Agentmemory Config

Name: Agentmemory Config
Author: rohitg00

rohitg00/agentmemory

6.4k installs
26.6k repo stars
Updated August 3, 2026
rohitg00/agentmemory

agentmemory-config is an agent skill: agentmemory configuration, environment variables, ports, and feature flags. Use when enabling a feature, changing ports, setting an API key,

About

The agentmemory-config skill agentmemory configuration, environment variables, ports, and feature flags. Use when enabling a feature, changing ports, setting an API key, configuring auth, or explaining why a feature is off by default.. agentmemory reads configuration from the environment and from `~/.agentmemory/.env` (one `KEY=value` per line, no `export` prefix). Restart the server after changing it. Quick start Enable richer memory and set a provider key in `~/.agentmemory/.env`: Defaults worth knowing - No API key is required. Without one, agentmemory runs zero-LLM with BM25 plus local embeddings. - Token-spending features ship OFF on purpose: `AGENTMEMORY_AUTO_COMPRESS` (LLM summaries) and `AGENTMEMORY_INJECT_CONTEXT` (auto context injection) both cost tokens proportional to tool-use frequency. - Tool visibility: `AGENTMEMORY_TOOLS=all` (default) or `core` for the lean set. - Auth: set `AGENTMEMORY_SECRET` Agents should read SKILL.md quick start steps, verify required binaries and environment variables, and follow reference files for exact parameters before calling tools.

Covers agentmemory-config quick start, workflow steps, and reference pointers from SKILL.md.
Tagged for stage operate and subphase infra in the closed Skillselion taxonomy.
Documents prerequisites, permissions secrets, filesystem, and compatible agents.
Includes AEO tagMeta with task queries, keywords, and evidence quotes for discovery.
Cross-links related skills and generated REFERENCE.md tables where the repo provides them.

Agentmemory Config by the numbers

6,403 all-time installs (skills.sh)
+656 installs in the week ending Aug 5, 2026 (Skillselion tracking)
Ranked #122 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
Data as of Aug 5, 2026 (Skillselion catalog sync)

At a glance

agentmemory-config capabilities & compatibility

Capabilities: agentmemory config documented workflow · quick start examples · reference parameter lookup · taxonomy aligned metadata · aeo discovery fields
Works with: anthropic
Use cases: memory · orchestration

From the docs

What agentmemory-config says it does

agentmemory configuration, environment variables, ports, and feature flags. Use when enabling a feat

SKILL.md

npx skills add https://github.com/rohitg00/agentmemory --skill agentmemory-config

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Installs	6.4k
repo stars	★ 26.6k
Last updated	August 3, 2026
Repository	rohitg00/agentmemory ↗

How do I run agentmemory-config correctly without guessing steps, tools, or parameters?

agentmemory configuration, environment variables, ports, and feature flags. Use when enabling a feature, changing ports, setting an API key, configuring auth, or explaining why a feature is off b

Who is it for?

Teams using agentmemory-config when SKILL.md triggers match the user request.

Skip if: Skip when the task is outside agentmemory-config documented triggers or sibling skill scope.

When should I use this skill?

User mentions agentmemory-config, related trigger phrases, or asks to follow this SKILL.md workflow.

What you get

Completed agentmemory-config workflow with outputs and checks defined in SKILL.md.

agentmemory-config output per SKILL.md

By the numbers

Stage operate/infra
Category AI & Agent Building
Complexity intermediate

Files

SKILL.mdMarkdownGitHub ↗

agentmemory reads configuration from the environment and from ~/.agentmemory/.env (one KEY=value per line, no export prefix). Restart the server after changing it.

Quick start

Enable richer memory and set a provider key in ~/.agentmemory/.env:

ANTHROPIC_API_KEY=sk-ant-...
AGENTMEMORY_AUTO_COMPRESS=true
AGENTMEMORY_INJECT_CONTEXT=true

Defaults worth knowing

No API key is required. Without one, agentmemory runs zero-LLM with BM25 plus local embeddings.
Token-spending features ship OFF on purpose: AGENTMEMORY_AUTO_COMPRESS (LLM summaries) and AGENTMEMORY_INJECT_CONTEXT (auto context injection) both cost tokens proportional to tool-use frequency.
Tool visibility: AGENTMEMORY_TOOLS=all (default) or core for the lean set.
Auth: set AGENTMEMORY_SECRET to require Authorization: Bearer on the REST API.

Ports

REST is the anchor at 3111. Streams = N+1 (3112), viewer = N+2 (3113), engine = N+46023 (49134). Relocate the whole block with --port <N> or --instance <N>.