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  1. Home
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  3. Kage
  4. vs Projectmem
Side-by-Side Model Context Protocol Comparison

Kage vs Projectmem

In-depth architectural comparison of the Kage and Projectmem MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Kage
Knowledge & Memory · Local stdio
Quality: 64/100 (Good) | Auth: No auth required
Projectmem
Knowledge & Memory · Local stdio
Quality: 60/100 (Good) | Auth: No auth required
Verdict Summary: Choose Kage if you need specialized Knowledge & Memory tools running via a local process. Choose Projectmem if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Kage logo

Choose Kage when:

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer local stdio subprocess transport architecture.
  • Your security boundary fits: No auth required (Free / Open Source).
  • Primary tools included: kage_context, kage_risk, kage_dependency_path.
Explore Kage Details
Projectmem logo

Choose Projectmem when:

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer local stdio subprocess transport architecture.
  • Your security boundary fits: No auth required (Free / Open Source).
  • Primary tools included: Local Markdown and JSONL memory, Typed event records for issues and decisions, MCP access for coding agents.
Explore Projectmem Details

Feature & Specification Comparison

Specification
Kage logo
Kage
kage-core
Knowledge & Memory
Projectmem logo
Projectmem
riponcm
Knowledge & Memory
Summary
Category & ScopeKnowledge & MemoryKnowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Kage Tools (11)

kage_context
Primary kage entry point. Validates memory health, recalls relevant packets, and queries both the code graph and knowledge graph — all in one call. Call this at the start of every task; it answers caller/usage questions from the code graph too, so you rarely need a separate graph tool.
kage_risk
Assess modification risk for files using Kage's code graph plus local git history: dependents, impact surface, churn, ownership, co-change partners, and test gaps. Use before editing hotspot or shared files.
kage_dependency_path
Find how two files are connected in Kage's source-derived code graph. Reports direct dependency direction, reverse impact direction, or undirected graph connection.
kage_decisions
Summarize the repo's 'why' memory at a glance: the decisions, gotchas, runbooks, conventions, and code explanations Kage has captured, plus which high-traffic code paths still have no decision memory. Use it to brief yourself on a repo before changing it, or to audit where institutional knowledge is thin or going stale. Read-only: returns grouped entries with titles, types, cited file paths, and call-outs for weak, stale, or undocumented hot paths. Does not modify any memory.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Kage Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "kage-core-kage": {
      "command": "npx",
      "args": [
        "-y",
        "@kage-core/kage-graph-mcp"
      ]
    }
  }
}
Projectmem Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "riponcm-projectmem": {
      "command": "uvx",
      "args": [
        "projectmem"
      ]
    }
  }
}

Frequently Asked Questions

Kage is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Projectmem belongs to Knowledge & Memory using local stdio subprocess. Select Kage when you need capabilities focused on knowledge & memory and Projectmem when you require tools for knowledge & memory.

More alternatives to KageMore alternatives to ProjectmemKnowledge & Memory category hub

Related MCP Server Comparisons

Popular comparisons with Kage

  • Moxie Docs MCP logoKage vs Moxie Docs MCP
  • Scrivener MCP logoKage vs Scrivener MCP
  • Codebase Memory MCP logoKage vs Codebase Memory MCP
  • Krimto logoKage vs Krimto

