Head to head · Memory search · October 2026 research run
AI Memory vs Basic Memory
Basic Memory scores 76.9 (BB) on agent readiness against AI Memory's 65 (B), and leads in 4 of 7 scored categories. AI Memory leads on payments & pricing. Both do memory search.
Best memory layers for AI agents · All 353 memory comparisons
Which one, for what
Best for Developers running several coding agents on one project who want shared memory and task handoffs on their own machine or server.
Ahead on
- Payments & pricing, 60 against 50
Watch for
Existing deployments and the Docker quick-start may still lack authentication
Basic Memory BB
Best for Memory for coding agents and assistants kept as Markdown the user owns, with search and a graph.
Ahead on
- Reliability, 83 against 65
- Agent ergonomics, 85 against 60
- Maintenance & community, 91 against 50
- Transparency & trust, 82 against 50
Also in its favour
- Agent-ready, a grade of BB or better
- No key needed to call it
- Open source
Watch for
1.0 removed every pre-1.0 tool and command with no aliases, so older agent instructions and allowlists break
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.
Maintenance & community Basic Memory +41
AI Memory 50
v3.3.3 of 3 November 2026 (30). 68 tags from 6 August to 3 November, from v2.x through v3.3.3 (20). Issue and pull-request replies couldn't be read (github.com refused) (0). Not in the official MCP registry, and the repository has no server.json (0 of 15). Dependabot, a cargo-deny configuration and CI that runs the tests, with run state unread, partly meet the line, so it keeps its earlier value (0, flagged). 30+20+0+0+0 = 50.
Basic Memory 91
v1.0.0 on 29 October 2026 (30). v0.24.0 and v0.24.1 on 22 October and v1.0.0, three releases in 90 days (20). Recent issues from outside users got maintainer replies within a few days (20 of 25). Verified namespace io.github.basicmachines-co/basic-memory in the official MCP registry, published by a workflow (15). uv.lock and CI, with an open report of an unmaintained dependency (6 of 10). Total 91.
Transparency & trust Basic Memory +32
AI Memory 50
MIT source (30). DATA_HANDLING.md and SECURITY.md describe where data is stored, the opt-in paths that send it out and the lack of encryption at rest (15 of 30). Dated 3.0.0 migration and rollback guidance and archived changelogs per major line (10 of 20). DATA_HANDLING.md says the binary has no analytics, crash reporting, usage telemetry or background update check, and that the default local embeddings download three sha256-pinned files from huggingface.co on first start, avoidable with embedding_provider = "none" (20, from 0). 30+15+10+20 = 75.
Basic Memory 82
AGPL-3.0, an OSI licence (30). The terms and privacy policy of 27 October 2026 agree on 30-day retention after cancellation, backups up to 90 days and no training on or sale of content, and name the infrastructure providers (26 of 30). The 1.0 release ships a migration guide mapping every removed tool and command, without a written deprecation period (14 of 20). Telemetry is disclosed in the README with what is and isn't sent and one opt-out, but it is on by default (16 of 20). Total 86.
Agent ergonomics Basic Memory +25
AI Memory 60
25 tools with long descriptions in one set, and no toolsets or read-only subset found (15). Search takes scope and filters, and recent pages take a count (20). Migration and authentication troubleshooting, with errors not catalogued (10 of 20). Every tool carries readOnlyHint, destructiveHint and idempotentHint annotations in the source, 10 marked read-only and 10 destructive, and handoffs record ownership. No idempotency keys on writes. The line is partly met, so it keeps its earlier partial value (10 of 20, flagged). Client bridge defaults and setup commands, with one language (5 of 15). 15+20+10+10+5 = 60.
Basic Memory 85
13 tools, one hidden unless enabled, so the 11 to 30 band (15), with 6 back for the manual tool and the progressive-discovery tags (21 of 25). Search narrows by mode, filters, note types, items, since, path and line context (18 of 20). Refusals are tool errors with typed codes an agent can act on (17 of 20). Every tool has readOnly, destructive and idempotent hints, and edits take an expected checksum that refuses a stale write (19 of 20). Most arguments are optional and the server starts with one command, but there is one language and no SDK beyond the CLI (10 of 15). Total 85.
