HypAware

Modular logs and telemetry collector. Plugin-kernel architecture.

HypAware captures conversations and traffic from local AI clients (Claude Code, Codex), raw Anthropic / OpenAI API traffic, and OpenTelemetry logs / traces / metrics into a local query cache and optional Parquet exports. It runs fully local by default, no central server required, and a host can optionally join a fleet (hyp join) to forward its recordings to a central server.

Part of HypStack, an open-source stack for AI observability.

Quickstart

npx hypaware

On a TTY this launches the interactive walkthrough:

Pick the sources to capture. Any subset of:
- Claude Code conversations (claude)
- Codex conversations (codex)
- Raw Anthropic API traffic (raw-anthropic)
- Raw OpenAI API traffic (raw-openai)
- OTEL logs / traces / metrics (otel)
Pick an export strategy: keep the local query cache only, write Parquet files under <HYP_HOME>/exports, or configure later.
Pick a retention window (default 30 days).
HypAware composes a minimal config with only the bundled plugins it needs, writes it to <HYP_HOME>/hypaware-config.json, installs the persistent daemon (launchd on macOS, systemd --user on Linux), attaches the selected clients, and starts capturing.
The walkthrough finishes by printing the config path, daemon status, per-client attach results, and a first hyp query command to run.

For unattended installs (CI, scripted bootstraps, dotfiles) use the non-interactive flags:

hyp init --yes \
  --source claude --source otel \
  --client claude \
  --export local-parquet \
  --retention-days 30

Other init flags:

Flag	Meaning
`--yes` / `-y`	Accept defaults; do not prompt
`--no-daemon`	Skip daemon install and restart
`--dry-run`	Render the config + planned actions, write nothing
`--client claude\|codex`	Attach a client (repeatable)
`--source <id>`	Add a capture source (repeatable)
`--export <choice>`	`keep-local`, `local-parquet`, or `configure-later`
`--retention-days <N>`	Override the default 30-day retention window
`--from-file <config.json>`	Skip the picker and load a known-good config
`--bin <path>`	Override the binary path the daemon installer uses

Joining a centrally-managed fleet (`hyp join`)

hyp join enrolls a host in a fleet so its recordings are forwarded to a central sink:

hyp join <url> [token]
hyp join <url> --token-file <path>     # read the token from a file (recommended for MDM)
echo "<token>" | hyp join <url>        # or from stdin
hyp join <url> <token> --no-daemon     # write the seed only, skip daemon install

It writes a central-enrollment config (mode 0600) to a dedicated layer under config-control/, never to your local hypaware-config.json, so joining augments an existing install rather than replacing it, then installs and starts the daemon (unless --no-daemon is passed).

The policy token is a multi-use fleet-wide credential. Prefer --token-file or stdin over a positional argument, which would otherwise land in shell history and process listings. Other flags: --bin <path> overrides the binary the daemon installer records, and --no-daemon writes the seed without installing or restarting the daemon.

Files and directories

Path	Contents
`<HYP_HOME>/hypaware-config.json`	Active config (rewritten by `hyp init`)
`<HYP_HOME>/hypaware/`	Kernel state root
`<HYP_HOME>/hypaware/plugins/<name>/`	Per-plugin state
`<HYP_HOME>/hypaware/cache/`	Local query cache (Iceberg-backed)
`<HYP_HOME>/hypaware/sinks/<name>/outbox/`	Failed export rows awaiting retry
`<HYP_HOME>/hypaware/dev-telemetry/`	Daemon self-telemetry (logs, traces, metrics)
`<HYP_HOME>/hypaware/logs/daemon.{out,err}.log`	Daemon stdout / stderr (launchd / systemd)
`<HYP_HOME>/exports/`	Local Parquet exports (when the local-fs sink is enabled)

HYP_HOME defaults to ~/.hyp. Override it by exporting HYP_HOME=... before invoking the CLI or the daemon.

Querying captured data

hyp query sql "select count(*) from ai_gateway_messages"
hyp query sql "select count(*) from traces"
hyp query sql "select count(*) from logs"

Use hyp query schema <dataset> to see the columns available on each dataset, and hyp query status to inspect cache freshness per dataset.

Building and querying the activity graph

Alongside the row datasets, HypAware can project captured activity into a node/edge activity graph: which sessions ran in which app, against which model, using which tools, touching which files. The projection is deterministic (exact-key matching, no models), and the context-graph plugins are active by default.

Projection is a manual, cheap-to-rerun step. Build or refresh the graph from what has been captured, then walk it from a seed node:

hyp graph project                       # project captured data into the node/edge graph
hyp graph compact                       # merge duplicate rows (optional housekeeping)
hyp graph neighbors <node> --depth 2    # walk out from a seed node

hyp graph neighbors takes a node_id, natural key, or label as the seed, plus --depth, --direction out|in|both, --type <node_type>, --edge-type <type> (repeatable), and --limit. The graph is also plain data: the node and edge datasets are queryable through hyp query sql like any other dataset.

