{
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  "Slug": "tether",
  "Name": "tether",
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  "ServerUrl": "https://askpod.ai/mcp/tether",
  "IssueTotal": 21,
  "Held": 20,
  "Issues": [
    {
      "Title": "Silent write loss: link()/remember() return success but don't persist under multi-server lock contention",
      "Excerpt": "## Severity: HIGH — silent data loss\n\nWrites (`link()`, and in principle `remember()`/`forget()`) can return a **success payload while persisting nothing**. No error is raised or returned — the call looks like it worked and the data simply isn't in the DB. For a memory system this is the worst class of bug: it silently corrupts the graph and there's no signal.\n\nReproduced live today; this is also the root cause of a separate incident where a subagent's 30 `link()` calls all returned `{\"linked\":…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/37",
      "PublishedAt": "2026-07-06T07:17:21.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "Maintainer",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Slow MCP calls: cold-start (HF hub check + uvx re-spawn) paid repeatedly, not recall compute",
      "Excerpt": "## Symptom\n\nMCP tool calls to tether (`recall`, `remember`, …) feel slow / laggy, with variable latency — sometimes sub-second, sometimes multi-second stalls. This is a **latency / environment** problem, **not** a recall-quality bug (see #25 for that) and **not** a bug in the recall path itself.\n\n## Root cause: cold-start is paid repeatedly, and cold-start does avoidable network I/O\n\nThe per-call *compute* is cheap. Measured on this machine (`minishlab/potion-base-8M`, warm HF cache):\n\n| step |…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/28",
      "PublishedAt": "2026-07-04T20:20:22.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "Maintainer",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "recall returns full bodies (55KB+ payloads); adopt snippet + fetch-on-demand like other retrieval tools",
      "Excerpt": "## Symptom\n\n`recall` returns the **full body** of every hit. A single large memory dominates the payload — e.g. the project \"blog journal\" memory (id 4) is ~55KB on its own, and `recall` currently returns up to 20 full memories. Observed live: unrelated queries (\"seed dominance\", \"hebbian edges\") each returned a **55–64KB** payload, led by the giant journal memory.\n\nThis is the latency users actually *feel* — not recall compute. Measured on the real path:\n\n| | value |\n|---|---|\n| Warm recall…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/30",
      "PublishedAt": "2026-07-04T21:00:37.000Z",
      "State": "closed",
      "Comments": 1,
      "Reporter": "Maintainer",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "v0.3: recall ranks but doesn't filter — add an optional relevance floor",
      "Excerpt": "**Found while testing v0.2 features live.** `recall` returns candidates *ranked* by relevance up to `limit`, but with **no similarity floor** — so a query returns *everything* (sorted), not just what's actually close.\n\n## Repro\nWith semantic search on, a store of 3 unrelated notes, query `\"automobile\"` (a word that appears nowhere):\n- The right note (`\"I drive my car to the office\"`) is correctly the **top** hit. ✅\n- But the two unrelated notes (a lunch note, an editor note) are **also…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/15",
      "PublishedAt": "2026-07-04T07:40:46.000Z",
      "State": "closed",
      "Comments": 1,
      "Reporter": "Maintainer",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Privacy-preserving opt-in telemetry for active-installation and retention metrics",
      "Excerpt": "## Product gap\n\nTether is distributed as a local-first Python package and does not require an account, so there is currently no reliable way to answer basic adoption questions:\n\n- How many installations are actively using Tether?\n- How many return after one, four, or twelve weeks?\n- Which released versions remain active?\n- Are semantic recall and sync actually being adopted?\n\nGitHub traffic and PyPI downloads are useful acquisition signals, but neither represents real users. GitHub…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/97",
      "PublishedAt": "2026-09-07T01:37:57.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Project awareness: lead the boot index with the current project, auto-tag work memories, prefer same-project hits",
      "Excerpt": "## Why\n\nThe moment that makes a memory layer feel indispensable is the first message of a session: the agent already knows *this* project's decisions, gotchas and conventions without being asked. Today the auto-loaded `tether://memory-index` is \"newest first, hubs above the cap\" across the whole store. Someone using tether from several repos gets an index dominated by whatever they touched last, and `recall` ranks a hit from another project on equal footing with one from the repo they're…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/92",
      "PublishedAt": "2026-09-05T17:44:08.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Keyword recall returns nothing for natural-language queries: FTS5 query ANDs every word",
