A local search tool that indexes and retrieves transcripts from Claude, Codex CLI, Cursor, and other coding agents using BM-25 and optional embeddings. It provides both CLI and TUI interfaces for browsing session history, and integrates as a skill for agents to query their own previous sessions.
Fast transcript search for humans & agents. Supports Claude Code, Codex CLI & OpenCode
At a glance
README
memex
Fast local history search for Claude, Codex CLI, Cursor, OpenCode, Pi, Oh My Pi, OpenClaw, GitHub Copilot CLI, Grok, Jcode, and Muse. Also supports Hermes usage records. Uses BM-25 and optionally embeds your transcripts locally for hybrid search.
Agents can use Memex through its MCP server or CLI skill. Ask about a previous session, then narrow the search and retrieve source records as needed.
Includes a TUI for browsing, finding and resuming agent CLI sessions, with optional token usage tracking.

Install
brew install nicosuave/tap/memex
Or
curl -fsSL https://raw.githubusercontent.com/nicosuave/memex/main/scripts/setup.sh | sh
Or (from the AUR on Arch Linux):
paru -S memex
Or (with Nix):
nix run github:nicosuave/memex
Development shell:
nix develop
Note: No binary cache is configured, so first builds compile from source.
NixOS service:
Enable background indexing with the provided module:
{
inputs.memex.url = "github:nicosuave/memex";
outputs = { nixpkgs, memex, ... }: {
nixosConfigurations.default = nixpkgs.lib.nixosSystem {
modules = [
memex.nixosModules.default
{
services.memex = {
enable = true;
continuous = true; # Run as a daemon (optional)
};
}
];
};
};
}
Home Manager:
Configure memex declaratively (generates ~/.memex/config.toml):
{
inputs.memex.url = "github:nicosuave/memex";
outputs = { memex, ... }: {
# Inside your Home Manager configuration
modules = [
memex.homeManagerModules.default
{
programs.memex = {
enable = true;
settings = {
embeddings = true;
include_reasoning = false;
model = "minilm";
execution_provider = "auto"; # coreml on macOS, cpu elsewhere
cuda_device_id = 0; # optional when execution_provider = "cuda"
cuda_library_paths = ["/usr/local/cuda/lib64"]; # optional override
cudnn_library_paths = ["/usr/lib/x86_64-linux-gnu"]; # optional override
compute_units = "ane"; # CoreML only: ane, gpu, cpu, all
auto_index_on_search = true;
token_usage = false; # opt in to local token and cost tracking
index_service_interval = 3600;
};
};
}
];
};
}
Then install the shared skill used by Codex, OpenCode, Pi, and Oh My Pi:
memex skill install --target shared
The shared memex-search skill is installed once at
~/.agents/skills/memex-search/SKILL.md for Codex, OpenCode, Pi, and Oh My Pi.
For Claude Code, use memex skill install --target claude; its copy lives at
~/.claude/skills/memex-search/SKILL.md.
Launching memex in a human terminal offers an update when a newer release is
available. Press Enter to update Memex and refresh its installed skill copies, or
choose no to continue into the TUI. Homebrew installs run brew update followed by
brew upgrade nicosuave/tap/memex; skills are refreshed by the newly installed binary.
After updating, run memex again to start that version.
Agents and scripts still receive update notices but never a startup prompt. Memex
recognizes CI, Codex, and Claude Code environment markers; use --non-interactive
explicitly for other agents, including those using a PTY. Bare noninteractive
memex prints help, while search and other data commands run normally. To update:
memex update --yes
Without --yes, explicit memex update requires a human terminal and confirmation.
Both update paths replace existing shared/Claude skill copies, including local edits;
they do not install missing copies. Restart your agent after its skill is updated.
Searches warn on stderr when an installed skill differs from the running binary
(outdated or locally modified). memex skill status shows which copies differ;
memex skill update refreshes skills without upgrading Memex. Searches never update
anything or prompt, and JSONL/TOON output on stdout stays clean. Use
memex skill cleanup to explicitly remove obsolete paths from older releases.
Release checks have a two-second network timeout and are cached for six hours
(failed checks retry after five minutes). --no-update-check skips release checks
without hiding stale-skill warnings. Install never overwrites a differing skill file.
