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sysangel

brain

by sysangel
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Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tasks
{
  "list": {},
  "cancel": {},
  "requests": {
    "tools": {
      "call": {}
    },
    "prompts": {
      "get": {}
    },
    "resources": {
      "read": {}
    }
  }
}
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
recallA

Search past Claude Code sessions (episodes), memory notes (memories), and per-session digests (summaries, written by the nightly reflect pass).

Hybrid full-text + semantic search. scope: "all" | "episodes" | "memories" | "summaries" ("all" spans all three). Filters: project matches path segments of the session dir (e.g. "mobile" => ~/src/mobile); since/until are "YYYY-MM-DD" or "Nd" (N days ago), inclusive. Returns compact hits: kind, id, date, project, snippet, session_id (episodes and summaries) or name (memories), and a score in (0, 1] (recency- and kind-weighted, normalized RRF); hits are score-descending. Episode/memory ids are stable content-derived strings (ep_…/mem_…) — safe to persist; summary ids (sum_…) are ephemeral. Use get_episode(id) for full text.

get_episodeA

Fetch full stored text + metadata for one recall hit.

id is the string from a recall hit; its ep_/mem_/sum_ prefix selects the kind (episode → the USER/ASSISTANT exchange; memory → body + path; summary → a per-session digest written by reflect). ep_/mem_ ids are stable across re-ingests and rebuilds; sum_ ids are ephemeral (pair recall → get_episode within one session). Text capped at 8k chars with a truncation marker.

rememberA

Persist a new memory: write memories/.md, commit, index — immediately recallable.

fact: the durable fact (short markdown, first sentence becomes the description). type: user|feedback|project|reference. name: optional kebab-slug filename. session/project: provenance trailers ($CLAUDE_CODE_SESSION_ID from Bash env / workspace dir); omitted when empty. If a near-duplicate memory exists it is returned instead of writing; force=true writes anyway. On success returns a stable mem_… id — pair recall → get_episode(id) to read it back.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.6/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: get_episode retrieves full content for a recall hit, recall searches across memories and episodes, and remember stores new facts. There is no overlap or ambiguity.

Naming Consistency4/5

The naming pattern is mostly verb_noun (get_episode, remember) with recall as a single verb. This minor inconsistency does not hinder understanding, but a more uniform pattern would improve predictability.

Tool Count4/5

Three tools is a small but reasonable set for a memory recall and persistence system. Each tool provides a core function (search, fetch detail, store) without unnecessary complexity.

Completeness3/5

The set covers search, retrieval, and creation of memories, but lacks update or delete operations. This may force agents to work around missing lifecycle management, but the core workflows are supported.

Maintenance

ActivityStale
ResponsivenessNo issues

Resources