Yiipu/dsh-agentmemory

dsh-agentmemory

dsh-agentmemory — a DSH (DeepSeek Harness) Cordis plugin that bridges a session’s activity into agentmemory, a local, self-hosted memory daemon.

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The plugin subscribes to the DSH Session lifecycle events, mirrors session activity into the agentmemory daemon (REST, default http://localhost:3111), and exposes memory_recall / memory_remember model tools. It additionally injects a memory window into model requests once per session through the agent/pre-step waterfall.

All configuration comes from the plugin’s row in cordis.yml — editing the config field of that row (or the file that carries it) is how you change configuration. There is no browser UI and no persisted config file.

agentmemory is a hard dependency. On load, the plugin checks <baseUrl>/agentmemory/livez before registering any capability (tools, listeners). If the daemon is unreachable or does not report status: ok, the plugin fails to load loudly — it does not silently degrade.

Capability overview

Capability	Implementation
Session lifecycle → agentmemory	session/created → session/start; session/event → observe (buffered); session/flush → flush to disk; session/disposed → session/end
Model tools (read)	memory_recall → POST /agentmemory/search (auto-locates project from the calling session)
Model tools (write)	memory_remember → POST /agentmemory/remember (decisions, preferences, architecture facts, and similar)
Memory injection	Sourced user/message via the agent/pre-step waterfall: ① project recall (form: 'recall') injects the project-level /context cross-session window once per session; ② semantic recall (form: 'semantic', optional) uses each user message to recall relevant memory titles via /smart-search; a pre-compaction re-inject keeps the project window when history compresses. The front end renders each injection as an independent “context injection” block (ContextMessageNode)
Configuration source	Read-only config from the cordis.yml row; no UI, no file persistence

Install (static composition)

Mount the row from cordis-row.example.yml into a host composition cordis.yml (or into a per-session agent preset’s composition under ${DSH_HOME:-$HOME/.dsh}/.agent-presets/<id>/). First install the package from GitHub into a profile:

dsh plugin --profile web add github:Yiipu/dsh-agentmemory

(A local dev checkout also works via dsh plugin --profile web add /path/to/checkout.)

Then add the row (@ begins a YAML reserved scalar, so the package name must be quoted):

- insert:
    - id: agentmemory-bridge
      name: "dsh-agentmemory"
      config:
        baseUrl: http://localhost:3111
        enabled: true

Validate: node scripts/boot-check.mjs (7 checks, needs the daemon on :3111); node test/smoke.mjs (end-to-end, needs the daemon on :3111).

Requires Node >= 20 and a shell capability seam (the standard bash/pwsh executors).

Hard dependency: the daemon must be reachable at load

agentmemory is a hard dependency. apply() probes <baseUrl>/agentmemory/livez with one curl before registering any capability:

• reachable and status: ok → loading continues;
• unreachable / not ok → plugin load fails (loudly), no silent degradation;
• no shell seam → load fails.

This is a load-time hard gate. If the daemon drops during a run the plugin is tolerant: every call is logged and contained, and it never vetoes a session lifecycle event or a model step.

Configuration keys

baseUrl, secret (below), enabled (bridge master switch), enableTools, enableSessionStartEnd, curlTimeoutMs, observeBatchLimit, maxContentChars, maxArgsChars, injectContext (project recall switch, default true), injectContextMaxChars (default 6000), injectContextOnCompaction (pre-compaction re-inject, default true), injectSemantic (semantic recall switch, default false), injectSemanticMaxResults (default 8), injectSemanticMaxChars (default 3000).

Keys omitted from a row are filled with defaults by Cordis according to the plugin’s Config schema — do not hand-write a merge. Cordis validates natively: an invalid value (such as curlTimeoutMs: -5) makes the plugin fail to load with a clear error. The full numeric bounds (min/max) are declared on each key in index.js.

secret: plaintext or an environment-variable reference

secret accepts two forms; whether you write plaintext is your choice:

Form	Behavior
secret: "xxx"	Plaintext, used verbatim as the Bearer token
secret: '${AGENTMEMORY_SECRET}'	Reads the env var; if unset → load fails (loudly)
secret: '${AGENTMEMORY_SECRET:default}'	Reads the env var; if unset → uses default
secret: '${AGENTMEMORY_SECRET:?goes nowhere}'	Reads the env var; if unset → fails with the message goes nowhere

Environment variables are resolved through the shell seam at the start of apply() (the sandbox has no direct env access).

Memory injection (read side → model + “context injection” front-end block)

The bridge uses DSH’s native agent/pre-step injection channel (the same pattern as dsh-time-context) and appends sourced user/message rows to the tail of the incoming message batch. The two injection routes each have a distinct job and both deduplicate at the event level — they do not re-inject on every tool step.

Route 1 — Project recall (form: 'recall', on by default)

Injects once per session the agentmemory /context project-level cross-session window (“what this project has done before”, excluding the current session). session/created → /session/start caches context from the response; the first step in agent/pre-step that has a cached window appends it once (st.injectedContext dedup); every user/message still refreshes the cache asynchronously.

Route 2 — Semantic recall (form: 'semantic', off by default)

Each user/message runs a /smart-search (BM25 + vector + graph) on the raw text and assembles the recalled memory titles into one injected message (st.semanticSeq dedups per message). Precise recall (/search) is still left to the agent’s explicit memory_recall tool.

Pre-compaction re-inject (injectContextOnCompaction, on by default)

compaction/start triggers a /context refresh and the next agent/pre-step re-injects the latest project window so project background survives history compression.

