claude-mem vs Stele
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Tagline
claude-mem
Keeps decisions, discoveries, and fixes from work ready for the next session, machine, and tool.Stele
Shared project memory for AI coding agents across Claude Code, Cursor, Codex, and CopilotPricing
claude-mem
FreemiumΒ· Open source claude-mem: Free; CMEM Pro: $30/month; Heavy: $70/month; CMEM Max: $100/monthStele
FreemiumΒ· Free tier Β· from $5.99/moLowest paid tier
claude-mem
$30/mo Β· Pro
captured 2026-10-24
Stele
$5.99 / month Β· Indie
captured 2026-10-28
Free trial
claude-mem
YesStele
YesAPI
claude-mem
YesStele
YesPlatforms
claude-mem
macoslinuxwindows
Stele
βOpen source
claude-mem
YesStele
Not listedHacker News stories
claude-mem
1
checked 2026-10-09
Stele
1
checked 2026-10-21
Earliest Wayback capture
claude-mem
2026-02-01
earliest archived capture of the site, not a launch date
Stele
2026-07-22
earliest archived capture of the site, not a launch date
Model used
claude-mem
Model-agnostic β works with the models used by the connected agent (Claude, GPT, Gemini, etc.) via MCPStele
βBest for
claude-mem
βStele
Developers and small teams who juggle multiple AI coding agents (Claude Code, Cursor, Codex, Copilot) and want a persistent, shared project memory that survives tool switches and session resets.Not for
claude-mem
βStele
Solo developers who stay inside one agent and one IDE, or enterprises with strict data-residency rules who cannot wait for the self-hosted edition.Editorial score
claude-mem
βStele
βUse cases
claude-mem
Searching for past decisions, discoveries, and fixesPicking up work on another machineReturning to the history behind a specific changeRecalling synced memory from MCP clientsCoding, research, and building custom tools
Stele
shared memory across AI coding agentscross-tool project context handofftask queue for multi-agent workflowsagent onboarding from an existing codebasetracking failed refactor attemptscoordinating Claude Code and Cursor on one repoMCP-based agent memory backendarchitectural decision log for AI agents
Pros
claude-mem
- The local claude-mem engine is open source.
- Progressive recall allows the agent to find a note before reading its details.
- Cloud sync keeps captured project memory available when moving between connected computers.
- Synced memory can be recalled from MCP clients, including ChatGPT when the account supports custom connectors.
Stele
- MCP-native, so it works with Claude Code, Cursor, Codex, and Copilot without per-tool adapters
- One-line CLI install with automatic onboarding from an existing repo
- Shared task queue prevents two agents from duplicating the same work
- Graph-based memory captures failed attempts, not just successful ones, so agents stop repeating dead ends
- Free tier is genuinely usable for solo developers (unlimited public projects, one private)
- Self-hosted SQLite edition on the roadmap for teams that need local data
- Export and deletion controls on private project graphs
Cons
claude-mem
- The ChatGPT connection does not automatically capture ChatGPT conversations or backfill local-only history.
- A credit or debit card is required for the trial, and prepaid cards are not eligible.
Stele
- Currently hosted-only; the promised self-hosted build is not yet shipped
- Value depends on running multiple agents or switching tools often, less compelling for single-agent users
- Shared memory across agents can propagate a bad decision if not curated
- Early-stage product with limited public track record and small community
- Private project quota on the free tier is tight for anyone with several client repos
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.
Pick claude-mem if
- β The local claude-mem engine is open source.
- β Progressive recall allows the agent to find a note before reading its details.
- β Cloud sync keeps captured project memory available when moving between connected computers.
- β Synced memory can be recalled from MCP clients, including ChatGPT when the account supports custom connectors.
Pick Stele if
- β MCP-native, so it works with Claude Code, Cursor, Codex, and Copilot without per-tool adapters
- β One-line CLI install with automatic onboarding from an existing repo
- β Shared task queue prevents two agents from duplicating the same work
- β Graph-based memory captures failed attempts, not just successful ones, so agents stop repeating dead ends