Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/NovasPlace/CSMInstalling this writes the configuration, not the program: `node` runs a file from the repository, so clone it first and make the path in the command match where you put it.
Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/mcp/novasplace/csm/cross-session-memory-bridge)<a href="https://agentmods.dev/mcp/novasplace/csm/cross-session-memory-bridge"><img src="https://agentmods.dev/badge/mcp/novasplace/csm/cross-session-memory-bridge/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/mcp/novasplace/csm/cross-session-memory-bridge"><img src="https://agentmods.dev/badge/mcp/novasplace/csm/cross-session-memory-bridge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
cross-session-memory-bridge scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"cross-session-memory-bridge": {
"cwd": ".",
"command": "node",
"args": [
"./runtime/launch-mcp.mjs"
],
"env": {
"CSM_DATABASE_PROVIDER": "postgres",
"CSM_REQUIRE_EXPLICIT_DATABASE_URL": "true"
},
"env_vars": [
"CSM_DATABASE_URL",
"CSM_DB_TLS_MODE",
"CSM_EMBEDDING_PROVIDER",
"CSM_EMBEDDING_DIMENSIONS",
"OLLAMA_HOST",
"OPENAI_API_KEY"
]
}
}What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 21 lines scan A 61e939e105be
cross-session-memory-bridge is an MCP server published in the GitHub repository NovasPlace/CSM (46 stars, last pushed 3d ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other mcp servers, from other repositories
dark-memory-mcp
Persistent memory + vibe-loop engine for AI agents. Single Go binary, SQLite-backed, stdio MCP. Runs locally from the @opitacode/dark-memory-mcp npm package.
projectmem
Coding agent memory — local-first memory and judgment for AI coding agents. One MCP server for every project; warns before repeating failed fixes. Runs locally from the projectmem Python package.
knowl
Persistent memory for Claude Code, Cursor and Codex. Facts are typed, sourced, and retired when they change. Local SQLite, no API keys. Runs locally from the @dat999zx/knowl npm package.
ai-memory
MCP server "ai-memory" as configured in alphaonedev/ai-memory-mcp. Runs in Docker (ghcr.io/alphaonedev/ai-memory:0.5.1). Needs 1 environment variable to run.
KIP
Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction. Runs locally from the @ldclabs/kip-mcp-server npm package. Needs 2 environment variables to run.
synapse-secure-memory
Persistent memory infrastructure for AI agents — AES-256-GCM encrypted at rest, semantic search, MCP-native. Runs locally from the synapse-layer Python package. Needs 4 environment variables to run.