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Glama

Server Details

Free, no-signup persistent memory for AI agents: remember & recall across sessions.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 3.8/5 across 4 of 4 tools scored. Lowest: 3.1/5.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose: recall searches, remember stores, list_recent lists recent, forget deletes by ID. No overlap.

Naming Consistency5/5

All tool names use consistent snake_case with verb-only or verb_noun pattern. No mixing of conventions.

Tool Count5/5

Four tools cover the core operations of a memory system (create, read, list, delete) without redundancy. Well-scoped.

Completeness4/5

Covers create, read, list, and delete. Missing an update tool, but for durable memories the lack of update is acceptable; agents can delete and re-remember.

Available Tools

4 tools
forgetAInspect

Delete a memory by its id (from a previous recall/list result).

ParametersJSON Schema
NameRequiredDescriptionDefault
idYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states 'Delete' which implies destruction, but does not disclose permanence, permissions, or side effects. For a simple deletion tool, this is minimally adequate but could be improved.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence of 12 words with no redundancy. Every word earns its place, delivering the essential information efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one required parameter, no output schema, no nested objects), the description is fairly complete. It explains what the tool does and where the id comes from. Minor improvement: note that deletion is permanent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has one parameter 'id' with 0% description coverage. The description adds context that the id comes from a previous recall/list result, which provides meaningful context beyond the schema. However, it does not specify format or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Delete') and resource ('a memory') with specificity ('by its id'). It distinguishes from siblings: list_recent (list), recall (recall), remember (create).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context: 'from a previous recall/list result' suggests the id originates from those tools. It does not explicitly state when not to use or name alternatives, but the context is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_recentBInspect

List the most recently stored/updated memories in this space.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It states the basic action but lacks details like whether the tool is read-only, how results are ordered, or any side effects. The description is minimal but not misleading.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, concise sentence that gets straight to the point with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with one parameter and no output schema, but the description omits important details like the return format, whether it returns metadata or full content, and how the 'limit' parameter affects results. The agent would need to infer or test this behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has one optional parameter 'limit' with 0% description coverage. The description does not mention 'limit' or explain its meaning, providing no added value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'List', the resource 'memories', and the scope 'most recently stored/updated in this space'. It distinguishes itself from siblings like 'forget', 'recall', and 'remember' which are for deletion, retrieval, and storage respectively.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives like 'recall' or 'remember'. The description does not provide any context for appropriate use or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

recallAInspect

Search your stored memories for anything relevant to a query. Call this at the start of a task, or whenever you might have prior context about the user, project, or topic.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 10).
queryNoWhat to look for. Leave empty to get the most recent memories.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It explains two behaviors: searching by query and returning recent memories when query is empty. However, it lacks disclosure of potential side effects, auth requirements, or what happens if no relevant memories exist.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two concise sentences, front-loaded with the core purpose. Every word adds value, making it efficient for an agent to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While the purpose is clear, the description omits details about the output format or return structure. Since there is no output schema, this gap hinders an agent's full understanding of what to expect after invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description repeats the schema's note about leaving query empty for recent memories, adding no new information beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it searches stored memories for relevant content. The verb 'search' and resource 'stored memories' are specific. It distinguishes from sibling tools like 'forget' (delete) and 'remember' (store), making its purpose unique.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly advises calling it 'at the start of a task, or whenever you might have prior context,' providing clear guidance on when to use. It does not explicitly state when not to use, but the context from sibling tools implies alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

rememberAInspect

Store a durable memory (a fact, preference, decision, or note) so it persists across sessions. Call this whenever the user tells you something worth remembering long-term.

ParametersJSON Schema
NameRequiredDescriptionDefault
tagsNoOptional labels to group/find this memory later.
textYesThe memory to store, in plain language.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses that the memory is durable and persists across sessions, which is key behavioral insight. No annotations exist, so the description carries the burden; it does well but could mention idempotency or storage limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no extraneous information, and action is stated upfront. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low complexity, full schema coverage, and lack of output schema required, the description is complete. It covers purpose, usage, and basic behavior sufficiently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers 100% of parameters with meaningful descriptions. The tool description does not add significant additional meaning beyond the schema, so baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('store'), the resource ('durable memory'), and the purpose ('persists across sessions'). It distinguishes the tool from siblings like 'forget', 'list_recent', and 'recall' by focusing on storing facts long-term.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Call this whenever the user tells you something worth remembering long-term', providing clear when-to-use guidance. It does not mention when not to use or alternatives, but the context is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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