Claude Code and Codex additionally get a hypaware-graph skill (and a graph_neighbors tool) so an assistant can project and walk the graph on your behalf.

Attaching and detaching AI clients

Attach a single client (idempotent — running twice is a no-op):

hyp attach claude
hyp attach codex
# Equivalent flag form:
hyp attach --client claude
hyp attach --client codex

Detach (removes only HypAware-managed settings):

hyp detach claude
hyp detach codex
# Equivalent aliases:
hyp detach --client claude
hyp detach --client codex
hyp unattach claude
hyp unattach codex

Both commands support --dry-run and --json for inspection and scripting. Claude writes only HypAware-related keys to ~/.claude/settings.json; Codex writes a hypaware provider entry to ~/.codex/config.toml. Unrelated keys in either file are preserved.

Opting a folder out of recording (`.hypignore`)

A .hypignore file declares a data-usage policy for a directory subtree. It currently carries exactly one class, ignore: AI gateway exchanges (Claude / Codex) whose working directory is at or under a directory containing a .hypignore are never written to the local cache. The live LLM call is untouched; only persistence is suppressed.

Resolution is gitignore-style: from an exchange's cwd, HypAware walks up the directory tree, and any .hypignore found on the way governs. Dropping one file at a repo root covers the whole repo, but the file works anywhere in the ancestor chain, including outside a git repo.

Manage it with the CLI (idempotent; hand-authoring the dotfile is optional):

hyp ignore              # write a .hypignore at the repo root (or cwd if not in a repo)
hyp ignore <path>       # ignore a specific directory subtree
hyp ignore --check      # report whether cwd is ignored, which file governs, and
                        # how many already-cached rows from the scope remain
hyp unignore            # remove the governing .hypignore, re-enabling recording

hyp ignore writes a self-documenting file (a comment header plus the ignore token); an empty or comment-only .hypignore also means ignore. Pass --json to hyp ignore for a machine-readable result.

Two things to know:

Prospective only. A .hypignore gates future recording and backfills. Rows already captured before the file existed are left in place; hyp ignore --check surfaces that residual count.
Folder matching needs a cwd. Only the Claude and Codex pathways supply one, so .hypignore is a no-op for the raw-anthropic / raw-openai proxy and OTEL sources.

To pause recording for just the current Claude session (in-memory, reversible, not committed) use the /hypaware-ignore and /hypaware-unignore skills instead.

Daemon lifecycle

hyp daemon install      # launchd LaunchAgent (macOS) or systemd --user unit (Linux)
hyp daemon start        # ensure the service is started
hyp daemon status       # health snapshot
hyp daemon restart      # bounce after a config change
hyp daemon stop         # signal the running daemon to shut down
hyp daemon uninstall    # remove the service file (config + recordings are kept)

hyp daemon install --dry-run --json prints the rendered plist or unit content and target paths without touching the filesystem — useful for verifying what hyp init will install.

Troubleshooting

hyp status is the entry point for any "is HypAware working?" question. It prints the active config path, daemon install/run state, active plugins, source and sink rows, per-client attach state, retention window, cache size, and a recent-error count. Pass --json for the stable machine-readable shape that smokes and support tools rely on:

hyp status
hyp status --json

When something is wrong, hyp status surfaces a diagnostics: section with one row per finding. Each row carries a kind (a stable machine-readable identifier) and one or more repair: lines you can run directly. The common Phase 8 conditions:

kind	meaning	repair
`config_missing`	no `~/.hyp/hypaware-config.json` was found	`hyp init` or `hyp init --from-file <config.json>`
`config_invalid`	the loaded config failed schema / cross-plugin validation	`hyp init --from-file <config.json>`
`client_without_gateway`	a client plugin (Claude / Codex) is enabled but `@hypaware/ai-gateway` is not	re-run `hyp init`, then `hyp attach --client <name>`
`gateway_missing_anthropic_upstream`	`@hypaware/claude` enabled but no Anthropic upstream is registered on the gateway	re-run `hyp init` and pick the Anthropic upstream
`gateway_missing_openai_upstream`	`@hypaware/codex` enabled but no OpenAI upstream is registered	re-run `hyp init` and pick the OpenAI upstream
`sink_missing_encoder`	a local-fs sink is configured but no encoder plugin is enabled	re-run `hyp init` and pick "local Parquet export"
`client_attach_missing`	a client plugin is enabled but its settings file shows no HypAware marker	`hyp attach --client claude` or `hyp attach --client codex`
`daemon_binary_missing`	the daemon installer references a binary that no longer exists on disk	`hyp daemon install`
`daemon_loaded_no_pid`	the daemon service file is installed but launchd / systemd is not loading it	`hyp daemon restart`
`recent_errors`	the local telemetry directory has recent error log entries	inspect `~/.hyp/hypaware/dev-telemetry`, then `hyp daemon restart`

