"remember", "store", "save"?
store_memory
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Agent infrastructurePublic skills
Session Memory Management
Typed session state — store/retrieve context, replay snapshots, resume interrupted workflows, and redact sensitive data when done.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Manage session state and memory — store/retrieve typed data, replay snapshots, resume interrupted workflows, and redact sensitive information. Use when persisting context, resuming workflows, recalling previous data, managing cross-session memory, or cleaning up sensitive state.
Architecture
How Session Memory Management guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Session Memory Management skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-session-memory
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"recall", "what was", "last time"?
retrieve_memory / list_memory_refs
"resume", "pick up where", "continue"?
resume_session / create_replay_snapshot
"forget", "delete", "redact"?
delete_memory / redact_memory
"session", "events", "history"?
get_session_state / list_session_events
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
011 calls
Store
Persist typed data with TTL
021-2 calls
Recall
Retrieve by key/scope
032 calls
Resume
Snapshot → validate → continue
041 calls
Redact
Remove sensitive data
Tool boundary
The skill may use 10 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-session-memory retains responsibility for authentication, validation, and the connected system.
get_session_state
list_session_events
retrieve_memory
store_memory
update_memory
delete_memory
redact_memory
list_memory_refs
create_replay_snapshot
resume_session
Working rules
What the agent should do.
- Set TTL on all stored state (prevent unbounded growth)
- Validate freshness before resuming workflows
- Redact sensitive data (PII, credentials) after use
- Scope memory access (agents only see their own data)
Operating boundaries
What the agent should avoid.
- Never store credentials in session memory (use vault)
- Don't resume without checking if external state changed
- Don't keep memory indefinitely without TTL
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-session-memory, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-session-memory-management.git \
~/.skills/skills/session-memory-managementADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("session-memory-management").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-session-memory server connected.
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 10
- References
- 3
- Revision
- 2e68156d71be
- Updated
- May 31, 2026