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io.github.TeleAI-UAGI/telemem

PYPI · TELEMEM · SCANNED SEP 20

Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option

Available components

0 this week 85 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security99
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 6 of 59 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability81
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 677 tokens (~84/item across 8 items; 8 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management97
  • Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • All 3 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the io.github.TeleAI-UAGI/telemem MCP server?

io.github.TeleAI-UAGI/telemem runs locally as a PyPI package, launched with uvx telemem. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · telemem

# add to Claude Code
claude mcp add teleai-uagi-telemem -- uvx telemem
// .cursor/mcp.json
{
  "mcpServers": {
    "teleai-uagi-telemem": {
      "command": "uvx",
      "args": [
        "telemem"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "teleai-uagi-telemem": {
      "command": "uvx",
      "args": [
        "telemem"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add teleai-uagi-telemem -- uvx telemem
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "teleai-uagi-telemem": {
      "type": "local",
      "command": [
        "uvx",
        "telemem"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add teleai-uagi-telemem --command uvx --arg telemem
# ~/.hermes/config.yaml
mcp_servers:
  teleai-uagi-telemem:
    command: "uvx"
    args: ["telemem"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "teleai-uagi-telemem": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "telemem"
      ]
    }
  }
}
# add to Vellum
assistant mcp add teleai-uagi-telemem -t stdio -c uvx -a telemem
// mcp.json
{
  "mcpServers": {
    "teleai-uagi-telemem": {
      "command": "uvx",
      "args": [
        "telemem"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 18 Sept 26 +16
    • Malware scan: unverified → pass security
  • 17 Sept 26 −15
    • Malware scan: pass → unverified security
  • 16 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 13 Sept 26 0
    • Stability: 0.97 → pass security
  • 12 Sept 26 +16
    • Malware scan: unverified → pass security
  • 11 Sept 26 −15
    • Malware scan: pass → unverified security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed pypi/telemem@1.10.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 59 packages
Packages resolved 59
Stale 4
No linked repository 2
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 8 exposed · ~605 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
add_memory ~177

Store a fact, preference, or conversation in TeleMem long-term memory. Provide `text` for a single statement or `messages` for conversation turns. Scoped by user_id/agent_id/run_id; defaults to the server's default user.

NameTypeReqDescription
agent_idOptional agent scope.
inferbooleanExtract salient facts with the LLM before storing (TeleMem's default pipeline). Set false to store the raw text as-is.
messagesConversation turns as [{"role": "user"|"assistant", "content": "..."}]. Takes precedence over `text`.
metadataArbitrary metadata to attach to the stored memories.
run_idOptional run/session scope.
textA single statement to remember. Use this or `messages`.
user_idUser the memory belongs to.
NameTypeReqDescription
resultobjectyes

No examples provided.

delete_all_memories ~71

Delete every memory in the given scope. Destructive: requires an explicit user_id, agent_id, or run_id — the default user is never assumed.

NameTypeReqDescription
agent_idAgent scope to wipe.
run_idRun scope to wipe.
user_idUser scope to wipe.
NameTypeReqDescription
resultobjectyes

No examples provided.

delete_memory ~29

Delete a single memory by memory_id.

NameTypeReqDescription
memory_idstringyesExact memory_id to delete.
NameTypeReqDescription
resultobjectyes

No examples provided.

get_memories ~82

List stored memories for a user/agent/run with their memory_ids. Use user_id "events" to list shared conversation-event memories.

NameTypeReqDescription
agent_idOptional agent scope.
limitintegerMaximum memories to return.
run_idOptional run/session scope.
user_idUser scope; defaults to the server's default user.
NameTypeReqDescription
resultobjectyes

No examples provided.

get_memory ~30

Fetch a single memory by its memory_id.

NameTypeReqDescription
memory_idstringyesExact memory_id to fetch.
NameTypeReqDescription
resultobjectyes

No examples provided.

memory_history ~37

Show the change history (ADD/UPDATE/DELETE events) of a memory.

NameTypeReqDescription
memory_idstringyesExact memory_id to inspect.
NameTypeReqDescription
resultobjectyes

No examples provided.

search_memories ~126

Semantic search over TeleMem memories. Returns the matching memories as one consolidated text passage (TeleMem fuses related memories). Shared event memories (pseudo-user "events") are searched automatically.

NameTypeReqDescription
agent_idOptional agent scope.
limitintegerMaximum memories to consider.
querystringyesNatural-language description of what to find.
run_idOptional run/session scope.
thresholdMinimum similarity score in [0, 1] for a memory to match.
user_idUser scope; defaults to the server's default user.
NameTypeReqDescription
resultobjectyes

No examples provided.

update_memory ~53

Overwrite the text of an existing memory by memory_id.

NameTypeReqDescription
memory_idstringyesExact memory_id to update.
metadataOptional replacement metadata.
textstringyesReplacement text for the memory.
NameTypeReqDescription
resultobjectyes

No examples provided.

Common questions

What is the io.github.TeleAI-UAGI/telemem MCP server?

io.github.TeleAI-UAGI/telemem is an MCP server listed in the public MCP registry as io.github.TeleAI-UAGI/telemem. Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option. This page covers its PyPI package (telemem).

Is the io.github.TeleAI-UAGI/telemem MCP server safe to use?

io.github.TeleAI-UAGI/telemem scores 85 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.TeleAI-UAGI/telemem MCP server expose?

io.github.TeleAI-UAGI/telemem exposes 8 tools: add_memory, search_memories, get_memories, get_memory, update_memory, and 3 more. Their descriptions and schemas cost roughly 605 tokens of context every time the server is loaded.

Is the io.github.TeleAI-UAGI/telemem MCP server still maintained?

io.github.TeleAI-UAGI/telemem is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.TeleAI-UAGI/telemem MCP server under?

io.github.TeleAI-UAGI/telemem declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.