Afterpaths runs on your own machine — the client starts it, so there is no endpoint to ping. 139 installs a week from pypi. Last commit 28 Apr 2026.
Session memory for AI coding agents. Search past sessions, extract rules, and track what works.
We read the source, 21 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
result = subprocess.run(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add afterpaths -- uvx afterpaths
{
"mcpServers": {
"afterpaths": {
"args": [
"afterpaths"
],
"command": "uvx"
}
}
}
[mcp_servers.afterpaths]
command = "uvx"
args = ["afterpaths"]
{
"mcpServers": {
"afterpaths": {
"args": [
"afterpaths"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"afterpaths": {
"args": [
"afterpaths"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
ANTHROPIC_API_KEY (Anthropic API key for session summarization and rule extraction. Not required for search, list, show, or rules tools.), OPENAI_API_KEY (OpenAI API key (alternative to Anthropic) for summarization.).
The author declared them in the registry entry; get the values from the project itself.
Session memory for AI coding agents: records decisions and dead ends, flags what went stale.
Memory for coding agents: the decisions, the dead ends, and where the last session stopped.
Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
Persistent memory for AI agents. Search, store, and recall across sessions.
AI agent memory: task tracking, scoped work packages, decisions, and cross-session continuity
Efficient context management: code search, evidence packs, and memory for coding agents.
Web search, page reading and structured extraction for AI agents, with strong RU coverage
Answers built from our own checks of this server.