Quickstart
Index (incremental):
memex index
The main search, indexing, and maintenance commands are organized as follows:
| Area | Commands |
|---|---|
| Index maintenance | memex index, memex index rebuild, memex index gc, memex index embed, memex index stats |
| Search and reading | memex search, memex sessions, memex session, memex show, memex context |
| Batch session reads | memex session batch [requests.jsonl] |
| Background processes | memex daemon run, memex daemon enable, memex daemon restart, memex daemon status, memex daemon disable |
| Browser UI | memex web serve, memex web open (memex web also serves) |
| Retrieval diagnostics | memex debug eval-retrieval DATASET |
Index all supported sources by default. Use repeatable --only-source <source> or
--exclude-source <source> options to select providers, and --claude-path <path>
to use a non-default Claude projects directory. Index sources are claude, codex,
cursor, opencode, pi, omp, openclaw, copilot, grok, jcode, and muse.
Agent memories
Indexing also discovers Claude project memories (projects/*/memory/**/*.md) and
Codex's memories/MEMORY.md, memory_summary.md, and rollout_summaries/*.md.
Discovery follows the existing Claude roots, --claude-path, Codex homes, provider
selection, and path exclusions. Raw memory intermediates, generated skills, and
unrelated project storage are not memory sources. Memex never edits these files.
Memories are documents, not sessions. They have a stable document ID, a content
version, and sections for retrieval. A changed file replaces all its indexed
sections atomically; deleted sections and files disappear on the next scan.
Renames are treated as removal and addition. If a source cannot be read, Memex
keeps the last good copy and marks its freshness instead of treating an error as
a deletion. Memory snapshots are stored under the Memex data root's memory/
directory, separately from conversation records and session analytics.
For recall of prior decisions, preferences, project conventions, or previous work,
use --content all to search memories and conversations together. Use
--content memories to inspect saved notes specifically. Search without
--content remains conversation-only. Provider selection remains independent:
--source claude selects the provider, not the content type. Memory results carry
document/section references, source paths, scope, freshness, and content versions.
For scoped memories, --project uses the repository name across Git worktrees;
--cwd selects the exact checkout. Each memory keeps its own source path and ID.
Their timestamp filters use file modification time; dates explicitly recorded
inside a note are separate metadata and do not imply that its claims are current.
Memory retrieval uses the existing search and show interfaces. Session listing,
session reads, session batch, and conversation context keep their established
meaning. A memory read uses a returned document ID rather than an arbitrary file
path. If the version changed since search, the read identifies that change and
returns bounded current document content rather than applying an obsolete section
position to the new file.
The existing daemon handles updates; there is no second memory service. MCP uses the same search/read implementation, with structured provenance and bounded content. Retrieved notes are historical evidence, not instructions for the consuming agent. Explicit links can provide supporting documents or conversations; conflicting notes remain separately attributable rather than being silently merged.
memex search "deployment decision" --content all
memex search "deployment decision" --content memories --source codex
memex show --memory-id <memory_id> --section <section_ref> --content-version <content_version> --machine <machine>
search, sessions, session, session batch, show, context, and usage
support --format jsonl|json|text; search also supports toon. Search, session
listings, transcript pages, and batch reads keep JSONL as their default. show and
context default to one JSON object, while usage defaults to text.
Modern OpenCode sessions stored in opencode*.db under
~/.local/share/opencode are discovered automatically, alongside OpenCode's
legacy JSON storage. To use one or more alternate data roots, set
OPENCODE_DATA_DIR to a comma-separated list of directories before running
the installed memex binary.
The default scan indexes Pi sessions from ~/.pi/agent/sessions and Oh My Pi sessions
separately from ~/.omp/agent/sessions plus named profile session directories.
Plaintext reasoning is excluded by default because it is usually low-value search noise. Opt
in with memex index --include-reasoning; reasoning records remain BM25-only. Encrypted and
redacted payloads, along with reasoning signature fields, are always excluded.
Search (JSONL default):
memex search "your query" --limit 20
Search output is compact by default. Each hit contains machine, score, ts,
doc_id, record_id, project, role, session_id, source, source_path,
snippet, and matches. Lexical snippets center the earliest literal match;
semantic-only hits use a compact prefix. Use --fields for an explicit projection or
--full to restore every legacy search field, including full record text and linkage
metadata.