      "Excerpt": "## Problem\n\n`_fts_query()` turns a query into `\"w1\" \"w2\" \"w3\" ...` — every whitespace token double-quoted and space-separated, which FTS5 reads as **implicit AND**. A memory only matches if it contains *every* word of the query. For a two-word query that's fine; for the way an agent actually asks — a question or a descriptive phrase — it almost never matches anything, and `recall` silently falls through to the semantic arm alone (or to nothing at all without the `[semantic]` extra).\n\n##…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/89",
      "PublishedAt": "2026-09-05T10:22:02.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Concurrent tool calls share one unlocked Store/connection: transaction errors and wrong `action` under parallel calls",
      "Excerpt": "## Problem\n\nThe mcp SDK dispatches each inbound request as its own task and runs **sync** tool functions in `anyio.to_thread.run_sync` (verified in the installed `mcp` package: `jsonrpc_dispatcher._spawn` → `start_soon`, `mcpserver/resolve.py` → `to_thread.run_sync`). Claude Code issues parallel tool calls, so two `remember`/`recall`/`link` calls can run **simultaneously on different threads** against tether's single `sqlite3` connection (`check_same_thread=False`) and single `Store`, which has…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/83",
      "PublishedAt": "2026-09-05T09:49:09.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "P0: mcp 2.0.0 removed mcp.server.fastmcp — every fresh install of tether-memory fails to start",
      "Excerpt": "## Severity: HIGH — currently shipping; a fresh install is dead on arrival\n\n`mcp` **2.0.0** was released **2026-07-28**. It renamed `FastMCP` → `MCPServer` and moved `mcp.server.fastmcp` → `mcp.server.mcpserver`, with **no back-compat alias** (`from mcp.server.fastmcp import FastMCP` raises `ModuleNotFoundError`; `mcp.FastMCP` does not exist).\n\n`pyproject.toml` declares `dependencies = [\"mcp>=1.0\"]` — no upper bound. So as of two days ago, `pip install tether-memory` / `uvx tether-memory`…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/69",
      "PublishedAt": "2026-07-30T21:48:26.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "dismiss_cluster is registered as an MCP tool even when crystallization is off",
      "Excerpt": "## Symptom\n\n`dismiss_cluster` is registered unconditionally (`src/tether/server.py:143`), so every agent sees five tools even though the README's contract is \"four memory verbs\" and dismiss_cluster is \"only relevant with `TETHER_CRYSTALLIZE`\". With crystallization off (the default), the tool is pure noise in the agent's tool list — and a hallucinated call to it still executes `Graph.dismiss_peak`, writing rows to `crystallize_dismissed` that will silently suppress candidates if crystallization…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/65",
      "PublishedAt": "2026-07-30T19:50:59.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "CLI: export has no matching import, and forget's reversibility has no surface",
      "Excerpt": "## Symptom\n\nTwo asymmetries in the admin escape hatch (`src/tether/cli.py`, currently exactly `export` + `purge`):\n\n1. **`tether export` exists, `tether import` doesn't.** The export is documented as \"a plain backup independent of the DB file\" (#49), but there is no way to restore that backup short of hand-written SQL — so as a backup it can be taken but not used.\n2. **`forget()` is documented as reversible, but nothing exposes the reversal.** The docstring says \"clear `valid_to` to restore\"…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/64",
      "PublishedAt": "2026-07-30T19:50:49.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Sync only runs after writes — a read-only device never pulls other devices' updates",
      "Excerpt": "## Symptom\n\nWith sync configured, `sync_now()` is invoked only from the four write paths — `_remember_impl` (`src/tether/store.py:484`), `_link_impl` (:902), `_forget_impl` (:926), `_purge_impl` (:940). `recall()` and the boot index never sync.\n\nSo a device that only **reads** in a session sees the other devices' writes only as of its own startup probe (`_open_replica`'s initial `conn.sync()`), and stays stale until it happens to write something or restarts. That undercuts the \"syncs your…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/62",
      "PublishedAt": "2026-07-30T19:50:26.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "No status resource/tool exposing whether semantic search, sync, or assoc are actually active",
      "Excerpt": "## Product gap\n\nSeveral of tether's features degrade silently by design (that's the intended \"degrade-never\" behavior for reads) — but there is currently no way for the calling agent or the user to check which degraded state they're actually in. If the embedder fails to load, or sync fell back to local, the only signal is a stderr log line (e.g. `sync offline`, sync.py ~line 99) — nothing on the MCP tool/resource surface itself.\n\n## Why it matters\nThis makes tether's actual runtime…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/51",
      "PublishedAt": "2026-07-06T09:19:58.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "recall has no exact tag-filter parameter; tag-based retrieval is not guaranteed-complete",
