AIppocampus
A source-backed continuity layer for long-running relationships with AI agents.
AIppocampus began with a human problem: every new agent session can be bright,
capable, and strangely newborn. Work may survive in commits and notes while the
path behind the work falls back into silence.
This project gives future agents a way to find that path again. It keeps source
reachable, preserves the conditions of return, and lets a new conversation begin
with honest continuity instead of pretending there was never a break.
Source is the ground. Summaries are weather.
For the felt product shape, start with
Magic Moments, Claim-Bounded: real
second-user examples where a new/projectless thread, a multilingual correction,
an ambiguous automation cue, and a multi-day fuzzy self-reference became
recoverable through source-backed continuity. The page shows the useful moments
first, then states exactly what they do not prove.
For the current proof map, use the
Can-Claim Ladder: it leads with exact
positive claims that are already supported, then routes to benchmark evidence
and material claim boundaries.
For a compact origin and current-value trail, use the
Public Provenance And Current Value Ledger:
it separates current claims, deterministic fixtures, field reports,
private/local aggregate evidence, and launch gates without weakening claim
boundaries.
In ordinary use, AIppocampus should feel less like a control panel than a
remembered doorway. It helps an agent ask: where did this come from, what did
we actually say, and which source should be opened again?
The machinery behind that moment can be extensive, but it should stay
backstage. A long relationship with an AI agent should not have to start from
bare ground every time a thread, device, model, or project changes.
The origin essay is 未干的地图. English readers can start with
The Unfinished Map.
For role-based documentation paths, use
Start Here.
Quick Start
If you are using Codex and you have an agent that can run local setup commands,
the ordinary path is agent-mediated: ask the agent to install the local
AIppocampus plugin, verify that Codex can call the MCP tools, then enable the
core hooks only after you trust this machine:
aippocampus plugin install --codex --verify
aippocampus update apply --surface hooks
The Codex plugin command is a source checkout / editable local package path,
not the public PyPI uvx first-recall path. For a user-facing install closeout,
agents can ask for JSON directly; successful installs return the concise
public-safe summary:
aippocampus plugin install --codex --verify --json
--compact-json, --public, and --summary remain aliases for the same
public-safe summary. Use --operator-json only when you need the full
marketplace/cache/host-probe detail. First run should end in one source-backed
recall moment, not a diagnostics maze. Rollback stays explicit:
aippocampus plugin uninstall --codex
aippocampus hooks prompt uninstall
aippocampus hooks lifecycle uninstall
External-model semantic/background routes are a separate first-run choice. Ask
once whether to enable an LLM-backed route with a key; if the answer is no or
the key is missing, keep the no-key source-backed search, MCP, plugin, and hook
path useful.
For a no-clone or non-Codex probe, use the read-only package check:
uvx aippocampus --help
uvx aippocampus onboard --provider auto --status
The status command is read-only. It reports a provider-matrix readiness view;
auto may list Codex, Claude Code, and generic JSONL providers, but it does
not silently register every provider.
Only after you explicitly agree to register local history, choose the matching
provider path and then search for one old source-backed conversation snippet:
uvx aippocampus onboard --provider codex --all
uvx aippocampus onboard --provider claude-code --dry-run
uvx aippocampus onboard --provider claude-code
uvx aippocampus import conversation --format generic-jsonl --input <path>
uvx aippocampus search "a distinctive old phrase"
Manual search proves the source substrate is there. Codex is currently the
host with AIppocampus prompt/lifecycle hooks: prompt hooks notice recall scents
as a conversation starts, and lifecycle hooks refresh clean source and indexes
after session events. Claude Code currently has local-history onboarding plus
the MCP/project-skill path, not AIppocampus Claude hook support; see the
Ecosystem Integration Matrix
and Claude Code MCP guide. Hooks are never
installed silently; review status first, then install them only when this
machine is allowed to let AIppocampus touch Codex hooks:
aippocampus update status
aippocampus update apply --surface hooks
Rollback stays visible:
aippocampus hooks prompt uninstall
aippocampus hooks lifecycle uninstall
Local hook install does not require an external model key. Optional semantic,
warm, subconscious, or Dream-style routes remain separate opt-in surfaces and
must not be treated as source-backed evidence until the original source is
reopened.