Agent-facing TOON output is available for search:
memex search "your query" --format toon
It returns one TOON document with a results array and preserves the same values as
JSON output, including custom --fields and --full. --format jsonl is the default;
--format json returns one JSON array, --format text is human-readable, and
--format json --pretty pretty-prints that array.
TUI:
memex tui
Notes:
- Embeddings are disabled by default. Pass
--embeddingsto generate them during indexing. - Searches run an incremental index refresh by default (configurable).
- Index updates are copy-on-write generations. A writer builds a private generation and atomically publishes it when complete; searches keep using the previous immutable generation until then.
- Concurrent searches coalesce stale auto-index work: one process refreshes while other lexical
searches query the last committed index. Semantic and hybrid searches wait for vector writes to
finish. Explicit
index,index rebuild,index embed, and analytics backfill operations wait up to 30 seconds for another index mutation to finish and report its holder on timeout.
Bounded transcript page:
memex session <session_id>
Single bounded record:
memex show <doc_id>
memex show --record-id <record_id> --machine <machine_id>
Read commands return at most 16,000 Unicode content characters by default. The budget
counts text, tool_input, and tool_output together; JSON metadata and wire bytes do
not count. Each record includes content metadata shaped like:
{"returned_chars":16000,"total_chars":24000,"truncated":true,"continuations":[{"field":"tool_output","offset_chars":12000,"total_chars":20000}]}
Continue a truncated field from its reported Unicode character offset:
memex show --record-id <record_id> --machine <machine_id> \
--field tool-output --offset-chars 12000
--field accepts text, tool-input, or tool-output. Use --max-chars N to
choose another shared budget. --full disables the content budget and conflicts with
--max-chars.
memex session returns 50 records by default and shares the 16,000-character budget
across them. Its JSONL stream ends with a {"type":"page",...} object containing
offset, total, and next_offset. Use next_offset with --offset to read later
records, and use memex show with a record's continuation metadata to finish a field
that was truncated within a record. memex session --full preserves the unbounded
transcript behavior; adding --limit bounds its record count. For stream commands,
--format json wraps the same entries in an array; for session, this includes
its final page marker. Use
--format json --pretty for indented arrays. show and context also accept
--pretty with their default single-object JSON output.
Human output:
memex search "your query" --format text
Multiple machines over SSH
Each machine keeps and updates its own index. The coordinating memex queries configured machines concurrently over SSH, merges their rankings, and keeps the originating machine attached to every result. The TUI uses the same backend for search, history previews, sharing, token charts, and interactive resume.
Install a protocol-compatible memex binary on each machine and configure SSH normally in
~/.ssh/config. Then add machines to ~/.memex/config.toml:
[multi_machine]
default = ["local", "mini"]
timeout_seconds = 10
[[machines]]
id = "mini"
label = "Mac mini"
[machines.control]
type = "ssh"
host = "mini" # SSH config alias
[machines.index]
type = "remote"
The ssh = "mini" field is a shorthand for the machines.control table. Set
command = "/path/to/memex" when memex is not on the non-interactive SSH PATH.
SSH keys, users, ports, jump hosts, and host-key policy remain in ~/.ssh/config.
memex search "tantivy corruption" # configured defaults
memex search "tantivy corruption" --machine mini
memex usage --machine local --machine mini
Unavailable machines produce partial results with a warning. Remote token usage requires
token_usage = true in that machine's memex config. The index backend is intentionally
separate from the control transport so an immutable S3 split backend can replace
type = "remote" later while SSH continues to handle indexing and resume.
In the TUI, use the machines dropdown (or press m while the session list is focused)
to select the configured default set, local, or one remote machine. The machine, source,
project, and query filters are shared by the session results and token chart; the range
dropdown bounds the chart.
Opening federated results
Search results include the originating machine. Use it when opening a document or session from another machine:
memex show 123 --machine mini
memex show --record-id rid1_example --machine mini
memex session SESSION_ID --machine mini --source-path /path/on/mini/session.jsonl
memex session SESSION_ID --machine mini --offset 50
memex context --record-id rid1_example --machine mini --before 5 --after 5
memex context selects a source/session/path neighborhood around a stable record ID,
document ID, or native event ID. It accepts --offset into that neighborhood and returns
offset, total, and next_offset, while applying the same shared content budget and
per-record continuation metadata as session. Bounded pages use order: "anchor_first"
so the requested record cannot be crowded out by preceding content; remaining records
stay chronological. --full uses order: "chronological". Keep the same mode when
following next_offset. --expand-interactions adds only directly
owned tool calls/results; it does not follow conversation ancestry. Expansion is capped at
100 additional records and reports an actionable error when the cap is exceeded.