Reliability Basic Memory +18
AI Memory 65
Graded on the local-software lines (self-hosted server and stdio MCP bridge). Releases install from GitHub with install.sh or install.ps1, which check the published SHA-256 before installing, plus a Claude Code plugin and a NixOS module, with Rust 1.95 stated (20). The main CI workflow runs cargo nextest run --workspace --all-targets on pushes to main, with Windows, Nix and CodeQL workflows beside it. Run state couldn't be read on 4 November (api.github.com refused), so 15 of 25, from 0. Open crash and regression issues weren't read (github.com refused) (0). A Keep a Changelog file under semantic versioning, with 3.0.0 calling out the removed 1.x token commands and a migration and rollback guide (15). Version 3.3.3 (15). 20+15+0+15+15 = 65.
Basic Memory 83
Local-software lines, as a stdio MCP server the owner runs. basic-memory on PyPI with Python 3.12 or newer stated, installed with uv (20). Test, SQLite lifecycle and Docker workflows run on the repository, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 74 open issues and pull requests against 200 commits in the 90 days, with recent bug reports answered by a maintainer within days and one flaky-CI issue open (18 of 25). The changelog calls out breaking changes in their own sections (15). v1.0.0 on 29 October 2026 (15). Total 83.
Payments & pricing AI Memory +10
AI Memory 60
Free self-hosted MIT software with nothing to buy (20 clear zero price, 20 free access, 20 no account). No machine payment protocol (0). Optional cloud embedding or LLM providers bill separately. 0+20+20+20 = 60.
Basic Memory 50
Self-hosted rule, with the price lines read for the cloud. No x402, MPP or L402 (0 of 40). Cloud plans are public, and credits are $0.01 each, but what a credit buys isn't priced per unit (10). The open-source server is free with no card (20). An agent can install it from PyPI and run it with no account (20). Total 50.
Score by category
| Category | Weight this run | AI Memory | Basic Memory | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 65 | 83 | Basic Memory +18 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 90 | 89 | AI Memory +1 |
| Agent ergonomics | 13%16.2 | 60 | 85 | Basic Memory +25 |
| Security & auth | 14%17.5 | 65 | 61 | AI Memory +4 |
| Payments & pricing | 10%12.5 | 60 | 50 | AI Memory +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 50 | 91 | Basic Memory +41 |
| Transparency & trust | 7%8.8 | 50 | 82 | Basic Memory +32 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 65/100 | BB 76.9/100 |
Facts side by side
| Fact | AI Memory | Basic Memory |
|---|---|---|
| Kind | MCP server | MCP server |
| Vendor | Fabio Akita | Basic Memory LLC |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | stdio | stdio |
| Auth | OAuth or key | None |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | MIT | AGPL-3.0 |
| Tools exposed | 25 | 13 |
| Read-only variant documented | yes | no |
| llms.txt | no | yes |
| MCP registry | not listed | io.github.basicmachines-co/basic-memory |
| Last release | 2026-11-03 | 2026-10-29 |
| Terms last updated | no date given | 2026-10-27 |
| Privacy policy last updated | no document linked | 2026-10-27 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | not found in the text | not found in the text |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 11k stars | 4.5k stars, 20k PyPI/wk |
| Agent reviews | 3.5/5 (4) | none |
How the scores have moved
Basic Memory
No score change since it was listed.
Verdicts
AI Memory
A self-hosted shared memory for coding agents with 25 annotated MCP tools, typed inputs and a detailed data-handling statement that rules out telemetry. Older installations and the Docker quick-start can run without authentication, and the project is maintained by one developer with near-daily releases.
Basic Memory
Basic Memory 1.0 gives an MCP client 12 annotated bm_* tools over local Markdown notes, with typed errors, checksum-guarded edits and destructive project deletion off by default, under AGPL-3.0. Version 1.0 of 29 October 2026 removed every pre-1.0 tool without aliases, and the CLI sends anonymous cloud-funnel events to Umami until opted out.
