Sweep AI

https://sweep.dev

No dedicated persistent memory layer. Operates as a GitHub App — reads issue + codebase fresh on each trigger. Some context implicit in the PR/issue threads it created previously.

At a glance

Type
GitHub-thread-as-implicit-memory
Tier
T2
Created
2023 (GitHub app launched); pivoted to JetBrains plugin 2025
Latest release
not applicable — not OSS
License
not applicable — not OSS
GitHub
not applicable — no GitHub repo
Pricing
Free (community); Pro and Team tiers; LLM cost + 5% markup model for agent usage
Funding
$500K Seed · 2023-01

Taxonomy

storage
file
retrieval
extraction-pull
persistence
session
update
read-only
unit
episode
governance
inspectable
conflict
none

When to use

Optimised for: GitHub-thread-as-memory simplicity

Anti-fit: not for non-GitHub workflows; no dedicated memory layer

Pros & cons

Pros

GitHub-issue-to-PR agent with memory of past PRs and code-review feedback.

Cons

GitHub-PR scope; less useful for interactive coding sessions.

Claims & capabilities

Pivoted to JetBrains plugin (2025); no cross-session memory added.

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
Both (GitHub App managed + JetBrains plugin local)
Embedding model
searched not found
Multi-tenancy
searched not found
MCP
searched not found — Sweep is a GitHub-app-shaped tool; MCP not surfaced
A2A
searched not found
OpenTelemetry
searched not found

Similar systems

Other coding-agent memory in the catalog, ranked by inbound references.

  • Aider T2

    Appends conversation turns to .aider.chat.history.md in project root. restore_chat_history defaults to false — no automatic replay into new sessions. Community /session save command for JSON state snapshots. .aider.conf.yml carries static preferences.

  • Augment Code T1

    Real-time knowledge graph indexed from connected repos + commit history + CI/CD + tickets + docs. Separate Agent Memory layer (Sept 2025) captures session decisions/corrections/goals as discrete items with developer review/approval UI. MCP endpoint exposes the graph.

  • Bolt.new (StackBlitz) T2

    In-browser WebContainer (Rust-backed shared memory) is the implicit state store. No dedicated memory abstraction — project files are the state. Team plan adds shared workspaces + GitHub integration.

  • Continue.dev Memory MCP T2

    Official Memory MCP (Mar 2025) backed by a knowledge graph. Memory is injected via MCP rather than native to the Continue core. Scope depends on MCP server deployment (local or shared).

  • Devin (Cognition) T1

    Structured Knowledge items stored server-side. Three-tier scope: repo-pinned (always injected), global (recall by relevance), org/enterprise (visible to org members). Auto-generates Repo Knowledge from repo structure each session; reads past session trajectories for self-improvement; writes notes for recurring scheduled tasks.

  • Lovable T2

    Long-term context stored as files in /docs that the agent reads on each session. Agent Mode (default since July 2025) holds working context within session but doesn't persist cross-session beyond filesystem state.

Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.