New indexes provide exact canonical record-ID lookup plus indexed document/event lookup.
Bounded remote reads require a peer with the new read RPC operations. If a peer is older,
update it. Legacy document-ID show and session reads can explicitly use
--full for complete-content reads; remote context and stable-ID reads need an updated
peer in either mode. Memex does not silently fetch unbounded bodies as a fallback. Character limits apply before the peer
serializes content. They are not limits on JSON metadata or total network bytes.
Existing indexes remain readable: canonical record IDs fall back to a stored-record scan until the index is rebuilt. Neighborhood reads use indexed session, source, and source-path scope.
Session and batch pages are limited to 500 records. To fetch several sessions in one bounded request, provide JSONL on stdin or as a file:
{"machine":"mini","session_id":"SESSION_ID","source_path":"/path/on/mini/session.jsonl","offset":0,"limit":500}
memex session batch requests.jsonl
cat requests.jsonl | memex session batch
The batch input accepts at most 32 requests and returns one JSONL response per request in
input order, including machine provenance, offset, total, next_offset, stable
record_id values, and per-record content metadata. One 16,000-character budget is shared
across all requests in input order. Use --max-chars N to change it or --full for full
record content; --full conflicts with --max-chars. The request envelope's
next_offset resumes later records.
Token usage
Token tracking is disabled by default because it scans and caches local agent logs. Enable it in ~/.memex/config.toml:
token_usage = true
Then reconstruct historical token usage from local Claude Code, Codex, Cursor, OpenCode, Pi, Oh My Pi, OpenClaw, Copilot, Grok, Hermes, Jcode, and Muse records:
memex usage
memex usage --source codex --since 2026-07-01
memex usage --source grok --since 2026-07-01
memex usage --source hermes --since 2026-07-01
memex usage --format json --events
--cost auto prefers a provider-stored request cost and otherwise applies the versioned built-in API price catalog. --cost source uses only stored costs; --cost reprice always applies the catalog. Calculated costs are API-equivalent estimates, not subscription charges. Events with unknown models or prices remain in token totals and are reported as unpriced.
Each source also reports prompt-cache efficiency: the cache hit rate, plus an estimate of cache waste — prompt tokens that were in the previous request's prompt but were re-billed at input rates instead of read from cache, priced at catalog rates and attributed to idle gaps past the cache TTL or model switches where those apply. Waste is estimated per transcript file chain and errs toward undercounting: subagent sidechains, ambiguous dedupe deltas, and prompts that shrink past compaction are not counted.
Local token history is reconstructed usage. It is deliberately kept separate from authoritative subscription quota percentages and reset windows. Hermes usage is read from state.db in the Hermes root and immediate profile directories (HERMES_PROFILE_ROOTS, HERMES_HOME, or HERMES_STATE_DIR, with safe local defaults), opened read-only and WAL-compatible. The sessions aggregate is used for legacy databases; newer session_model_usage delta rows are emitted by model/task and reconciled against the session aggregate so historical seeded rows count once and positive residuals are retained. Snapshots, backups, arbitrary nested databases, JSON/JSONL transcripts, and auth, config, memory, skills, plugins, and cron paths are excluded. Hermes queries never read message, system-prompt, tool, reasoning-text, or credential tables. Usage output contains counters and metadata only. Any API-equivalent cost estimate is analytical and is not a Hermes subscription quota measurement; source-stored API costs are not quota percentages. Hermes parser-version changes invalidate only Hermes usage cache rows.
When token tracking is enabled, press Ctrl+T on the TUI home screen to toggle the 30-day activity chart between session count and token volume. Token activity is loaded lazily and cached when first shown.
Build from source
cargo build --release
Linux with NVIDIA CUDA support:
cargo build --release --features cuda
Binary:
./target/release/memex
Setup (manual)
If you built from source, install the skill embedded in that build:
memex skill install --target shared
Omit --target for an interactive menu of detected Claude/Codex/OpenCode/Pi/Oh My Pi installations.