Useful follow-on commands when a diagnostic fires:

hyp daemon restart — bounce the persistent daemon
hyp daemon install — re-install the launchd / systemd unit
hyp attach --client claude / hyp attach --client codex — wire a selected client into the local gateway
hyp init --from-file <path> — rebuild the config from a known-good file without re-running the interactive picker

Release checklist

Run before tagging a new HypAware release:

npm test                  # if a test script is present
npm run typecheck         # if a typecheck script is present
npm pack --dry-run        # verify the published file set

Re-run the smoke battery and confirm every one is green:

hyp smoke package_bin_boot
hyp smoke cli_bundled_plugins_activated
hyp smoke daemon_foreground_start_stop
hyp smoke daemon_install_render
hyp smoke walkthrough_picker_to_first_query
hyp smoke client_attach_idempotent
hyp smoke gateway_claude_capture
hyp smoke gateway_codex_capture
hyp smoke hypignore_capture_drop
hyp smoke local_only_export_withhold
hyp smoke otel_loopback_capture
hyp smoke local_parquet_export
hyp smoke status_diagnostics

Finally, exercise the manual gate end-to-end on at least one macOS host and one Linux host:

npm pack
npx ./hypaware-*.tgz
hypaware status
hypaware daemon restart
hypaware query sql "select count(*) from ai_gateway_messages"
hypaware query sql "select count(*) from traces"
hypaware query sql "select count(*) from logs"
hypaware daemon uninstall

Layout

src/
  core/                 # the kernel
    observability/      # tracer, logger, meter, attrs, span helpers
    manifest.js
    dep_graph.js
    registry/           # capabilities, commands, datasets, sources, sinks
    runtime/            # paths, activation, loader, daemon runtime
    cache/              # intrinsic Iceberg-backed cache
    cli/                # dispatch, walkthrough, core_commands
    config/             # v2 schema, validator
    daemon/             # platform installers (launchd / systemd) + lifecycle
    plugin_install/     # resolver, fetch, lock, update_check
    sinks/              # cron driver + encoder utility
hypaware-core/
  smoke/                # `hyp smoke <name>` flows
  plugins-workspace/
    ai-gateway/         # @hypaware/ai-gateway
    otel/               # @hypaware/otel
    local-fs/           # @hypaware/local-fs
    format-parquet/     # @hypaware/format-parquet
    format-jsonl/       # @hypaware/format-jsonl
    claude/             # @hypaware/claude
    codex/              # @hypaware/codex
    central/            # @hypaware/central (bundled, opt-in via `hyp join`)
    gascity/            # @hypaware/gascity (bundled, opt-in)
bin/
  hypaware.js           # CLI entrypoint (bound to both `hypaware` and `hyp`)

Project documents

Design rationale lives in numbered LLP documents under llp/ (Linked Literate Programming). Start here:

llp/0000-hypaware.explainer.md — root overview and subsystem map
llp/0002-v1-scope.decision.md — what actually shipped in V1
llp/0001-adopting-llp.plan.md — how this docs system was set up

The former monolithic docs (hypaware-design.md, finish-v1.md, hypaware-implementation-plan.md) were decomposed into the LLP corpus and are preserved under llp/tombstones/.

docs/PLUGIN_AUTHORING.md — how to write a plugin (hyp plugin new / hyp plugin doctor)
hypaware-plugin-kernel-types.d.ts — public plugin interfaces

Name		Name	Last commit message	Last commit date
Latest commit History 201 Commits
.claude/skills		.claude/skills
.github/workflows		.github/workflows
bin		bin
docs		docs
hypaware-core		hypaware-core
llp		llp
notes-archive/llp-reviews		notes-archive/llp-reviews
scripts		scripts
src/core		src/core
test		test
.gitignore		.gitignore
AGENTS.md		AGENTS.md
CLAUDE.md		CLAUDE.md
CONTEXT.md		CONTEXT.md
README.md		README.md
hypaware-plugin-kernel-types.d.ts		hypaware-plugin-kernel-types.d.ts
package.json		package.json
tsconfig.build.json		tsconfig.build.json
tsconfig.json		tsconfig.json

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HypAware

Quickstart

Joining a centrally-managed fleet (`hyp join`)

Files and directories

Querying captured data

Building and querying the activity graph

Attaching and detaching AI clients

Opting a folder out of recording (`.hypignore`)

Daemon lifecycle

Troubleshooting

Release checklist

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HypAware

Quickstart

Joining a centrally-managed fleet (hyp join)

Files and directories

Querying captured data

Building and querying the activity graph

Attaching and detaching AI clients

Opting a folder out of recording (.hypignore)

Daemon lifecycle

Troubleshooting

Release checklist

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Project documents

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