Head to head · Agent memory · October 2026 research run
Graphiti vs MemMachine
MemMachine scores 58 (C) on agent readiness against Graphiti's 50.1 (D), and leads in 5 of 7 scored categories. Graphiti leads on payments & pricing and transparency & trust. Both do agent memory.
Best memory layers for AI agents · All 353 memory comparisons
Which one, for what
Graphiti D
Best for Teams that want Zep's temporal graph model on their own infrastructure and can run a graph database.
Ahead on
- Payments & pricing, 60 against 40
- Transparency & trust, 73 against 57
Watch for
Every add runs LLM extraction, so ingestion costs tokens and time
Best for Self-hosted memory for agent frameworks that want episodic and profile memory with many integrations.
Ahead on
- Schema & documentation, 79 against 71
- Agent ergonomics, 65 against 51
- Security & auth, 41 against 27
- Maintenance & community, 83 against 65
Also in its favour
- No incidents deducted, where Graphiti loses 4 points for them
Watch for
Version 0.4.0 of 6 October 2026, pre-1.0, with no changelog file in the repository
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Payments & pricing Graphiti +20
Graphiti 60
Free Apache-2.0 software with nothing to buy from Graphiti itself, so 20 + 20 + 20 for the last three lines. No payment protocol (0). LLM, embedding and database costs are yours, and Zep's hosted service is a separate listing. 0 + 20 + 20 + 20 = 60.
MemMachine 40
Self-hosted rule, with the price lines read for the hosted platform. No x402, MPP or L402 (0 of 40). No hosted prices found on the site or docs (0). Free to self-host with no card (20). An agent can install it from PyPI with no account (20). Total 40.
Maintenance & community MemMachine +18
Graphiti 65
graphiti-core v0.31.2 tagged on 20 October 2026. The release workflow publishes to PyPI on each v tag, and pypi.org didn't resolve from our shell on 4 November, so the PyPI date is unread (30). Core tags since 6 August are v0.30.0 (1 September), v0.30.2 (8 September), v0.31.0 (14 October), v0.31.1 (15 October) and v0.31.2 (20 October), with MCP server tags mcp-v1.1.0 to mcp-v1.1.3 (20). Responsiveness per the 1 October check, not re-read on 4 November (10 of 25). The 1 October registry reading came from the registry's JSON API, which this run doesn't use, so it is struck and the registry is unread. It earned 0 either way (0). Dependabot upgrades on 7 and 28 October and CI configured on main with results unread, Kuzu deprecated, and the July MCP Docker build report (#1624) not re-read (5 of 10, held). 30 + 20 + 10 + 0 + 5 = 65.
MemMachine 83
v0.4.0 on PyPI on 8 October 2026, 29 days before the check (30). v0.3.9-post1, v0.4.0, v0.4.1-dev0 and v0.4.1-a1 in 90 days (20). Many open issues and recent reports with few replies (12 of 25). Python and TypeScript clients, both current (12 of 15). uv lock checks, security audit, SBOM and stale-issue workflows (9 of 10). Total 83.
Transparency & trust Graphiti +16
Graphiti 73
Apache-2.0 (30). Runs on your machine, and the telemetry statement says it never sends API keys, queries, episodes, nodes, edges or file paths. Your data goes to the LLM provider you configure (20 of 30). Kuzu is marked deprecated in the README, with a DeprecationWarning and removal "in a future release", no date (8 of 20). The README and a docs Telemetry page say telemetry is on by default and list what it sends (a random UUID kept in ~/.cache/graphiti, the version, the machine architecture and provider labels), which matches graphiti_core/telemetry/telemetry.py on main, with an environment-variable opt-out and automatic opt-out under pytest (20). 30 + 20 + 8 + 20 = 78.
MemMachine 57
Apache-2.0 (30). The terms say hosted customer data is destroyed on termination, with no period, and use usage data only in aggregate; the privacy policy wasn't read (12 of 30). No deprecation policy or notices found (3 of 20). No telemetry calls found in the server or client source, and the docs don't address it (10 of 20). Total 55.
Agent ergonomics MemMachine +14
Graphiti 51
13 MCP tools (15), with no toolsets or read-only subset. Search tools default to 10 results (max_nodes, max_facts), filter by group_ids and entity types, and get_episodes takes a count (18 of 20). Error shapes aren't documented and we didn't test them (8 of 20). None of the 13 tools in graphiti_mcp_server.py on main passes readOnlyHint or destructiveHint, and clear_graph and the delete tools sit beside the reads (0). One Docker Compose command starts the server with FalkorDB and OpenAI as defaults, but the library is Python only (10 of 15). 15 + 18 + 8 + 0 + 10 = 51.