MCP server
Run memex mcp to serve the Model Context Protocol over Streamable HTTP at
http://127.0.0.1:5363/mcp using the official Rust SDK (rmcp). Use
--listen 127.0.0.1:5364 to change the socket and --root /path/to/memex-data
for a custom data directory. This is separate from Memex's internal rpc protocol.
MCP can also share the long-running indexing daemon:
memex daemon run --mcp
memex daemon enable --mcp
--mcp-listen <address> implies --mcp. MCP forces the daemon into continuous
mode. Set index_service_mcp = true in config.toml to opt in by default, or
pass --no-mcp to disable configured MCP serving for one daemon invocation.
Standalone HTTP and daemon-hosted MCP share the [mcp] configuration:
index_service_mcp = true
[mcp]
listen = "127.0.0.1:5363"
allowed_hosts = ["memex.example.com"]
allowed_origins = ["https://chat.example.com"]
public_url = "https://memex.example.com"
Command-line values override the corresponding shared configuration values.
For self-hosted ChatGPT or Claude access, enable the built-in single-owner OAuth flow with the public origin of your instance:
memex mcp --public-url https://memex.example.com
Point your existing HTTPS reverse proxy at http://127.0.0.1:5363, forwarding
both /mcp and the OAuth/discovery routes at the root. The public URL must be an
origin, without a path prefix, query, or fragment. Plain HTTP is accepted only
for loopback development. Memex automatically allows the configured public Host.
Add https://memex.example.com/mcp as a custom connector in ChatGPT or Claude,
select OAuth where prompted, and leave client credentials empty to use automatic
registration. Memex presents one approval page showing the requesting client and
its redirect destination. Enter your instance's owner key on that page and
approve access. There is no separate login, signup, gateway, or identity provider.
Client names are supplied by the requesting app; inspect the redirect destination
before approving. Approval grants access to the history this instance can read,
including its configured remote machines.
The owner key is in <root>/web-auth-token (normally ~/.memex/web-auth-token),
the same restricted key file used by Memex's web server. Startup prints its path,
never the key. Enter it only on your Memex instance's approval page; the chat
client receives its own access and refresh tokens, including when it requests only
memex:read or omits the scope. Access tokens last one hour; rotating refresh tokens
last 30 days from issuance. Grants survive server restarts.
To disconnect all OAuth clients, run:
memex mcp --revoke-all
Use the same --root as the server if customized. Revocation invalidates issued
OAuth grants without rotating the owner key. Existing direct bearer clients can
still use that key, so revoke-all does not disconnect those clients.
Without --public-url, HTTP uses the existing static bearer configuration:
Authorization: Bearer <token> from web-auth-token. For a browser that calls
Memex directly, allow its exact origin:
memex mcp --allowed-origin https://chat.example.com
Repeat --allowed-origin for multiple origins. Browser origins are denied by
default; clients without an Origin header still require bearer authentication.
CORS preflights do not require authentication. Remote clients need a reachable
HTTPS URL, typically through a TLS reverse proxy to the loopback listener; add
--allowed-host memex.example.com when the proxy preserves that Host header.
Binding to loopback alone does not make the server reachable by hosted chat apps.
For private ChatGPT setups, Secure MCP Tunnel
can instead connect to memex mcp --transport stdio; this requires OpenAI tunnel
access and a running tunnel client. It is an alternative connection path, separate
from the public HTTPS/OAuth setup above.
The transport follows the 2026-07-28 Streamable HTTP specification: one POST endpoint with request-scoped SSE responses and no protocol sessions or standalone GET stream. The SDK also accepts older clients' initialize flow without creating a session. HTTP disconnects cancel the request's wait for retrieval.
For local process clients, stdio remains available with memex mcp --transport stdio.
