MCP Servers · Memory
sheawinkler/ContextLattice
ContextLattice is the local-first control plane for long-horizon agent memory and coordination.
Our verdict
We have not reviewed sheawinkler/ContextLattice yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About sheawinkler/ContextLattice
ContextLattice is a local-first control plane for long-horizon agent memory and coordination. Built in Go, it provides persistent context and state synchronization for agents across extended tasks without relying on cloud services.
Best for
Developers building long-running autonomous agents that need persistent local memory and coordination
Use cases
- Maintaining agent context across multi-step workflows
- Coordinating memory and state between multiple autonomous agents
- Running persistent agent loops on local hardware
Notes
109 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Pros
- Local-first design reduces latency and privacy risks
- Go implementation offers fast, concurrent performance
- Open source with a permissive license
Cons
- Relatively new project with 109 stars and a small community
- Limited documentation beyond the README
- No built-in integrations with popular AI frameworks
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
git clone https://github.com/sheawinkler/ContextLattice.git && cd ContextLattice && cp .env.example .env && gmake quickstartTools exposed
gitgmakecurljq
Clients the listing names (not checked here)
Claude Code, Codex, OpenCode, Hermes, OMP, Mercury, Pi, Droid
Install
Add sheawinkler/ContextLattice to your client
Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.
Claude Code
Config checkedRun in your terminal (remote server)
claude mcp add --transport http sheawinkler-contextlattice https://contextlattice.io/mcpCursor
Config checkedAdd to .cursor/mcp.json (remote server)
{
"mcpServers": {
"sheawinkler-contextlattice": {
"url": "https://contextlattice.io/mcp"
}
}
}VS Code
Config checkedAdd to .vscode/mcp.json (remote server)
{
"servers": {
"sheawinkler-contextlattice": {
"type": "http",
"url": "https://contextlattice.io/mcp"
}
}
}Codex
Config checkedAdd to ~/.codex/config.toml (remote server)
[mcp_servers.sheawinkler-contextlattice]
url = "https://contextlattice.io/mcp"ChatGPT
Config checkedFill in the Add custom MCP server form (remote server)
- Where
- ChatGPT Plugins > + > Add custom MCP server
- Name
- ContextLattice
- Description
- Private-by-default, local-first memory/context/task orchestrator for MCP apps and agents.
- Connection
- Public endpoint
- MCP server URL
https://contextlattice.io/mcp
- Claude Desktop: Its config file takes local servers only; a remote server is added in the app as a connector.
Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.
Works with
What sheawinkler/ContextLattice connects to
5 clients, each with how we know and when we checked.
| Works with | Type | How we know | Checked |
|---|---|---|---|
| Claude Code | Client | Install recipe matches the client's documented formatRemote server, version 1.0.0Config checked | Claude Code docs |
| Cursor | Client | Install recipe matches the client's documented formatRemote server, version 1.0.0Config checked | Cursor docs |
| VS Code | Client | Install recipe matches the client's documented formatRemote server, version 1.0.0Config checked | VS Code docs |
| Codex | Client | Install recipe matches the client's documented formatRemote server, version 1.0.0Config checked | Codex docs |
| ChatGPT | Client | Install recipe matches the client's documented formatRemote server, version 1.0.0Config checked | ChatGPT docs |
Health and security
Is sheawinkler/ContextLattice looked after, and what do its setup files show
Security check static checks
100 out of 100
- Note No published npm or PyPI package of this repository was found, so package advisories were not checked.
- Note The lab has not recorded this server's tool list yet, so tool permissions were not checked.
Alternatives
Alternatives to sheawinkler/ContextLattice
| Record | Type | How we know | Checked |
|---|---|---|---|
| topoteretes/cogneeThis is an alternative to it | MCP server | Named in the listing | Not dated |
| upstash/context7This is an alternative to it | MCP server | Named in the listing | Not dated |
| vectorize-io/hindsightThis is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare sheawinkler/ContextLattice side by side
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
topoteretes/cognee
Various
Memory platform for AI Agents in 6 lines of code
upstash/context7
Various
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
vectorize-io/hindsight
Various
Hindsight: Agent Memory That Learns
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