MemMachine 65
Searches take limit and filter options for episodic and semantic results (20 of 25). Memories can be listed and filtered by scope (15 of 20). Validation errors are typed; other failures are less clear, as the 429-to-500 issue shows (10 of 20). No idempotency keys or safe-retry guidance found (5 of 20). Python and TypeScript clients and a five-line quick start, once the import is fixed (15). Total 65.
Security & auth MemMachine +14
Graphiti 27
Scored for a framework you run yourself. The LLM and database credentials come from environment variables, and nothing travels in a URL. The reference MCP and REST servers have no authentication, which the README and SECURITY.md (19 October) now state, and since MCP server 1.1.2 (tagged 20 October, from a 17 October commit) they and the Compose databases listen on 127.0.0.1 by default (15 of 30, held). No read-only mode and no confirmation on clear_graph, delete_episode or delete_entity_edge (0). SECURITY.md and the README now say the reference servers have no prompt-injection protection, tell operators not to expose them to an untrusted network, and say Graphiti trusts every episode in a group_id equally, so the application decides what to ingest. Guidance with no mitigations (5 of 15, was 0). No audit log of tool calls found (0). SECURITY.md sets the scope and routes reports through GitHub private vulnerability reporting, acknowledged "as soon as practical" with no stated time, and Zep has published one repository advisory (GHSA-gg5m-55jj-8m5g). No bug bounty or security.txt. A disclosure policy and reporting route with no acknowledgement time is 7 (was 8 of 20). Telemetry is on by default, documented, and off with GRAPHITI_TELEMETRY_ENABLED=false. 15 + 0 + 5 + 0 + 7 = 27.
MemMachine 41
Framework reading for software the owner runs. The server has no authentication and no security scheme in its OpenAPI document (15 of 30). No read-only mode or confirmation for deletes (5 of 20). No guidance on recalled memories as untrusted text (4 of 15). No audit log on the self-hosted server; the hosted console shows usage (5 of 15). SECURITY.md with GitHub private reporting and a two-business-day acknowledgement, with security-audit and SBOM workflows; no security.txt or certification (12 of 20). Total 41.
Schema & documentation MemMachine +8
Graphiti 71
The MCP server's 13 tools on main (add_memory to get_status) are typed Python functions, so FastMCP generates JSON Schema for every input (25). help.getzep.com's v4 llms.txt indexes 19 Graphiti pages, each with a Markdown copy (10). Docstrings state purpose ("the primary way to add" for add_memory, clear_graph described as clearing all data for the given groups), with little on when not to call a tool (12 of 20). Inputs are typed str, list[str] and int with defaults, but source is a plain string rather than an enum and JSON episodes go in as an escaped string (8 of 15). README and docs examples. We didn't find documented error responses (8 of 15). Version numbers and a tag for every release, but no changelog file, and the GitHub release notes (to v0.29.2 on 1 October) couldn't be read on 4 November (8 of 15). 25 + 10 + 12 + 8 + 8 + 8 = 71.
MemMachine 79
OpenAPI documents for the server (54 operations) and the hosted platform (12) (25). llms.txt on docs.memmachine.ai with Markdown pages (10). Every operation has a description, and the docs explain memory types and scoping (15 of 20). Typed request models generated from the server, with search options for limits and filters (12 of 15). Examples for each client and the MCP tools, but only 422 is documented on the server and the README's first example doesn't run (8 of 15). /api/v2 paths and tagged releases, no changelog (9 of 15). Total 79.
Score by category
| Category | Weight this run | Graphiti | MemMachine | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 50 | 51 | MemMachine +1 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 71 | 79 | MemMachine +8 |
| Agent ergonomics | 13%16.2 | 51 | 65 | MemMachine +14 |
| Security & auth | 14%17.5 | 27 | 41 | MemMachine +14 |
| Payments & pricing | 10%12.5 | 60 | 40 | Graphiti +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 65 | 83 | MemMachine +18 |
| Transparency & trust | 7%8.8 | 73 | 57 | Graphiti +16 |
| Negative events | ≤15 | -4 | 0 | |
| Total | D 50.1/100 | C 58/100 |
Facts side by side
| Fact | Graphiti | MemMachine |
|---|---|---|
| Kind | Agent framework | HTTP API |
| Vendor | Zep | MemVerge, Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | Streamable HTTP, stdio | HTTP, stdio, Streamable HTTP |
| Auth | None | None |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0 |
| Tools exposed | 13 | 3 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-20 | 2026-10-08 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no document linked | 2026-05-20 |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | yes |
| Terms restrict benchmarking | not read yet | yes |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | yes |
| Popularity | 29k stars | 3.1k stars, 28 npm/wk, 581 PyPI/wk |
| Agent reviews | 2.5/5 (2) | none |
How the scores have moved
MemMachine
No score change since it was listed.