For clients using an mcpServers configuration:
{
"mcpServers": {
"memex": { "command": "memex", "args": ["mcp", "--transport", "stdio"] }
}
}
Use the absolute path to your built or installed memex binary if it is not on
the client's PATH. For a local build, run mbx build (or cargo build when
Boxington is unavailable) and use the resulting binary. Existing installed
versions need this change before they can run mcp.
| Tool | Behavior |
|---|---|
search |
Compact hits with provenance, match snippets, selected machines, and failures. Shares CLI ranking, multi-query fusion, filters and projection. |
sessions |
Recent local sessions, including resumption commands as data. Reads existing analytics without auto-indexing. |
show |
Direct record read; supports stable record_id, legacy doc_id, or scoped event_id, and continuation within a field. |
context |
Anchor-first neighborhood, optionally expanding directly owned tool interactions. |
session |
Chronological transcript pages, defaulting to 50 records. |
hydrate |
Up to 32 session-page requests with a shared budget in input order and explicit per-request failures. |
Search accepts query, additional_queries (up to eight queries total), mode
(lexical, hybrid, semantic), cwd, project, source, role, tool,
session, origin, since, until, machines, ranking controls, and sort
(score or ts). It defaults to 20 hits and unique_session: true; set
top_n_per_session: 2 for two hits per session or unique_session: false for
individual matches. Search and sessions accept at most 500 results.
Read tools share a default 16,000 Unicode-character content budget, adjustable
with max_chars from 1 to 64,000. Metadata is outside that budget. Inspect
content.truncated and content.continuations: next_offset advances records,
while show with field and offset_chars retrieves omitted field content.
Fields are text, tool_input, and tool_output. MCP reads always stay bounded.
Preserve the returned machine and source path when opening a result.
Tools return structured JSON plus a JSON text fallback. Search and hydration
return successful results alongside failures; a tool-level error sets MCP
isError. Session discovery is local; search uses the existing configured machine
defaults, and read tools accept a machine ID. Remote retrieval uses existing SSH
configuration and requires peers that support bounded reads.
Search retains configured auto-index behavior on local and remote machines. Handshake, session discovery, and transcript reads do not trigger ingestion; semantic search may load an embedding model. Run the daemon separately when predictable search latency matters. Up to four retrieval calls run at once; MCP cancellation stops waiting but synchronous work can finish under its existing timeouts. Index readers are opened per call so a running server sees newly published generations. Diagnostics go to stderr; in stdio mode, stdout is reserved for MCP.
The server supplies retrieval guidance during initialization: read known IDs directly, search exact anchors first, expand progressively, verify source records, and treat historical transcript content as evidence rather than instructions.
Search modes
| Need | Command |
|---|---|
| Exact terms | search "exact term" |
| Fuzzy concepts | search "concept" --mode semantic |
| Mixed | search "term concept" --mode hybrid |
Common filters
--project <name>--role <user|assistant|tool_use|tool_result>--tool <tool_name>--session <session_id>--source claude|codex|cursor|opencode|pi|omp|openclaw|copilot|grok|hermes|jcode|muse--since <iso|unix>/--until <iso|unix>--limit <n>--min-score <float>--sort score|ts--top-n-per-session <n>--unique-session--fields score,ts,doc_id,record_id,session_id,snippet--full(all legacy search fields; conflicts with--fields)--mode lexical|semantic|hybrid--format jsonl|json|text|toon--pretty(pretty-print JSON output)
Default JSONL search output uses the compact fields documented above. Full or explicit
projections can also include tree/linkage metadata:
event_id, parent_event_id, logical_parent_event_id,
parent_session_id, thread_source, conversation_kind,
parent_tool_use_id, source_tool_use_id, and
source_tool_assistant_uuid.
Memex daemon
Works on macOS (launchd) and Linux (systemd).
Run indexing and any configured Web UI or MCP server in the foreground:
memex daemon run
Enable:
memex daemon enable
memex daemon enable --continuous
memex daemon enable --web-ui
Regenerate the daemon from current config and restart it:
memex daemon restart
Inspect the registered daemon and whether it is serving the Web UI or MCP:
memex daemon status
Open an authenticated browser session:
memex web open
Disable:
memex daemon disable
The daemon reads config defaults for its mode, interval, listeners, and log paths. Flags override those defaults.
Reclaiming obsolete index generations
After an upgrade, normal indexing automatically migrates a legacy index and removes obsolete pre-lease generations. It preserves the committed Tantivy segments without rebuilding or reparsing conversation history. No user action is required.
