AgentRecall
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| session_startA | [ENTRY — call FIRST, before acting] Use when the user asks to start, load, continue, resume, or open memory for a project. Set mode='lite' for a ≤500-token briefing (good for fresh conversations where the agent will pull memory on demand via recall/memory_query/skill_recall). |
| session_endA | [ON SAVE/EXIT — YOU must call this; nothing auto-saves] Use when the user asks to save, checkpoint, summarize, end, retain, or persist the current session. Optionally pass close_phase / open_phase to update the project pipeline narrative spine in the same call. |
| rememberA | [MID-SESSION WRITE — single fact/decision; saying it is not saving it] Use when the user asks to remember, store, note, or save a specific decision, fact, or insight. |
| recallA | [RETRIEVE — use freely, any time] Use when the user asks to recall, search, find, or look up previous memory, context, or decisions. |
| checkB | [MID-SESSION — safe any time; for alignment, before risky decisions] Use when the user asks to validate understanding, verify alignment, or check if their interpretation matches the human's intent. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| show_projects | Show the AgentRecall project status board. |
| start_project | Start or resume AgentRecall memory for a project. |
| save_session | Save the current session to AgentRecall. |
| arstart | Load full project context for a new session. Call this at the beginning of every session to recall past decisions, corrections, insights, and cross-project lessons. |
| arsave | Save everything from this session — journal, palace consolidation, awareness insights. Call at the end of every productive session. |
| arsaveall | Scan all of today's sessions across all projects and save them in one consolidated pass. Use when multiple agents ran in parallel. |
| recall-context | Quickly recall everything AgentRecall knows about a topic — searches journals, palace rooms, and cross-project insights. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Awareness | The compounding awareness document — 200-line cap, cross-project insights, trajectory, blind spots |
| Awareness State | Structured awareness state — insights array, trajectory, blind spots, compound insights |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Goldentrii/AgentRecall-MCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server