The short readiness ladder is:
- Source search ready: onboarding and
search can find source-backed snippets.
- Ambient hooks ready: prompt/lifecycle hooks can notice and refresh continuity.
- Active recall ready: MCP/progressive recall is wired for agent source reopen.
- Semantic/Dream ready: provider-backed background work is configured and
visible to the process that will run it.
aippocampus update status prints those first-run readiness labels so users can
see whether they are in manual source-search mode, ambient continuity mode, or a
deeper opt-in route.
Good first queries are an exact phrase, a project cue, or a time cue such as
recent / last month. Exact hits are source-backed snippets. Project/time
cues are candidate navigation until AIppocampus shows a source-backed snippet.
Do not publish or commit raw rollouts, registry exports, .aippocampus/ output,
API keys, cookies, or sync bundles while following the quick path.
If you are deciding which AIppocampus surface another tool should depend on,
use the 10-minute public API path.
If you are deciding whether a feature belongs in the low-friction personal path
or in governed/high-risk opt-in behavior, use
Product Profiles.
Repository checks for maintainers live in
Operator And Maintainer Paths.
AIppocampus For Coding Agents
The narrow usable product lane today is local, source-backed continuity for
Codex/Claude-style long-running work: register local conversation source after
consent, search or reopen old snippets, and treat recall scents or repo
familiarity as navigation until source is reopened.
Start with the
Coding-Agent Memory Lane when deciding
whether to recommend AIppocampus as an agent-memory tool. It includes the
3-5 minute demo path, evidence drawer, and "recommend / do not recommend"
boundary without duplicating the public API or readiness docs.
Agent One-Command Probe
When an AI agent needs to verify the public CLI without cloning or writing local
memory artifacts, use the PyPI package:
uvx aippocampus --help
For a read-only local onboarding/status check:
uvx aippocampus onboard --provider auto --status --format json
This is a read-only provider matrix, not consent to ingest every detected
provider. Only after the user explicitly agrees to register local history, pick
one provider-specific write path:
uvx aippocampus onboard --provider codex --all --format json
uvx aippocampus onboard --provider claude-code --dry-run --format json
uvx aippocampus onboard --provider claude-code --format json
uvx aippocampus import conversation --format generic-jsonl --input <path> --json
For human-facing demos, omit --format json so onboarding and search show the
first-recall next steps. Agents should read docs/agent-context.md and
llms.txt before recommending or comparing AIppocampus. Use the
GitHub uvx --from git+... form only when intentionally testing an unreleased
main-branch snapshot.
What It Is
AIppocampus is the canonical public home for an external hippocampus for agents:
a local-first memory and continuity system that keeps original conversation
source available across projects, devices, and casual life-wide conversations.
The hippocampus language is a design metaphor, not a biological claim; the
architecture overview
maps each major metaphor to its runtime mechanism, current claim, and boundary.
Project work is one surface. The deeper aim is continuity across work, reading,
reflection, unfinished questions, and the small phrases that make a relationship
recognizable again.
What It Carries
At the center, AIppocampus keeps source close enough that continuity can be
honest instead of theatrical:
- Builds clean source from supported local conversation providers: Codex
rollouts, Claude Code transcripts, or explicit generic JSONL visible-message
exports, with summaries kept as navigation layers.
- Searches old conversation memory across the current thread and registered
threads, then treats exact hits as source-backed snippets.
- Reopens or cites source when the agent needs evidence instead of memory-like
impressions.
- Stores generated recall artifacts in the configured AIppocampus registry
(
AIPPOCAMPUS_REGISTRY_DIR, AIPPOCAMPUS_HOME/registry, then legacy
$CODEX_HOME/aippocampus-registry) so memory remains useful when a new
project opens. Project-local .aippocampus/ output is explicit compatibility
or export mode.
