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  1. Home
  2. 🤖 Coding Agents
  3. Seamless
Seamless logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 9:32:09 AM

Seamless

User RatingsBe the first to rate and review this MCP server!
View Repository4 GitHub StarsTotal stargazers on GitHub for the source repository (4 stars).Visit Website
ai-agentsmemorytask-coordinationdeveloper-tools

Local-first shared memory and task coordination for AI coding agents, provided by a Go daemon, MCP service, and headless CLI.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Seamless, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🤖 More in Coding Agents

Overview

Seamless stores durable agent knowledge as Markdown files on disk, with SQLite indexing and operational state. Its daemon serves the data over MCP and provides a web console, while the `seam` CLI supports headless agents. Use it when multiple local coding agents need shared memory, coordinated task claiming, plans, or research records.

Use cases

•Share durable project knowledge across coding-agent sessions
•Coordinate multiple agents with dependency-aware task queues
•Claim work atomically with lease-based task assignment
•Capture plans as notes and executable steps
•Review proposed memory cleanup and supersession actions

Key features

•Markdown-based durable memory stored locally
•SQLite indexing and operational state
•Hybrid memory recall
•Dependency-aware task queue with lease-based claiming
•Plans composed of notes and steps
•MCP daemon and headless CLI

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Seamless.

Extracted Tool Capabilities
Markdown-based durable memory stored locally
SQLite indexing and operational state
Hybrid memory recall
Dependency-aware task queue with lease-based claiming
Plans composed of notes and steps
MCP daemon and headless CLI

Documentation Overview

Seamless

Go Reference Latest release License: MIT MCP

An AI coding agent rediscovers the same constraint every session, because nothing it learns survives the context window. Run two agents against the same backlog and they pick the same step and build it twice. And the products that promise to fix this keep your project's memory in someone else's database.

Seamless is a local-first memory and coordination substrate for AI coding agents. Works with Claude Code, Codex CLI, and any MCP client.

It gives a fleet of agents a shared, durable memory and a way to divide work without colliding: memories with a supersession lifecycle, hybrid recall, a dependency-aware task queue with lease-based claiming, captured plans, and research trials. Durable knowledge is stored as markdown files on disk; the seamlessd daemon indexes it, serves it over MCP, and renders a web console, while the companion seam CLI gives headless agents a direct interface.

Full documentation: thereisnospoon.org/docs/  ·  Website: thereisnospoon.org (source in docs/)

Design principles

  • Built for a fleet, not a lone agent. Real coordination primitives: a dependency-aware ready-queue, atomic lease-based task claiming, and plans composed of notes and steps, so agents divide labor instead of colliding.
  • Files are the source of truth. Every memory and note is a markdown file with YAML frontmatter under ~/.seamless -- git-diffable, greppable, hand-editable. SQLite indexes those files and also stores operational state such as sessions, tasks, trials, and events, so back up the whole data directory.
  • Curation proposes, humans dispose. Every gardener pass -- from deduplicating and archiving to flagging dead weight and knowledge gaps -- only proposes; applying is an explicit action. Supersession preserves provenance, so nothing is silently rewritten.
  • Small, self-contained runtime. A static Go daemon and CLI, no CGO, pure-Go SQLite, no Node, no separate vector engine, no cloud account.

How it compares

The agent-memory space splits into a few recognizable categories. By category, because categories do not go stale:

SeamlessCloud memory APIsBuilt-in agent memoryKnowledge-graph servers
Storage formatMarkdown files on your disk; SQLite indexes them and stores operational stateTheir database, reached by API keyVendor-managed store inside one productA graph database, often a separate server
Runs whereYour machine, localhost onlyTheir cloudThe vendor's productYour machine or theirs
Account requiredNoYesThe vendor'sUsually no
Multi-agent coordinationTask queue, lease-based claiming, shared plansNoneNone -- one agent, one storeShared reads at best
Forgetting policySupersession with provenance; a gardener proposes, a human disposesAutomatic summarization you do not controlVendor-definedManual
RuntimeStatic Go daemon and CLIHTTP SDK against their serviceNone (built in)Node or Python, plus the database

For the version with product names and receipts, see the full comparison.

Real transcripts

Four pairs of real, unedited Claude Code sessions -- identical prompt, identical repo, with and without Seamless:

  • Cold start -- one session continues yesterday's plan from an injected briefing; the other re-derives the work from a TODO and re-ships a bug the project had already fixed once.
  • Constraint violation -- a security scanner demands SameSite=Strict, which the team already learned breaks external-link logins. One session ships the regression anyway; one refuses and cites the recorded constraint.
  • Token safety -- told to persist refresh tokens, one agent mirrors the in-memory map into a raw-token SQL column; the other reads a recorded rule first and stores only SHA-256 hashes.
  • Task collision -- two live agents race for the same plan step. One claim wins, the other bounces with the holder's name and pivots to the next ready step.

