Memory

Talamus Memory

Try it

Set up and use Talamus as durable, local-first memory for AI agents. Use when an agent needs to initialize or diagnose a Talamus brain, ingest files or repos...

What it does

Set up and use Talamus as durable, local-first memory for AI agents. Use when an agent needs to initialize or diagnose a Talamus brain, ingest files or repos...

The skill document

Talamus Memory

Use the talamus CLI to maintain source-grounded Markdown memory backed by a derived local SQLite/FTS5 index. Keep the brain inspectable, preserve citations, and make all potentially paid or sensitive operations explicit.

Safety contract

  • Run talamus where before acting so the selected brain is unambiguous.
  • Treat ask, search --smart, scan --yes, ingest, enrich, consolidate, verify without --stale, and remember as possible LLM calls. State the planned calls and obtain consent before running them unless the user already explicitly requested that exact operation.
  • Preview repository ingestion with talamus scan --dry-run. Never pass --allow-secrets without explicit approval.
  • Never install a session-capture hook or read/capture a transcript without explicit consent. Prefer talamus setup --capture ask.
  • Do not apply review items or corrections automatically. Show the proposal, then run talamus review apply ID or talamus verify TITLE --apply only after approval.
  • Preserve Talamus citation markers and identify the notes or sources behind an answer. Do not present unsupported recollection as verified fact.
  • Never expose secrets from talamus.json, environment variables, source files, transcripts, or .talamus/logs.

1. Inspect readiness

talamus --version
talamus where
talamus status
talamus doctor

If the executable is missing, explain the change and ask once before installing it. Use the first available isolated installer; do not run multiple installers:

uv tool install "talamus[mcp]"
# or, when uv is unavailable:
pipx install "talamus[mcp]"
# last resort:
python -m pip install --user "talamus[mcp]"

Then run talamus --version again. If the install succeeded but the command is not on PATH, report the installer-provided bin directory instead of silently installing a second copy. Installing the skill itself must never execute a package installer; installation happens only when an agent uses the skill and the user approves the local change.

If no brain exists, ask whether the memory belongs to this project or should be global. For a project brain, run talamus setup --capture ask from the project root. Use talamus init for minimal initialization without MCP or a hook.

2. Retrieve before generating

Start with deterministic, no-embedding retrieval:

talamus search "QUERY" --json
talamus recall "QUESTION" --json
talamus read "NOTE TITLE" --json

Use --scope project+central or --all-brains only when the user wants broader memory. If lexical retrieval is insufficient and the user approves an LLM call, retry with talamus search "QUERY" --smart.

For a cited synthesis, run:

talamus ask "QUESTION" --trace

For historical questions, preserve the requested time boundary:

talamus ask "QUESTION" --as-of 2026-01
talamus timeline "NOTE TITLE"
talamus history "NOTE TITLE"

3. Add knowledge deliberately

For a single source, summarize the expected scope and possible LLM usage before running:

talamus ingest PATH_OR_URL

For a repository, preview first and show the plan:

talamus scan . --dry-run --profile docs
# After explicit approval:
talamus scan . --yes --profile docs

Import an existing Markdown, Obsidian, or Notion-export vault without an LLM call when a lossless import is preferable:

talamus import-vault PATH

After a write, report the target brain, sources processed, notes created or updated, review items created, and any skipped or failed inputs.

4. Verify and curate

Check provenance without an LLM first:

talamus verify --stale --json
talamus review list

Inspect proposals before changing memory:

talamus review show ID
talamus verify "NOTE TITLE"

Apply or reject only after the user chooses:

talamus review apply ID
talamus review reject ID --reason "REASON"

Use talamus reindex after manual note edits. Use talamus doctor when an index, engine, capture queue, or source check behaves unexpectedly.

5. Connect agents

Install the MCP configuration only when the user asks to connect an agent:

talamus mcp install --agent auto

Use --agent claude, cursor, codex, opencode, openclaw, or all when the target is explicit. OpenClaw receives a read-oriented tool filter by default; LLM-backed and mutating tools remain opt-in. Re-run talamus doctor and report which integrations were detected.

For automatic session memory, explain that the hook reads the session transcript and git diff, stores decisions locally, and audits the decision. Install it only after explicit consent through talamus setup --capture yes or the dedicated hook command.

6. Back up before risky maintenance

Before bulk curation, relocation, or destructive maintenance, create a portable backup:

talamus export brain.zip

End every workflow with the active brain path, the commands actually run, any LLM or capture activity, the evidence retrieved or changed, and the safest next action.

Related skills

Upload Brain cross-agent long-term memory. ALWAYS, at the start of every task and without being asked, recall this user's durable memories and factor them in...

Cross-platform persistent memory system for AI agents: session continuity, task tracking, decision records, and project context across coding sessions. Free tier provides templates and adapter configurations. Paid tier enables cross-platform synchronization execution via clawtip verification.

Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear,...

Unlimited organized memory for your AI agent. Store, search, and organize projects, contacts, decisions, and knowledge across categories. Never lose context...

Local-first MCP memory backend and governance console for coding agents. Auto-organize, quarantine, supersede, and rollback shared memories across multiple a...

Long-term memory for AI agents. Your AI remembers everything — preferences, decisions, context — across sessions, forever.

45 installs