Popular comparisons with Projectmem

64/100 (Good)
60/100 (Good)
Transport ProtocolLocal Subprocess (stdio)Local Subprocess (stdio)
Auth RequirementNo auth requiredNo auth required
Pricing ModelFree / Open SourceFree / Open Source
Required Env VarsNone requiredNone required
Compatible Clients
Claude DesktopCursorWindsurfClineVS Code
Claude DesktopCursorWindsurfClineVS Code
Install path signalnpx · highuvx · high
Engagement & Health 3 views 0 copies 0 upvotes 38 stars 2 views 0 copies 0 upvotes 852 stars
Verified / OfficialCommunity ListingCommunity Listing
Open full listingView Kage ListingView Projectmem Listing
kage_docs_search
Search this repo's OWN committed documentation (README, docs/**, *.md, common doc dirs — including any framework/API docs checked into the repo). BM25 over heading-anchored chunks from .agent_memory/indexes/docs-index.json. Returns ranked doc hits with doc_path, heading, line, and snippet. This indexes only files on disk in the project, never the internet.
kage_refresh
Rebuild repo indexes, code graph, memory graph, metrics, and stale-memory metadata. Agents should run this after meaningful file/content changes before PR checks; push-only or same-tree commits do not need another refresh. On non-default git branches metadata-only packet rewrites are skipped (quiet refresh) to avoid merge conflicts; pass force to persist them anyway. On a repo with many stale packets or validation warnings, stale_packets and validation.warnings are capped to the 10 most actionable entries by default (ranked by urgency), with the true total and a truncation note; pass limit or verbose for more.
kage_pr_check
Check whether repo memory, code graph, memory graph, and stale-memory state are ready for merge. Leads with a human summary of team memories invalidated by the current change — relay it to the developer. On a repo with many stale packets, validation findings, or reconciliation items, those lists are each capped to the 10 most actionable entries by default (stale packets ranked by urgency), with true totals and truncation notes; pass limit or verbose for more.
kage_supersede
Replace one repo-local memory packet with a newer one that corrects or obsoletes it. Marks the old packet superseded, links it to the replacement, and writes bidirectional lineage edges so the history stays traceable. Use this instead of deleting when new knowledge updates an old fact, or to resolve a contradiction surfaced by kage_conflicts. Mutates both packets on disk: the superseded packet is withheld from recall but kept for lineage. Returns ids, paths, and titles for confirmation, not the full packet bodies.
kage_skills
Codify durable, verified repo memory (runbooks, workflows, actionable decisions) into git-native SKILL.md files under .claude/skills/ that every teammate's agent auto-loads. Only grounded, non-stale packets become skills. Pass dry_run to preview without writing. dir overrides the output directory.
kage_learn
Capture a durable, reusable learning from the current session as a verified repo-local memory packet (committed under .agent_memory/, shared with the team via git). Use it the moment you discover something a future session should know: a decision and its rationale, a bug's root cause and fix, a convention, or a setup step. Prefer it over diff-based proposals when you already know what was learned. The write is rejected if every cited path is missing from the repo (set allow_missing_paths for a file you are about to create), and secrets/PII are scanned out before writing. Returns the new packet id plus any contradiction warnings against existing memory.
kage_feedback
Record how useful a recalled repo-local memory packet was, which tunes Kage's trust and future recall. 'helpful' reinforces the packet, 'wrong' flags it as disputed, and 'stale' marks it for re-verification and withholds it from recall until refreshed. Use it right after a recalled packet helped you, misled you, or no longer matched the code. Mutates the packet's quality signals on disk.

Projectmem Tools (6)

Local Markdown and JSONL memory
Typed event records for issues and decisions
MCP access for coding agents
Git pre-commit repetition warnings
Multi-project registration
Local memory visualization
Moxie Docs MCP logo
Projectmem vs Moxie Docs MCP
  • Memini logoProjectmem vs Memini
  • Scrivener MCP logoProjectmem vs Scrivener MCP
  • Krimto logoProjectmem vs Krimto
  • Verified, git-native memory for coding agents. Memory is plain JSON packets committed in your repo, each checked against the code it cites — hallucinated citations rejected at write, stale or changed memory withheld at recall, plus diff-time stale-catch. Local-only (BM25 + vectors), no account, no API key. npx -y @kage-core/kage-graph-mcp install
    Local-first memory and judgment layer for AI coding agents. Captures issues, failed attempts, fixes, and decisions in readable Markdown + JSONL, re-injects them into future sessions, and warns at git commit before you repeat a mistake. 14 tools, works with Claude, Cursor, Antigravity, and Codex.