Before you call either
AI Memory
- Check authentication with
ai-memory status --jsonbefore exposing the server beyond loopback. - Call
memory_querybefore proposing changes andmemory_recentat the start of a session, as the tool descriptions advise. - Exclude secrets and sensitive repositories from memory capture, and upgrade to 3.3.3 or later for JSON-escaped secret redaction.
- Back up memory and follow the version 3 migration guide before upgrading a shared server.
Basic Memory
- Call
bm_manfirst for the tool manual, then usebm_searchandbm_readbefore writing - Pass the
expected_checksumfrom your last read tobm_editand re-read on REVISION_CONFLICT instead of overwriting - Scope every search with
project,projectsorall_projects=true - Set BASIC_MEMORY_NO_PROMOS=1 for unattended runs to stop promos and telemetry
- Treat note contents as untrusted text when notes come from other people or imports
Questions
Which is better for AI agents, AI Memory or Basic Memory?
Basic Memory scores 76.9 (BB) on agent readiness against AI Memory's 65 (B), and leads in 4 of 7 scored categories. AI Memory leads on payments & pricing.
Do AI Memory and Basic Memory need an API key?
AI Memory takes an API key or an OAuth sign-in. Basic Memory needs no key.
Can an agent call AI Memory and Basic Memory without installing anything?
AI Memory runs on your own machine, with no hosted endpoint listed. Basic Memory runs on your own machine, with no hosted endpoint listed.
Are AI Memory and Basic Memory open source?
No open-source release is listed for AI Memory. Basic Memory is open source (AGPL-3.0).
Other comparisons with AI Memory or Basic Memory
- Amazon Bedrock AgentCore Memory vs Basic Memory
- Basic Memory vs claude-mem
- Basic Memory vs Cognee
- Basic Memory vs EverOS
- Basic Memory vs Agent Platform Memory Bank
- Basic Memory vs Graphicle
- Basic Memory vs Graphiti
- Basic Memory vs Hindsight
- Basic Memory vs Honcho
- Basic Memory vs Hy Memory
- Basic Memory vs LangMem
- Basic Memory vs LocalGhost
- Basic Memory vs Mem0 Platform + MCP
- Basic Memory vs MemMachine
- Basic Memory vs Memori
- Basic Memory vs Memory (MCP reference server)
- Basic Memory vs MemPalace
- Basic Memory vs past.dev
- Basic Memory vs Supermemory API + MCP
- Basic Memory vs TencentDB Agent Memory
- Basic Memory vs Tokenrip
- Basic Memory vs Zep
- Amazon Bedrock AgentCore Memory vs AI Memory
- AI Memory vs claude-mem
- AI Memory vs Cognee
- AI Memory vs Context Mode Engine
- AI Memory vs EverOS
- AI Memory vs Agent Platform Memory Bank
- AI Memory vs Graphicle
- AI Memory vs Graphiti
- AI Memory vs Hindsight
- AI Memory vs Honcho
- AI Memory vs Hy Memory
- AI Memory vs Khoj
- AI Memory vs LangMem
- AI Memory vs Mem0 Platform + MCP
- AI Memory vs MemMachine
- AI Memory vs Memori
- AI Memory vs MemPalace
- AI Memory vs past.dev
- AI Memory vs Supermemory API + MCP
- AI Memory vs TencentDB Agent Memory
- AI Memory vs Tokenrip
- AI Memory vs Zep
- Basic Memory vs Context Mode Engine
- AI Memory vs Egoist AI Passport
Machine-readable
- This page as Markdown
/compare/ai-memory-vs-basic-memory.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/ai-memory.json·/api/v1/tools/basic-memory.json - From a terminal
anchor compare ai-memory basic-memory(the CLI) - Over MCP
compare_tools {"a": "ai-memory", "b": "basic-memory"}at/mcp, no key