A CLI-first memory agent built on three primitives — remember, recall, answer — over 13 typed memory categories with conflict detection and temporal versioning. All retrieval runs through Moorcheh's proprietary information-theoretic search engine, which the CLI provisions either as a local Docker container (fully offline, no account) or as a managed cloud backend. External agents reach it via an MCP server, a local REST API, a TypeScript SDK, or one-command `memanto connect <tool>` wiring for a documented roster of coding agents and frameworks.
- Storage
- No conventional vector database is exposed — memories are indexed by Moorcheh's engine, running either as a free local Docker container or Moorcheh's managed cloud. Agent and session metadata is cached as local JSON files.
- Retrieval
- Single-query semantic retrieval through the Moorcheh engine, which the vendor describes as embedding-free with no separate reranking stage; typed filtering across the 13 memory categories; temporal queries via --as-of and --changed-since; and an `answer` mode that adds an LLM-grounded pass over retrieved memories.
- Self-host
- Self-host: trivial
- License
- MIT
- Pricing
- The CLI, MCP server, and SDKs are free and MIT-licensed, and fully local Docker mode is free with no account — memanto.ai now leads with 'Free forever, $0 … on-prem for $0, open source, no API key, no usage caps'. For the managed backend, memanto.ai quotes Moorcheh Cloud as 'free to start: 500 credits ≈ 100,000 operations, no card required'. Moorcheh's own site still advertises the free Builder tier and custom Sovereign/VPC deployment, but moorcheh.ai/pricing returned HTTP 404 on 2026-08-01, so the previously carded Production tier ($29/mo plus usage credits, unlimited vectors, 99.9% SLA) could not be re-confirmed and is carried over from the July capture. · Free + paid
- GitHub stars
- 1,791
- Last release
- 2026-08-05
- Last commit
- 2026-08-07
- First catalogued
- 2026-07-25
Strengths
- Genuinely one-command local setup — no vector database and no embedding pipeline to operate, with Docker auto-provisioned by the CLI wizard
- Broad first-party surface confirmed against live docs: 13 coding-agent pages plus 9 framework-adapter pages, not just a marketing count
- Typed 13-category memory model with conflict detection and temporal versioning, so contradictory facts are reconciled rather than stacked
- Benchmark claims are backed by an arXiv paper with an ablation study rather than only a blog post
- MIT-licensed with documented migration paths in from Mem0, Letta, and Supermemory
Watch out
- The retrieval engine doing the real work is proprietary and closed-source — the MIT license covers the CLI and SDK wrapper, so 'no vector DB' means a different, undocumented, vendor-controlled index rather than fully inspectable infrastructure
- The '100% free, no API keys' framing applies only to local Docker mode; the MCP quickstart and managed path both require a Moorcheh account, and scaling moves you to a $29/mo-plus tier
- Both headline numbers (LongMemEval 89.8%, LoCoMo 87.1%) are self-reported by the same team in their own preprint, with no independent reproduction found
- Very young — the GitHub org was created 2026-03-23, roughly four months before this card — with a high fork-to-star ratio typical of a trending but unproven repo
- The README's 'Claude Code, Cursor, Codex + 14 others' undercounts imprecisely; the live docs actually show 22 integration pages across two categories
Best for
- Developers wanting persistent memory shared across several coding agents with zero backend to manage
- Teams wanting typed, versioned memory with conflict detection without standing up a vector or graph store
- Offline or air-gapped setups that can run the local Docker engine with no account
How it integrates
MCP server (local-stdio)CLIREST APISDKSDKIDE extension (claude-code, cursor, cline, windsurf, continue, codex, gemini-cli, github-copilot, opencode, goose, roo, antigravity, augment)Framework adapter (langchain, langgraph, llamaindex, crewai, hermes-agents, mastra, vercel-ai-sdk, voltagent, openai-sdk)
Benchmark results
No sourced results yet.
Sources
- Memanto homepage pricing section — 'Free. Actually free. Run MEMANTO on-prem for $0 — open source, no API key, no usage caps'; 'Free forever $0'; 'Moorcheh Cloud is free to start: 500 credits ≈ 100,000 operations, no card required' (vendor)
- Moorcheh homepage — embedded schema.org SoftwareApplication offer still lists 'Builder Tier (Free)' at price 0.00 USD, and the site advertises Sovereign/private-VPC deployment; moorcheh.ai/pricing itself returns HTTP 404, so per-tier paid prices could not be re-verified (vendor)
- Monthly card re-verification — GitHub API repo metadata: 1,750 stars, license MIT confirmed, archived=false, last commit on the default branch 2026-07-31 (third-party)
- Repo metadata — 1,686 stars, MIT (LICENSE copyright EdgeAI Innovations Inc.), pushed 2026-07-24 (vendor)
- Memanto paper — typed semantic memory with information-theoretic retrieval; self-reported LongMemEval 89.8% and LoCoMo 87.1% (paper)
- Integration index — 13 coding-agent pages and 9 framework-adapter pages verified live (vendor)
- MCP integration docs — memanto-mcp over local stdio (vendor)
- Moorcheh pricing — free Builder tier, $29/mo Production, custom Sovereign (vendor)
- PyPI package memanto v0.2.10, released 2026-07-23 (vendor)
Last verified 2026-08-01 · updated by refresh-framework-cards