Session lifecycle → agentmemory mapping

The bridge maps every DSH event to an agentmemory standard hookType so the daemon’s compression pipeline reads real content (custom hookTypes collapse to {timestamp, hookType}, degrading summaries):

DSH event	hookType	standard data fields	dedup discriminator
user/message	prompt_submit	prompt=content	tool_input=content (identical prompts merge naturally)
assistant/message	post_tool_use	tool_name='assistant_message', tool_output=content	tool_input='#'+seq (unique; content not in Input)
tool/call	dsh_tool_call	tool_name='dsh_call'	tool_input='call#'+callId (not merged with the result)
tool/result (ok)	post_tool_use	tool_name/tool_input/tool_output (callMeta fallback)	tool_input=args
tool/result (err)	post_tool_failure	same + error	tool_input=args
turn/end	dsh_turn_end	—	tool_input='turn#'+seq (unique)

Dedup-safe design: agentmemory’s mem::observe drops duplicates by sha256(sessionId, tool_name||hookType, tool_input[0..500]) with a 5-minute TTL; a hit discards the observation. The bridge uses a per-session monotonic seq and natural content/callId as the tool_input discriminator, so multiple rows of the same kind all persist while identical prompts / identical (tool, args) results still merge naturally.

Model tools

Tool	Arguments	Description
memory_recall	query (required), limit?, project?, agentId?	Auto-locates project from the calling session; recalls across sessions. Scope by project, and optionally by agentId (omit = across every agent of the project, so historical pre-agentId rows stay recallable). Written rows are stamped with the plugin agentId: env AGENT_ID → config agentId → default "dsh"
memory_remember	content (required), type?, concepts?, ttlDays?	Curated, durable memory; type ∈ pattern/preference/architecture/bug/workflow/fact

Tools are defined with defineTool and registered through ctx.tools.register, and daemon transport runs over the host shell seam (inject: ['tools', 'shell']); both are cleaned up automatically with the plugin Fiber lifecycle. On failure, execute returns {ok: false, error} rather than throwing.

Model Experience

Common requests

What the model sees

The bridge does not alter accepted input. Its observable model input is additive after the incoming batch: one injected sourced user/message per projective event, whose text is the project /context window (route 1), the semantic recall titles (route 2), or a pre-compaction re-inject of the project window (source.kind === 'plugin', plugin === 'agentmemory', form 'recall' / 'semantic'). Tool calls memory_recall and memory_remember are registered only when enableTools is true.

Token effect

Conditional. Injection contributes extra input tokens only at the dedup boundaries — once per session for project recall, once per user message for semantic recall when enabled, and once per compaction — not per tool step. Capped by injectContextMaxChars / injectSemanticMaxChars. Tool schemas add a small fixed token cost while enableTools is true. Tool responses are returned to the model’s context window normally.

KV Cache effect

Append-only, prefix-stable. Injected messages are appended at the tail of the step’s message batch, so the prior message prefix is preserved and reusable; re-injection changes the suffix. The dedup conditions (injectedContext, injectedSemanticKey, compactionInject) prevent repeated appends of the same block at the same boundary, so a stable prefix is not invalidated by the bridge’s own activity across steps.

Transport and failure semantics

• The sandbox has no fetch/require/timers; outbound traffic goes through the shell capability seam, one curl per call with the JSON body on stdin (--data-binary @-).
• Never veto a lifecycle event: listeners are fully try/catch guarded.
• Infrastructure failures re-queue and retry at the next checkpoint; payload-level failures are logged and dropped.
• Flush race: if a flush is in flight when new events arrive, the dirty flag makes the in-flight loop re-send them, so nothing is lost.

Verification

cd plugins/agentmemory
node scripts/boot-check.mjs   # module + Config schema + daemon livez + peer deps (7 checks)
node test/smoke.mjs           # end-to-end (needs the daemon on :3111)

The smoke test covers: Config schema validation (including rejecting invalid values), the apply liveness hard gate (including loud failure on an unreachable daemon), defineTool tool registration, the three secret env-reference forms, observation persistence and session state, and the agent/pre-step injection shape with watermark pass-through.

Local development: resolving peer dependencies

The plugin imports @deepseek-ai/schemastery and @deepseek-ai/dsh-tools (peer deps, resolved by the harness at runtime). To run boot-check / smoke with plain Node from this repo without installing the whole harness, link the built-in packages in:

mkdir -p node_modules
ln -s <harness>/node_modules/@deepseek-ai node_modules/@deepseek-ai

(<harness> is the global dsh install directory; when installed via pnpm in a profile these resolve automatically and this step is unnecessary.)

Files

File	Purpose
index.js	Single static entry: Config schema, inject, apply (lifecycle + tools + injection + livez hard gate)
index.d.ts	Config type and the plugin’s exported type surface
cordis-row.example.yml	Static composition row example (name uses a resolvable package name)
scripts/boot-check.mjs	Boot/CI readiness check (module + schema + daemon + peer deps, 7 checks)
scripts/cleanup-smoke-sessions.mjs	One-shot purge of dsh-bridge-smoke-* session/obs rows from the live daemon (dry-run default; DRY_RUN=false to delete)
test/smoke.mjs	End-to-end smoke test (writes to the isolated dsh-smoke project, never project DSH; self-cleans via the iii CLI when available)
package.json	Publishable structure (dsh-agentmemory, with peer deps)

Known Limitations and Deferred Work

• Memory is shared across sessions by default (no agentId is passed); to isolate, add an agentId to observe/remember calls.
• Agent isolation is opt-in: written rows carry the plugin agentId (env AGENT_ID → config agentId → default "dsh"), so memory_recall can filter by agentId. It does NOT pass the DSH session id as agentId (observations are stamped with the plugin agentId, not the session id).
• Project resolution order: AGENTMEMORY_PROJECT_NAME env var → git toplevel basename → cwd basename.
• The bridge does not modify any @deepseek-ai package and does not touch the shipped preset install directory.