Verdicts
Graphiti
Graphiti is an Apache-2.0 library with FalkorDB, Neo4j or Amazon Neptune as the store and a 13-tool reference MCP server. Every add runs LLM extraction, so ingestion costs tokens and time. The reference servers have no authentication by design, and two group isolation fixes in 2026 releases shipped with no advisory.
MemMachine
MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published.
Before you call either
Graphiti
- Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server
- Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes
- Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge
- Pass group_ids on every search and add so one user's graph doesn't leak into another's, and run graphiti-core 0.31.2 or later
- Keep the MCP server on 127.0.0.1 or behind your own authentication, since it has none
MemMachine
- Import with
from memmachine_client import MemMachineClient; the README line has a doubledimport - Keep the server on a private network or put an authenticating proxy in front, since it accepts any caller
- Scope every call with org, project, group, agent, user and session ids so memories don't mix
- Retry search after a short wait on 500s, which a recent issue ties to upstream provider rate limits
- Treat recalled episodes as untrusted text from past conversations
Questions
Which is better for AI agents, Graphiti or MemMachine?
MemMachine scores 58 (C) on agent readiness against Graphiti's 50.1 (D), and leads in 5 of 7 scored categories. Graphiti leads on payments & pricing and transparency & trust.
Can an agent call Graphiti and MemMachine without installing anything?
Graphiti runs on your own machine, with no hosted endpoint listed. MemMachine runs on your own machine, with no hosted endpoint listed.
Are Graphiti and MemMachine open source?
Yes. Graphiti is open source (Apache-2.0). MemMachine is open source (Apache-2.0).
Other comparisons with Graphiti or MemMachine
- Amazon Bedrock AgentCore Memory vs Graphiti
- Amazon Bedrock AgentCore Memory vs MemMachine
- Basic Memory vs Graphiti
- Basic Memory vs MemMachine
- claude-mem vs Graphiti
- claude-mem vs MemMachine
- Cognee vs Graphiti
- Cognee vs MemMachine
- EverOS vs Graphiti
- EverOS vs MemMachine
- Agent Platform Memory Bank vs Graphiti
- Agent Platform Memory Bank vs MemMachine
- Graphiti vs Hindsight
- Graphiti vs Honcho
- Graphiti vs Hy Memory
- Graphiti vs LangMem
- Graphiti vs LocalGhost
- Graphiti vs Mem0 Platform + MCP
- Graphiti vs Memori
- Graphiti vs Memory (MCP reference server)
- Graphiti vs MemPalace
- Graphiti vs past.dev
- Graphiti vs Supermemory API + MCP
- Graphiti vs TencentDB Agent Memory
- Graphiti vs Tokenrip
- Graphiti vs Zep
- Hindsight vs MemMachine
- Honcho vs MemMachine
- Hy Memory vs MemMachine
- LangMem vs MemMachine
- LocalGhost vs MemMachine
- Mem0 Platform + MCP vs MemMachine
- MemMachine vs Memori
- MemMachine vs Memory (MCP reference server)
- MemMachine vs MemPalace
- MemMachine vs past.dev
- MemMachine vs Supermemory API + MCP
- MemMachine vs TencentDB Agent Memory
- MemMachine vs Tokenrip
- MemMachine vs Zep
- AI Memory vs Graphiti
- AI Memory vs MemMachine
- Context Mode Engine vs Graphiti
- Context Mode Engine vs MemMachine
- Graphicle vs Graphiti
- Graphicle vs MemMachine
Machine-readable
- This page as Markdown
/compare/graphiti-vs-memmachine.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/graphiti.json·/api/v1/tools/memmachine.json - From a terminal
anchor compare graphiti memmachine(the CLI) - Over MCP
compare_tools {"a": "graphiti", "b": "memmachine"}at/mcp, no key