S
syncable-dev/memtrace-public
Structural memory graph, with no model call
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"syncable-dev-memtrace-public": {
"command": "npx",
"args": ["-y", "@deepseek-ai/dsh"]
}
}
}Parsed from the README we fetched on 2026-11-04; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"syncable-dev-memtrace-public": {
"command": "npx",
"args": ["-y", "@deepseek-ai/dsh"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio syncable-dev-memtrace-public -- npx -y @deepseek-ai/dsh
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @deepseek-ai/dsh
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @deepseek-ai/dsh. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
Your agents deserve structural memory .
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Official Memtrace by Syncable. Start at memtrace.io/docs. The official package is memtrace on npm, and the public repository is syncable-dev/memtrace-public. Other projects with the same name are unrelated. Compare memtrace --version with the Stable and Nightly release history.
For installation support, open an issue in the official public repository with your operating system, Memtrace version and exact error. Remove credentials and private source from shared logs. The Syncable team maintains this package and its support channels.
📖 Docs ·
⭐ Star us ·
memtrace.io ·
npm ·
Discord
Memtrace turns your codebase into a live knowledge graph that AI coding agents can query in milliseconds — every function, class, call edge, and version, across every session, without re-reading files or breaking things they can't see.
Get your fleet on shared structural memory in under 90 seconds.
Structural · zero LLM calls · Bi-temporal · time-travel queries · Replay-aware · zero blind refactors
## DeepSeek Harness
Memtrace runs as a DeepSeek Harness plugin. Install Harness first (npm install -g @deepseek-ai/dsh — that is the dsh command), then add Memtrace:
sh
npx -y @deepseek-ai/dsh plugin --profile web add github:syncable-dev/dsh-plugin-memtrace
Then ask the agent to index the workspace and pull blast radius, evolution, or an architecture briefing. Details: syncable-dev/dsh-plugin-memtrace.
## What it does
Three things, every release.
🧭 Run a fleet of coding agents on the same repo without merge hell.
Each agent reads the same call graph, sees the same blast radius, inherits the same temporal history. No collisions. No stale context.
🔁 Replay any refactor with full causal awareness.
Agents see exactly what depends on what, and what changed when. No more "I refactored a function and 14 tests broke that nobody saw."
⚡ Index a 50k-file repo in under 90 seconds.
Rust + Tree-sitter, $0 in API costs, 20+ languages plus framework-aware scanners (Vapor, Lapis, Kong, GitHub Actions, Terraform, RLS policies, …), fully local. Your code never leaves your machine.
🆕 LeanCTX Native — compressed reads, smart trees, and a value ledger.
Four new compression modes on getsourcewindow, single-call directory maps, real-time token-savings dashboard, and an opt-in adaptive learner that beats the static table by ~14%. Full breakdown: docs/leanctx-native.md. Available in v0.3.57+.
https://github.com/user-attachments/assets/e7d6a1e9-c912-4e65-a421-bd0256dffa5a
## Numbers
| Operation | Memtrace | Best alternative | Δ |
| Index 1,500 files | 1.5s · $0 | Mem0: 31 min · $10–50 | ~1,200× faster |
| Exact symbol query (acc@1, lat) | 96.6% · 0.07 ms | GitNexus: 97.0% · 8.95 ms | 128× lower latency |
| Graph callers recall (Django) | 81.6% | GitNexus: 5.3% | 15.4× |
| Incremental re-index p95 | 42.5 ms | CodeGrapher: 613.7 ms | 14.4× |
| Hybrid acc@1 (Django, 3K cases) | 73.9% | GitNexus: 38.6% | 1.91× |
| PR code-review F1 (50 PRs) | 0.7268 | Cubic v2: 0.6077 | +19.60% |
| RSS / process | 26 MB | ChromaDB: 1,060 MB | 41× tighter |
| Languages | 16+ (Tree-sitter) | varies | — |
For installation support, open an issue in the official public repository with your operating system, Memtrace version and exact error. Remove credentials and private source from shared logs. The Syncable team maintains this package and its support channels.
📖 Docs ·
⭐ Star us ·
memtrace.io ·
npm ·
Discord
Memtrace turns your codebase into a live knowledge graph that AI coding agents can query in milliseconds — every function, class, call edge, and version, across every session, without re-reading files or breaking things they can't see.
Get your fleet on shared structural memory in under 90 seconds.
Structural · zero LLM calls · Bi-temporal · time-travel queries · Replay-aware · zero blind refactors
## DeepSeek Harness
Memtrace runs as a DeepSeek Harness plugin. Install Harness first (npm install -g @deepseek-ai/dsh — that is the dsh command), then add Memtrace:
sh
npx -y @deepseek-ai/dsh plugin --profile web add github:syncable-dev/dsh-plugin-memtrace
Then ask the agent to index the workspace and pull blast radius, evolution, or an architecture briefing. Details: syncable-dev/dsh-plugin-memtrace.
## What it does
Three things, every release.
🧭 Run a fleet of coding agents on the same repo without merge hell.
Each agent reads the same call graph, sees the same blast radius, inherits the same temporal history. No collisions. No stale context.
🔁 Replay any refactor with full causal awareness.
Agents see exactly what depends on what, and what changed when. No more "I refactored a function and 14 tests broke that nobody saw."
⚡ Index a 50k-file repo in under 90 seconds.
Rust + Tree-sitter, $0 in API costs, 20+ languages plus framework-aware scanners (Vapor, Lapis, Kong, GitHub Actions, Terraform, RLS policies, …), fully local. Your code never leaves your machine.
🆕 LeanCTX Native — compressed reads, smart trees, and a value ledger.
Four new compression modes on getsourcewindow, single-call directory maps, real-time token-savings dashboard, and an opt-in adaptive learner that beats the static table by ~14%. Full breakdown: docs/leanctx-native.md. Available in v0.3.57+.
https://github.com/user-attachments/assets/e7d6a1e9-c912-4e65-a421-bd0256dffa5a
## Numbers
| Operation | Memtrace | Best alternative | Δ |
| Index 1,500 files | 1.5s · $0 | Mem0: 31 min · $10–50 | ~1,200× faster |
| Exact symbol query (acc@1, lat) | 96.6% · 0.07 ms | GitNexus: 97.0% · 8.95 ms | 128× lower latency |
| Graph callers recall (Django) | 81.6% | GitNexus: 5.3% | 15.4× |
| Incremental re-index p95 | 42.5 ms | CodeGrapher: 613.7 ms | 14.4× |
| Hybrid acc@1 (Django, 3K cases) | 73.9% | GitNexus: 38.6% | 1.91× |
| PR code-review F1 (50 PRs) | 0.7268 | Cubic v2: 0.6077 | +19.60% |
| RSS / process | 26 MB | ChromaDB: 1,060 MB | 41× tighter |
| Languages | 16+ (Tree-sitter) | varies | — |
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