io.github.Thezenmonster/agentmem

quilmem

Governed memory for coding agents. Trust lifecycle, conflict detection, health scoring.

6 2 tools GitHub PyPI

No known CVEs

MIT license

Stale

Last commit 192d ago

Works with most clients

Transport: stdio, sse

2 tools · ~51 tok

Grade A · 0.0% of 200K ctx

MCPpedia last refreshed this data 1d ago

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io.github.Thezenmonster/agentmem is an MCP server that governed memory for coding agents. Trust lifecycle, conflict detection, health scoring. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 77/100 on MCPpedia's security, maintenance and efficiency rubric.

Other

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "agentmem": {
      "args": [
        "--db",
        "./memory.db",
        "--project",
        "myproject",
        "serve"
      ],
      "type": "stdio",
      "command": "agentmem"
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-thezenmonster-agentmem-thezenmonster)](https://mcppedia.org/s/io-github-thezenmonster-agentmem-thezenmonster)

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What io.github.Thezenmonster/agentmem does

Governed memory for coding agents. Trust lifecycle, conflict detection, health scoring.

Test This Server

This server supports HTTP transport. Be the first to test it - help the community know if it works.

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Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

77/100across 5 weighted dimensions

How we score →

0255075100

−23

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked quilmem against OSV.dev.

Inventory

Tools (2)

Click any tool to inspect its schema.

~51 tokens total

Community

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Thezenmonster/agentmem safe to use?: io.github.Thezenmonster/agentmem has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.Thezenmonster/agentmem?: io.github.Thezenmonster/agentmem supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.Thezenmonster/agentmem do?: io.github.Thezenmonster/agentmem provides 2 tools: contradictions, CLI. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.Thezenmonster/agentmem?: io.github.Thezenmonster/agentmem is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is io.github.Thezenmonster/agentmem actively maintained?: io.github.Thezenmonster/agentmem is less actively maintained - last commit was 192 days ago. It has 6 GitHub stars.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

{ "mcpServers": { "agentmem": { "args": [ "--db", "./memory.db", "--project", "myproject", "serve" ], "type": "stdio", "command": "agentmem" } } }

60-Second Demo

from agentmem import Memory mem = Memory() # Store typed memories mem.add(type="bug", title="loudnorm undoes SFX levels", content="Never apply loudnorm to final mix. It re-normalizes everything.", status="validated") mem.add(type="decision", title="Use per-line atempo", content="Bake speed into per-line TTS. No global pass.", status="active") # Something you're not sure about yet hypothesis = mem.add(type="decision", title="Maybe try 2-second gaps before CTA", content="Hypothesis from last session. Needs testing.", status="hypothesis") # Search — validated and active memories rank highest. # Deprecated and superseded memories are excluded automatically. results = mem.search("audio mixing") # Context-budgeted recall — fits the best memories into your token limit context = mem.recall("building a narration track", max_tokens=2000) # Lifecycle — promote what's proven, deprecate what's not mem.promote(hypothesis.id) # hypothesis -> active -> validated mem.deprecate(hypothesis.id, reason="Disproven by data") # Supersede: replace an outdated memory with a newer one replacement = mem.add(type="decision", title="Use 1-second gaps before CTA", content="Confirmed by A/B test.", status="active") mem.supersede(hypothesis.id, replacement.id) # old points to replacement # Health check — is your memory system trustworthy? from agentmem import health_check report = health_check(mem._conn) # Health: 85/100 | Conflicts: 0 | Stale: 2 | Validated: 14

What Makes This Different

Other memory tools store things. agentmem knows what's still true.

	Mem0	Letta	Mengram	agentmem
Memory storage	Yes	Yes	Yes	Yes
Full-text search	Vector	Agent-driven	Knowledge graph	FTS5
Memory lifecycle states	No	Partial	No	hypothesis -> active -> validated -> deprecated -> superseded
Conflict detection	No	No	Partial	Built-in
Staleness detection	No	No	No	Built-in
Health scoring	No	No	No	Built-in
Provenance tracking	No	No	No	source_path + source_hash
Trust-ranked recall	No	No	No	Validated > active > hypothesis
Human-readable source files	No	No	No	Canonical markdown
Local-first, zero infrastructure	No	Self-host option	Self-host option	Yes, always
MCP server	Separate	Separate	Yes	Built-in

Mem0

Letta

Mengram

agentmem

Memory storage

Yes

Full-text search

Vector

Agent-driven

Knowledge graph

FTS5

Memory lifecycle states

Partial

hypothesis -> active -> validated -> deprecated -> superseded

Conflict detection

Partial

Built-in

Staleness detection

Built-in

Health scoring

Built-in

Provenance tracking

source_path + source_hash

Trust-ranked recall

Validated > active > hypothesis

Human-readable source files

Canonical markdown

Local-first, zero infrastructure

Self-host option

Yes, always

MCP server

Separate

Yes

Built-in

Frequently Asked Questions

Is io.github.Thezenmonster/agentmem safe to use?

io.github.Thezenmonster/agentmem has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install io.github.Thezenmonster/agentmem?

io.github.Thezenmonster/agentmem supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.Thezenmonster/agentmem do?

io.github.Thezenmonster/agentmem provides 2 tools: contradictions, CLI. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.Thezenmonster/agentmem?

io.github.Thezenmonster/agentmem is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is io.github.Thezenmonster/agentmem actively maintained?

io.github.Thezenmonster/agentmem is less actively maintained - last commit was 192 days ago. It has 6 GitHub stars.

60-Second Demo

What Makes This Different

Other memory tools store things. agentmem knows what's still true.

	Mem0	Letta	Mengram	agentmem
Memory storage	Yes	Yes	Yes	Yes
Full-text search	Vector	Agent-driven	Knowledge graph	FTS5
Memory lifecycle states	No	Partial	No	hypothesis -> active -> validated -> deprecated -> superseded
Conflict detection	No	No	Partial	Built-in
Staleness detection	No	No	No	Built-in
Health scoring	No	No	No	Built-in
Provenance tracking	No	No	No	source_path + source_hash
Trust-ranked recall	No	No	No	Validated > active > hypothesis
Human-readable source files	No	No	No	Canonical markdown
Local-first, zero infrastructure	No	Self-host option	Self-host option	Yes, always
MCP server	Separate	Separate	Yes	Built-in

Mem0

Letta

Mengram

agentmem

Memory storage

Yes

Full-text search

Vector

Agent-driven

Knowledge graph

FTS5

Memory lifecycle states

Partial

hypothesis -> active -> validated -> deprecated -> superseded

Conflict detection

Partial

Built-in

Staleness detection

Built-in

Health scoring

Built-in

Provenance tracking

source_path + source_hash

Trust-ranked recall

Validated > active > hypothesis

Human-readable source files

Canonical markdown

Local-first, zero infrastructure

Self-host option

Yes, always

MCP server

Separate

Yes

Built-in

io.github.Thezenmonster/agentmem

Install in your client