memsearch (Zilliz)
https://github.com/zilliztech/memsearch
Zilliz's persistent memory layer shared across agents like Claude Code and Codex: Markdown files are the source of truth, and Milvus indexes them for search. from the Milvus vendor
Active · Verified 2026-10-23 · fresh as of 2026-10-23 · 16 cited facts, 1 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Tier
- T3
- Section
- Coding-agent memory
- Created
- 2026-02-09 repo fix
- Latest release
- last commit 2026-10-22 repo fix
- GitHub
- https://github.com/zilliztech/memsearch (2775★) repo fix
- Pricing
- searched not found fix
- Funding
- searched not found fix
- Freshness
- 2026-10-23 fix
- Layer
- agent-infra repo fix
- Licensing
- open-source repo fix
- Developer activity
- OpenRank 8.69 (12-mo avg 7.8) · 38 participants — 2026-09 third-party fix
Memory taxonomy
- storage
- file
- retrieval
- hybrid-rerank
- persistence
- long-term
- update
- append-only
- unit
- chunk
- governance
- editable
- conflict
- append-only
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
searched not found
Cons
searched not found
Claims & capabilities
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- searched not found
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- searched not found
- A2A
- searched not found
- OpenTelemetry
- searched not found
Alternatives to memsearch (Zilliz) → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other coding-agent memory in the catalog, ranked by inbound references.
- 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.
- 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. Acquired by Harness (2026-10-08): Harness bought select Augment Code assets, including Cosmos, the Auggie CLI and the Context Engine, and the team joined Harness. augmentcode.com now leads with Cosmos, a software-factory agent platform.
- Letta Code T3
Letta's stateful coding-agent harness: agents rewrite their own memory blocks and skills, version context in git via MemFS (syncable to GitHub) and reflect via a periodic /sleeptime 'dreaming' process. from Letta (MemGPT) team. letta-ai/letta-code is now the main Letta source (harness, terminal UI, App Server, channels); the Letta V1 API server was retired to the archive branch of letta-ai/letta.
- Replit Agent T1
No documented built-in persistent semantic memory store. Session duration expanded to 200 min (Agent 3); Agent 4 shifts toward persistent runtimes. Temporal used for orchestration durability, not semantic memory. Cross-session memory relies on filesystem + agent-written notes.
- agentmemory (rohitg00) T3
Self-hosted persistent memory layer that captures coding-agent activity and recalls it in later sessions, positioned on public benchmark results. #7 in TeleAI Awesome-Agent-Memory
Sources (15 cited facts, 1 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Framework repo
- What it does & what's distinct Zilliz's persistent memory layer shared across agents like Claude Code and Codex: Markdo… repo
- Claims / benefits A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH)… repo
- Created 2026-02-09 repo
- Latest release last commit 2026-10-22 repo
- License MIT repo
- GitHub https://github.com/zilliztech/memsearch (2775★) repo
- Mindshare 2775 GitHub stars repo
- Project & sources https://github.com/zilliztech/memsearch repo
- architecture-deployment-locus hybrid repo
- licensing-bucket open-source repo
- positioning-platform-vs-product both repo
- taxonomy-three-layer-rollup agent-infra repo
- developer-activity-opendigger {"activity":96.77,"as_of":"2026-09","openrank_12mo":7.8,"openrank_current":8.69,"partici… third-party
- sdk-languages python repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
- 2026-10-23 Added to the catalog #222
Related systems
References (1)
- Milvus depends on at runtime — Claude Code, Codex, DSH), backed by Markdown and Milvus.