      "Excerpt": "## Product gap\n\n`recall`'s parameters are `query, type, limit, budget, session` (server.py ~line 87) — there is no way to filter by tag directly. Tags are only reachable through ranked FTS/semantic search (tags are FTS-indexed as text), which means a tag-based query is a best-effort ranked search, not a guaranteed-complete retrieval.\n\n## Why it matters\nThis directly affects tether's own dogfooded workflow: the blog-journal convention (see the project's own CLAUDE.md instructions) requires…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/50",
      "PublishedAt": "2026-07-06T09:19:54.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "forget is a hard DELETE with no export/backup path — inconsistent with tether's non-destructive design",
      "Excerpt": "## Product gap\n\nEvery other write path in tether is explicitly non-destructive: consolidation supersedes (never overwrites), the forgetting-by-disconnection sweep soft-archives (reversible), and the README states this as a design principle (\"Consolidation never deletes — only forget does\"). But `forget()` itself (store.py ~line 602) is a plain `DELETE FROM memories WHERE id=?` — permanent, no soft-delete via the existing `valid_to` machinery, and there is no export/dump capability anywhere in…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/49",
      "PublishedAt": "2026-07-06T09:19:50.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "remember() upsert silently wipes the links JSON column if links isn't re-passed",
      "Excerpt": "## Severity: LOW-MEDIUM — same column already flagged racy in #38\n\nThe UPDATE path of `remember()`'s upsert (store.py ~lines 306-310) unconditionally writes `links=?` using `links_s = json.dumps(links or [])` (~line 298) — i.e. whatever `links` value was passed to this specific call, defaulting to `[]`/`None` if omitted.\n\n## Failure scenario\nAn agent re-remembers an existing memory (same type+title, e.g. to refine its body) without re-passing the `links` argument it originally set. The UPDATE…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/47",
      "PublishedAt": "2026-07-06T09:19:41.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "A recall query matching nothing still returns primed session context, mislabeled via:{seed:true}",
      "Excerpt": "## Severity: MEDIUM — silent context pollution, compounds #30's payload problem\n\nWhen a query's FTS/semantic seeding produces zero direct hits, `_seed_scores` returns `{}`. But `activated = dict(seeds)` (store.py ~line 516) then still absorbs `session_activation()`'s previously-primed members (~line 517) — so if the session has any primed memories, `activated` is non-empty even though `seeds` was empty, and the `if not activated: return []` guard (~line 518) is bypassed.\n\nWith `seeds={}`,…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/46",
      "PublishedAt": "2026-07-06T09:19:36.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Sync degrade-to-local fallback is only evaluated once at startup, not mid-session",
      "Excerpt": "## Severity: LOW-MEDIUM — README overstates resilience\n\nThe local/remote fallback decision is made exactly once, in `open_connection` (sync.py ~lines 93-100), and the resulting connection is memoized at the module level in `_get_store()` (server.py ~line 32). There is no reconnect/re-degrade logic afterward, and the replica's background sync (`_safe_sync`, sync.py ~lines 49-53) is fire-and-forget.\n\n## Failure scenario\nA device connects successfully to the Turso/libSQL primary at startup (so…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/44",
      "PublishedAt": "2026-07-06T09:19:25.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "No WAL/busy_timeout on local SQLite connection; recall's own writes can lock-contend",
      "Excerpt": "## Severity: MEDIUM — surfaces as a \"read\" call failing with database is locked\n\n`_local()` (sync.py ~line 44-46) opens a plain `sqlite3.connect(...)` with no `PRAGMA journal_mode=WAL` and no `PRAGMA busy_timeout` set. SQLite's default `busy_timeout` is 0.\n\n`recall()` is not purely read-only when the associative graph is enabled (`TETHER_ASSOC` on): it calls `resolve_session` → `meta_set`/`touch_session` (writes to `meta`/`session_members`) and commits (store.py ~line 548).\n\n## Failure scenario…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/43",
      "PublishedAt": "2026-07-06T09:19:20.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "recall can resurface superseded/archived memories via session priming (valid_to not filtered)",
      "Excerpt": "## Severity: MEDIUM — violates consolidation's stated guarantee\n\n`session_activation()` (graph.py ~lines 306-311) selects primed members from `session_members` with no `valid_to` filter, and `_hydrate()` (store.py ~lines 464-474) hydrates by `id IN (...)` with no `valid_to IS NULL` filter either.\n\nMeanwhile, consolidation (supersession, ~store.py:324-325) and the forgetting sweep (~store.py:377-378) both set `valid_to` on a memory to mark it no-longer-current — but neither cleans up any…",
      "SourceUrl": "https://github.com/sidyellur/tether/issues/42",
      "PublishedAt": "2026-07-06T09:19:14.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Maintainer",
      "Rank": "recent",
      "Extractor": "github_issue"
    }
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