Comparison
anything-llm vs lean-ctx
Verdict
Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; pick lean-ctx if leanCTX serves as a context intelligence layer for AI agents, providing localized control over read access and memory management while optimizing token usage for.
Markdown twin · anything-llm alternatives · lean-ctx alternatives
GraphCanon updated Oct 3, 2026
10views this month
Trust & integrity
| Signal | anything-llm | lean-ctx |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Oct 3, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Oct 3, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- anything-llm
- Self-hosted AI agent experience
- lean-ctx
- Control what your AI can see by serving context with a local Rust binary.
Stars
- anything-llm
- 66k
- lean-ctx
- 3.9k
Forks
- anything-llm
- 7.3k
- lean-ctx
- 352
Open issues
- anything-llm
- 315
- lean-ctx
- 5
Language
- anything-llm
- JavaScript
- lean-ctx
- Rust
Adopt for
- anything-llm
- anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
- lean-ctx
- LeanCTX serves as a context intelligence layer for AI agents, providing localized control over read access and memory management while optimizing token usage for numerous MCP tools, all powered by a local Rust binary.
Persona
- anything-llm
- -
- lean-ctx
- -
Runtime
- anything-llm
- -
- lean-ctx
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- lean-ctx
- Apache-2.0
Last pushed
- anything-llm
- Sep 17, 2026
- lean-ctx
- Oct 2, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- lean-ctx
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- anything-llm
- 315
- lean-ctx
- 5
Stars delta
- anything-llm
- +1.5k (30d)
- lean-ctx
- +373 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- lean-ctx
- 0 (30d)
Owner type
- anything-llm
- Organization
- lean-ctx
- User
Full report
- anything-llm
- Trust report
- lean-ctx
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; lean-ctx is Rust.
- License: anything-llm is MIT, lean-ctx is Apache-2.0.
- Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
- Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
- Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
- Also covers Inference & Serving.
- When you need a local-first AI agent experience that you can fully control and customize.
When NOT to use anything-llm
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
- When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
Choose lean-ctx if…
- lean-ctx is primarily Rust; anything-llm is JavaScript.
- License: lean-ctx is Apache-2.0, anything-llm is MIT.
- Tags unique to lean-ctx: context-engineering, context-intelligence, rust, token-optimization.
- When you require granular, localized oversight over what your AI can visualize, learn from, and store within its operations.
When NOT to use lean-ctx
- When there is a dependence on cloud-based solutions for context intelligence, since LeanCTX operates as a local binary.
- If your setup does not need context layering or token optimization. In such cases, using LeanCTX would incur overhead without providing significant benefits.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (yvgude/lean-ctx) · observed Oct 3, 2026
- GitHub forks (yvgude/lean-ctx) · observed Oct 3, 2026
- Last push (yvgude/lean-ctx) · observed Oct 2, 2026
- License file (Apache-2.0) · observed Oct 3, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: anything-llm 66k · lean-ctx 3.9k (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and lean-ctx?
- anything-llm: Self-hosted AI agent experience. lean-ctx: Control what your AI can see by serving context with a local Rust binary.. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over lean-ctx?
- Choose anything-llm over lean-ctx when anything-llm is primarily JavaScript; lean-ctx is Rust; License: anything-llm is MIT, lean-ctx is Apache-2.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose lean-ctx over anything-llm?
- Choose lean-ctx over anything-llm when lean-ctx is primarily Rust; anything-llm is JavaScript; License: lean-ctx is Apache-2.0, anything-llm is MIT; Tags unique to lean-ctx: context-engineering, context-intelligence, rust, token-optimization; When you require granular, localized oversight over what your AI can visualize, learn from, and store within its operations.
- When should I avoid anything-llm?
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
- When should I avoid lean-ctx?
- When there is a dependence on cloud-based solutions for context intelligence, since LeanCTX operates as a local binary. If your setup does not need context layering or token optimization. In such cases, using LeanCTX would incur overhead without providing significant benefits.
- Is anything-llm or lean-ctx more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 3,859). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and lean-ctx open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, lean-ctx: Apache-2.0).
- Where can I find alternatives to anything-llm or lean-ctx?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and lean-ctx alternatives (anything-llm markdown twin, lean-ctx markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, anything-llm or lean-ctx?
- anything-llm: Very active. lean-ctx: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for anything-llm and lean-ctx?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; lean-ctx trust report.