Afterpaths runs on your own machine — the client starts it, so there is no endpoint to ping. 99 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.
What the code does
We read the source, 6 d ago · rules 995398eba69f
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.
This code can reach further than it looks
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.
Connect this server
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": {
"command": "uvx",
"args": [
"afterpaths"
]
}
}
}[mcp_servers.afterpaths]
command = "uvx"
args = ["afterpaths"]{
"mcpServers": {
"afterpaths": {
"command": "uvx",
"args": [
"afterpaths"
]
}
}
}{
"servers": {
"afterpaths": {
"type": "stdio",
"command": "uvx",
"args": [
"afterpaths"
]
}
}
}Optional settings from the registry entry, left out of the block above:
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).
Alternatives to Afterpaths
same job, measured the same waySession 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.
Local, private memory for coding agents: facts, skills and tasks that persist 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.
Afterpaths — questions
Answers built from our own checks of this server.