by concept ID, with AI-assisted conflict resolution via MCP tools.

CLI Commands

| Command | Description | |---------|-------------| | megamemory | Start the MCP stdio server | | megamemory install | Configure editor/agent integration | | megamemory serve | Launch the web graph explorer | | megamemory merge | Merge two knowledge.db files | | megamemory conflicts | List unresolved merge conflicts | | megamemory resolve | Resolve a merge conflict | | megamemory --help | Show help | | megamemory --version | Show version |

Merging Knowledge Graphs

When branches diverge, each may update .megamemory/knowledge.db independently. Since SQLite files cannot be auto-merged by git, megamemory provides dedicated merge commands.

Merge two databases

megamemory merge main.db feature.db --into merged.db

Concepts are compared by ID: identical nodes are deduplicated, and conflicting nodes are kept as ::left/::right variants under one merge group UUID. Use --left-label and --right-label to replace default side labels with branch names.

megamemory merge main.db feature.db --into merged.db --left-label main --right-label feature-xyz

View conflicts

megamemory conflicts            # human-readable summary
megamemory conflicts --json     # machine-readable output
megamemory conflicts --db path  # specify database path

Resolve conflicts manually

megamemory resolve <merge-group-uuid> --keep left    # keep the left version
megamemory resolve <merge-group-uuid> --keep right   # keep the right version
megamemory resolve <merge-group-uuid> --keep both    # keep both as separate concepts

AI-assisted resolution

When an AI agent runs /merge, it calls list_conflicts, verifies both versions against current source files, then calls resolve_conflict with resolved: {summary, why?, file_refs?} plus a verification reason. It does not pick a side blindly; it resolves to what the codebase currently reflects.

License

MIT

Contract & API

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

MissingGITHUB MCP

Endpoints

Dossier APISnapshot APIContract APITrust API

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-0xk3vin-megamemory/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/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
Agent hubMore from this sourceMCP agents
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-0xk3vin-megamemory/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T04:10:21.157Z"
    }
  },
  "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": "knowledge-graph",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "coding-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "persistent-memory",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "opencode",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "llm",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "sqlite",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "embeddings",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai",
      "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:knowledge-graph|supported|profile capability:coding-agent|supported|profile capability:persistent-memory|supported|profile capability:opencode|supported|profile capability:llm|supported|profile capability:sqlite|supported|profile capability:embeddings|supported|profile capability:ai|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": "0xk3vin",
    "href": "https://github.com/0xK3vin/MegaMemory#readme",
    "sourceUrl": "https://github.com/0xK3vin/MegaMemory#readme",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:23:17.098Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:23:17.098Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "47 GitHub stars",
    "href": "https://github.com/0xK3vin/MegaMemory",
    "sourceUrl": "https://github.com/0xK3vin/MegaMemory",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:23:17.098Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-0xk3vin-megamemory/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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Ads related to megamemory and adjacent AI workflows.