io.github.Thezenmonster/agentmem

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

UnknownNot tested

15FNo CVEsunknown

Quick Install

{
  "mcpServers": {
    "io-github-thezenmonster-agentmem": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Setup guide

No install config available. Check the server's README for setup instructions.

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

Should you use this server?

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

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

Is it maintained?

Commit history unknown.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

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Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Score Breakdown

MCPpedia Score

Click each category to see evidence

15F

Last scored 14h ago

How we score →

Security

2/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

○

Tool stability — First scan — baseline recorded

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

Have you used this server?

Share your experience — it helps other developers decide.

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. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Thezenmonster/agentmem?: io.github.Thezenmonster/agentmem can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.Thezenmonster/agentmem?: io.github.Thezenmonster/agentmem is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

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Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

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

Should you use this server?

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

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

Is it maintained?

Commit history unknown.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

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

Score Breakdown

MCPpedia Score

Click each category to see evidence

15F

Last scored 14h ago

How we score →

Security

2/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

○

Tool stability — First scan — baseline recorded

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

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. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

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

io.github.Thezenmonster/agentmem can be installed by cloning its GitHub repository and following the setup instructions in the README.

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

io.github.Thezenmonster/agentmem is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

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

Quick Install