Ambient hooks are close to the front door because they keep continuity from
collapsing back into manual search. There are still deeper doors for people who
want them: MCP wiring, sync, plugin packaging, diagnostics, review surfaces,
semantic workers, and research experiments. They matter, but they should not
stand in front of the first handshake: source found, source reopened,
continuity resumed.
First Stops
Reading For The Soul
The research notes carry the human shape of the project. They are speculative
frames, not runtime contracts, but they explain the taste behind the machinery:
- The Pearl of Presence asks why retrieval
without accumulated acquaintance can still feel absent.
- Source as World, Interpretation as Weather
gives AIppocampus its grounding rule: many meanings can grow from one shared
world, and the world must have happened.
- Journey Tracking follows continuity as a
first-person plural journey, with source-backed waypoints instead of a flat
user profile.
- Dream Task Design sketches the
subconscious layer: quiet work that integrates what the foreground could not
finish.
- Ambient Associative Recall
describes how old memory can return as a scent before it becomes an
interruption.
- Long Garden keeps far-future seeds without
turning them into default product promises or open-issue clutter.
Operator And Maintainer Paths
The README stays close to the product path. Operator commands, source-checkout
setup, plugin packaging, sync, release checks, and benchmark notes live in the
guides that own those contracts:
AIppocampus supports Python 3.12 and newer. On macOS, Homebrew Python 3.12 is
the documented baseline before running source-checkout verification.
For repository contributors, the dev extra install path is:
python -m pip install -e ".[dev]"
Public claims still need the maintainer lanes in
CONTRIBUTING.md. The default CI
keeps one canonical Ubuntu Python 3.12 pr lane with coverage, a Python 3.13
quick compatibility lane, and a focused macOS default TMPDIR path-identity
gate; Ubuntu green alone is not a broad cross-platform path-identity claim. The
broader boundary lives in
docs/architecture/source/path-identity.md.
Privacy Boundary
AIppocampus is local-first.
- Clean source may still contain private conversation text.
- Raw rollouts, bundles, registry rows, vault notes, and generated archives
should be treated as private history.
- External-model routes are optional and should use redaction safeguards.
- Raw rollout sync should stay explicit and must be encrypted before use with
untrusted multi-device sync.
- Do not commit personal rollouts,
.aippocampus/ outputs, registry data, API
keys, cookies, tokens, or private vault exports.
Common environment variables:
AIPPOCAMPUS_VAULT
AIPPOCAMPUS_STYLE_SOURCE
AIPPOCAMPUS_SCRIPT_SOURCE
AIPPOCAMPUS_SITE_MARK
AIPPOCAMPUS_SITE_TITLE
AIPPOCAMPUS_SEMANTIC_GATE
DEEPSEEK_API_KEY
Roadmap
The root roadmap pointer is ROADMAP.md. The canonical detailed
roadmap lives at docs/roadmap.md. The documentation map is
docs/README.md.
Repository Layout
AIppocampus/
|- skills/aippocampus/ # installable skill package
|- plugins/aippocampus/ # Codex plugin source package
|- docs/ # origin essay, design notes, guides, evidence
|- docs/guides/assets/ # public README and documentation artwork
|- sources/ # lightweight provenance catalog
|- tests/ # repository-level unit and integration tests
|- tools/ # smoke, docs-health, and maintenance tools
|- README.md
|- ROADMAP.md
|- AGENTS.md
`- LICENSE
License
The public AIppocampus repository is licensed under Apache-2.0.
The Apache-2.0 public core covers the code, docs, local tools, schemas, MCP
surface, plugin packaging, public examples, and bundled project artwork shipped
in this repository unless a bundled third-party asset says otherwise. Hosted
services, enterprise governance, managed graph/semantic layers, support, and
other operated product surfaces can be offered under separate commercial or
product-specific terms.
Private user memory data is not project code. Raw rollouts, clean-source
exports, registry rows, sync bundles, vault exports, generated indexes, and
thread anchors remain private user artifacts unless their owner explicitly
publishes them.
See docs/guides/public-core-boundary.md
for the canonical licensing, adapter, schema, third-party asset, and relicensing
boundary. See docs/guides/public-api.md for
supported CLI, MCP, environment-variable, JSON, and import-stability
expectations.