For diagnostics or to reclaim space immediately without waiting for the next index run, stop the background daemon and close TUI/Web readers, then preview and run GC:
memex daemon disable
memex index gc --dry-run
memex index gc --offline
memex daemon enable --web-ui # or restore the mode you previously used
memex index gc validates the committed index, hard-links only its live Tantivy segments into a clean
generation, atomically switches CURRENT, validates the document count again, and then removes
unreachable generations. It does not rebuild the index and does not rewrite live segment data.
The explicit command retains an --offline acknowledgement because it performs cleanup without a
normal index publication.
On Linux, creates systemd user units in ~/.config/systemd/user/. On macOS, creates a launchd plist in ~/.memex/.
On successful enable, memex writes auto_index_on_search = false to config when that setting is absent, so searches do not duplicate daemon work. Explicit user config is preserved.
--web-ui implies continuous mode and serves a local search and transcript browser at
http://127.0.0.1:6363. It mirrors the TUI's core workflow with search-as-you-type,
source and project filters, a persistent session list, and Matches/History transcript
previews. The server binds to loopback by default because the index
contains private conversation history. Memex refuses non-loopback HTTP listeners. If
remote access is required, use an authenticated TLS reverse proxy to 127.0.0.1 that
injects the installation bearer token into upstream requests. To use a different local port:
memex daemon enable --web-listen 127.0.0.1:8080
memex web open --listen 127.0.0.1:8080
The first Web UI start creates ~/.memex/web-auth-token with mode 0600. Private API
routes require that token as Authorization: Bearer ... or a browser session established
by web open. Browser links carry a signed, one-time credential in the URL
fragment, remove it before navigation continues, and exchange it for an HttpOnly,
same-origin cookie. JavaScript cannot read the cookie, and Memex does not store browser
credentials in localStorage or session storage. Browser sessions survive refreshes and
reopened tabs, expire after 12 hours, and are invalidated whenever the daemon restarts.
To run the same UI in the foreground without changing the background daemon:
memex web serve
memex web is shorthand for memex web serve; foreground startup prints a one-time
login URL. A background memex daemon never writes that credential to its service logs.
Run memex web open from a terminal to open an authenticated browser session.
The browser frontend lives in web/, uses React and shadcn components, and is
built with cd web && bun install && bun run build. The generated static assets
are embedded in the memex binary, so serving the UI does not add a JavaScript
runtime to the daemon.
Embeddings
Enable during indexing:
memex index --embeddings
Recommended when embeddings are on (especially non-potion models): run the background
daemon with memex daemon enable --continuous, and consider setting auto_index_on_search = false
to keep searches fast.
Embedding model
Select via --model flag or MEMEX_MODEL env var:
| Model | Dims | Speed | Quality |
|---|---|---|---|
| minilm | 384 | Fastest | Good |
| bge | 384 | Fast | Better |
| nomic | 768 | Moderate | Good |
| gemma | 768 | Slowest | Best |
| potion | 256 | Fastest (tiny) | Lowest |
memex index --model minilm
# or
MEMEX_MODEL=minilm memex index
Execution provider
Select via execution_provider in config or MEMEX_EXECUTION_PROVIDER:
| Provider | Platforms | Notes |
|---|---|---|
| auto | all | Default. Uses CoreML on macOS, CPU elsewhere |
| cpu | all | Force CPU execution |
| coreml | macOS | Uses CoreML; compute_units controls ane/gpu/cpu/all |
| cuda | Linux/NVIDIA | Requires a binary built with --features cuda and CUDA 12/cuDNN runtime libraries |
When execution_provider = "cuda", you can optionally select a GPU with
cuda_device_id or MEMEX_CUDA_DEVICE_ID.
When loading CUDA, memex first tries the system loader paths, then any
configured cuda_library_paths / cudnn_library_paths, then common CUDA install
locations and active venv / conda site-packages/nvidia/*/lib directories.
If your system keeps CUDA or cuDNN in a nonstandard location, set
MEMEX_CUDA_LIBRARY_PATHS and MEMEX_CUDNN_LIBRARY_PATHS or the matching config
keys.
