/agentmemory-config
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.
$ npx -y skills add rohitg00/agentmemory --skill agentmemory-config --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/agentmemory-config
Context preview
The summary Claude sees to decide when to auto-load this 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.
SKILL.md
agentmemory-config.SKILL.mdname: agentmemory-config
description: 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.
user-invocable: false
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>`.
See also
- agentmemory-rest-api for how the secret is used.
- agentmemory-architecture for the port quartet rationale.
Reference
The full recognized-variable list lives in REFERENCE.md, generated by scanning `src/`.
Read more
name: agentmemory-config description: 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. user-invocable: false
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>`.
See also
- agentmemory-rest-api for how the secret is used.
- agentmemory-architecture for the port quartet rationale.
Reference
The full recognized-variable list lives in REFERENCE.md, generated by scanning `src/`.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Repo: rohitg00/agentmemory
Other skills on agentmemory.
- /agentmemory-agents
How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.
Open skill - /agentmemory-architecture
How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or retrieved end to end, when extending the system, or when answering how agentmemory works under the hood.
Open skill - /agentmemory-hooks
The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without manual saves, when debugging missing observations, or when tuning what gets recorded.
Open skill - /agentmemory-mcp-tools
Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.
Open skill - /agentmemory-rest-api
The agentmemory HTTP REST API surface, the primary protocol for talking to the memory server. Use when calling agentmemory over HTTP, when MCP is unavailable and you need a fallback, or when integrating a host that does not speak MCP.
Open skill - /commit-context
Trace a file, function, or line back to the agent session that produced its current commit. Use when the user asks "why is this code here", "what was the agent doing when this changed", "who wrote this", or wants context on a specific location in the codebase.
Open skill