What Seamless is not

Not a hosted team knowledge base, not a RAG framework, not a benchmark winner: it is memory and coordination for one owner's fleet of agents, on that owner's machine.

Quick start

Terminal
curl -fsSL https://thereisnospoon.org/install | sh

On Windows, the same install in PowerShell:

powershell
irm https://thereisnospoon.org/install.ps1 | iex

That is the whole install. It needs curl and tar and nothing else -- no Go, no CGO toolchain, no database, no Node. It fetches the checksum-verified release archive for your platform (macOS, Linux, and Windows; amd64 and arm64), installs seamlessd and seam into ~/.local/bin, generates the bearer key, installs hooks, MCP, and skills for the detected Claude Code/Codex local hosts, and runs the daemon as a per-user service -- launchd on macOS, systemd --user on Linux, an at-logon Scheduled Task on Windows. Upgrade any time with seamlessd update (re-runs the installer for you; --check reports installed vs latest): your config and ~/.seamless are never touched.

Early days, frequent releases. Seamless is early in its development cycle, and releases with improvements and bug fixes land often. Update at least weekly to run the latest version -- seamlessd update is the one command. See Update & uninstall.

(Why seam? The CLI keeps the short name of Seam v1, the decommissioned private predecessor Seamless was rebuilt from the ground up to replace.)

Then just start the selected client in a git repo. There is no project to create and no repo to register: the session-start hook resolves your cwd to its git root, derives a project from the repo's directory name, and records the mapping on the spot, so agents inherit project scope without passing it on every call. Reach for seamlessd map-repo --path ~/code/myrepo --project myrepo only to override the derived slug.

It is one shell script and piping a stranger's script into a shell deserves a read first. Prefer the pieces one at a time - Homebrew, go install, prebuilt archives - or want the override knobs? Every route is on Install & deploy, and the Quickstart tailors each step to your OS and client.

Then: Quickstart · Claude Code setup · Claude app chat setup · Codex local setup · Install & deploy

Documentation

The full docs are at thereisnospoon.org/docs/ (sources in docs-src/, generated by cmd/docsgen).

ConceptsMemory & notes, sessions & briefings, recall, tasks & plans, projects & scope, the gardener
GuidesIntegrating an agent, writing memories that get recalled, coordinating a fleet, troubleshooting
ReferenceEvery MCP tool, both CLIs, every config key, the hooks, and the file formats
InternalsArchitecture, contributing, domain invariants

This README is deliberately short. Anything that can drift from the code -- tool counts, config keys, CLI flags -- lives in the docs site, where the reference pages are generated from the code itself and make check fails if they go stale.

Development

Code
make build      # ./bin/seamlessd + ./bin/seam
make test       # unit tests
make test-race  # unit tests under the race detector
make bench      # hot-path benchmarks (recall, briefing, matcher, event fan-out)
make lint       # golangci-lint
make check      # the full gate: build + vet + fmt-check + docs-check +
                # installer-check + site-check + lint + vulncheck + test-race
make doctor     # config + database self-checks
make run        # serve on 127.0.0.1:8081

make docs       # regenerate the docs site (docs-src/ -> docs/docs/, committed)
make docs-serve # regenerate + serve the site at 127.0.0.1:8899/docs/

Tests are table-driven with testify/require against fresh or in-memory SQLite. Use make fmt rather than gofmt -w .: the Make target scopes formatting to git-tracked files, while a bare gofmt walk also rewrites dot-directories that Go's ./... pattern excludes.

The docs site's output under docs/docs/ is committed, and make check runs docs-check, so a change to docs-src/ -- or to the tool surface or config keys the reference generates from -- must be followed by make docs in the same change. See SITE.md.

Conventions live in AGENTS.md; read it before writing code.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
4
Stargazers on the source repository.
Last commit
24d ago
Most recent push to the default branch.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Seamless

Durable knowledge is stored as Markdown files with YAML frontmatter under `~/.seamless`; SQLite indexes the files and stores operational state.

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Technical Specs & Signals

Category🤖Coding Agents
PricingFree
More technical detailsExpand â–¾
AuthAPI key
LicenseMIT
Last updatedSep 1, 2026
5/7 checks healthy over the last 46d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars4
GitHub Star CountTotal stargazers on GitHub representing community popularity (4 stars).
Last commit24d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 1, 2026
37Quality signal: Fair · 37/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools13/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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