Config (optional)
Create ~/.memex/config.toml (or <root>/config.toml if you use --root):
embeddings = true
auto_index_on_search = true
include_reasoning = false # opt in to plaintext reasoning; encrypted/redacted payloads stay excluded
token_usage = false # opt in to local token and cost tracking
model = "minilm" # minilm, bge, nomic, gemma, potion
execution_provider = "auto" # auto, cpu, coreml, cuda
cuda_device_id = 0 # optional, when execution_provider = "cuda"
cuda_library_paths = ["/usr/local/cuda/lib64"] # optional list of CUDA library dirs
cudnn_library_paths = ["/usr/lib/x86_64-linux-gnu"] # optional list of cuDNN library dirs
compute_units = "ane" # CoreML only: ane, gpu, cpu, all
scan_cache_ttl = 3600 # seconds (default 1 hour)
max_indexed_tool_input_bytes = 65536 # 64 KiB default
max_indexed_tool_output_bytes = 262144 # 256 KiB default
exclude_paths = ["~/.claude/projects/*-client-*", "~/work/**"] # never index matched transcripts
index_service_mode = "interval" # interval or continuous
index_service_interval = 3600 # seconds (ignored when mode = "continuous")
index_service_poll_interval = 30 # seconds
index_service_web_ui = false # serve local browser; forces continuous mode when true
index_service_mcp = false # serve MCP from the daemon; forces continuous mode when true
index_service_web_listen = "127.0.0.1:6363"
index_service_label = "memex-index" # service name (default: com.memex.index on macOS)
index_service_systemd_dir = "~/.config/systemd/user" # Linux only
claude_resume_cmd = "claude --resume {session_id}"
codex_resume_cmd = "codex resume {session_id}"
cursor_resume_cmd = "cursor-agent --resume {session_id}"
opencode_resume_cmd = "opencode --session {session_id}"
pi_resume_cmd = "pi --session {source_path_shell}"
# copilot_resume_cmd = "your-copilot-resume-command {session_id}"
grok_resume_cmd = "cd {cwd_shell} && grok --resume {session_id}"
jcode_resume_cmd = "cd {cwd_shell} && jcode --resume {session_id}"
muse_resume_cmd = "cd {cwd_shell} && muse resume {session_id}"
herdr_resume = "tab" # inside a herdr pane: "tab" (default), "split", or "off"
[mcp]
listen = "127.0.0.1:5363"
allowed_hosts = []
allowed_origins = []
# public_url = "https://memex.example.com"
Daemon logs and the plist live under ~/.memex by default (macOS). On Linux, systemd units are created in ~/.config/systemd/user/.
scan_cache_ttl controls how long auto-indexing considers scans fresh.
include_reasoning defaults to false. Set it to true (or pass memex index --include-reasoning) to add plaintext reasoning as BM25-only records. Encrypted
and redacted reasoning payloads are always excluded.
max_indexed_tool_*_bytes limits oversized tool payloads while leaving user and assistant text
unchanged. memex keeps roughly the first three quarters and final quarter, with a marker reporting
the omitted middle. Each value must be at least 1024 bytes. Run memex index rebuild to apply
new limits to records that are already indexed.
exclude_paths takes glob patterns matched against transcript source paths at index time, so
matched transcripts never enter the index (a leading ~/ is expanded to your home directory).
Adding a pattern also removes records previously indexed from matched paths — no rebuild
required. For one-off runs, pass --exclude GLOB (repeatable) to memex index.
execution_provider applies to ONNX-backed models; potion uses the model2vec backend.
cuda_library_paths and cudnn_library_paths accept path lists and are only used
when execution_provider = "cuda".
Resume command templates accept {session_id}, {project}, {source}, {source_path}, {source_dir}, {cwd}, plus shell-quoted {source_path_shell}, {source_dir_shell}, and {cwd_shell}.
The skill definitions are bundled in skills/.
herdr plugin
This repo is also a herdr plugin: it turns the memex TUI into a herdr-native session desk. Browse and search every past agent session from a herdr pane, then resume one into a new herdr tab.
herdr plugin install nicosuave/memex
Or from a checkout:
cargo build --release
herdr plugin link .
install reuses a memex already on your PATH when it is current, otherwise it downloads the
release build matching the plugin version. link uses target/release/memex from the checkout.
| Action | What it does |
|---|---|
memex: session palette |
Recent sessions as an overlay: Enter resumes into a new tab, quitting returns focus where it was |
memex: recent sessions here |
The palette pre-filtered to the focused workspace's repo |
memex: session desk |
Opens the TUI zoomed over the focused pane |
memex: toggle sidebar |
Opens the TUI as a split |
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This is great!