AHME is a **local sidecar daemon** that sits quietly beside your AI coding assistant. As you work, it compresses your conversation history into a
AHME is a local sidecar daemon that sits quietly beside your AI coding assistant. As you work, it compresses your conversation history into a dense Master Memory Block using a local Ollama model — no cloud, no tokens wasted, no. The ahme mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 5 defined tools rather than through you.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Everything the assistant can do here goes through one of these:
ingest_context — text: stringget_master_memory — reset?: bool (default true)clear_context — —Prerequisites — The Prerequisites tool exposed by this serverConfigure — That's the only line you need to change. Everything else is pre-configuredYou will need one environment variable: PYTHONPATH. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
ollama pull qwen2:1.5b (or any 1–4B model)This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Ahme MCP's toolset — ingest_context, get_master_memory, clear_context and 2 more — is a fair guide to whether it matches your workflow. It is maintained by dexopt; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| ingest_context | text: string |
| get_master_memory | reset?: bool (default true) |
| clear_context | — |
| Prerequisites | The Prerequisites tool exposed by this server. |
| Configure | That's the only line you need to change. Everything else is pre-configured. |
ollama pull qwen2:1.5b (or any 1–4B model)| Variable | Description | Required |
|---|---|---|
| PYTHONPATH | Filesystem location the server is allowed to use. | Optional |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.